2026 CAP Congress / Congrès de l'ACP 2026

21 Jun 2026, 07:00 → 26 Jun 2026, 23:59 America/Toronto

U. Ottawa - Learning Crossroads (CRX) Building

Welcome to the CAP2026 Indico site. This site is being used for abstract submission, congress scheduling, and information. The majority of Congress activities are taking place in or near the Learning Crossroads building on uOttawa campus. The Welcome BBQ and Herzberg Memorial Public Lecture are taking place at Carleton U. For exact locations, please refer to the timetable on the lefthand side.  Click here to register for Congress     Bienvenue sur le site Indico d' ACP2026. Ce site est dédié à la soumission des résumés, à la programmation du congrès et à la diffusion d'informations. La plupart des activités du congrès se déroulent dans le bâtiment Learning Crossroads ou à proximité, sur le campus de l'Université d'Ottawa. Le barbecue de bienvenue et la conférence publique à la mémoire de Herzberg auront lieu à l'Université Carleton. Pour connaître les lieux exacts, veuillez vous reporter au programme affiché à gauche.   Cliquez ici pour vous inscrire au congrès

Sunday 21 June

13:30 → 16:00 Vacuum short course workshop - offered by Busch/Pfeiffer | Atelier intensif sur le vide - proposé par Busch/Pfeiffer

Busch-Pfieffer Vacuum Solutions is offering a workshop that provides a practical and physics-based overview of vacuum technology for engineers and scientists working in research and applied laboratory environments. This course has already been delivered at some universities and research centers, including McGill University, Queens University and the CLS.

Topics include the definition of vacuum and flow regimes, sources of gas load and pressure limitations, pumping speed and conductance, major vacuum pump technologies (roughing, turbomolecular, cryogenic, and capture pumps), vacuum components and materials, pressure measurement principles, residual gas analysis, and helium leak detection. Emphasis is placed on understanding real system behavior—outgassing, permeation, contamination, and leaks—rather than idealized specifications. The workshop concludes with best practices for system design, operation, troubleshooting, and maintenance in high and ultra-high vacuum applications.

14:00 → 16:00 Congress Registration | Inscription au Congrès

16:00 → 17:00 (CANCELLED) CAP Board, Advisory Council and CAP Reps Social Gathering | Réunion sociale du Conseil d'administration, du Conseil consultatif et des représentant(e)s de l'ACP

16:30 → 18:30 Student Event - Oral Presentation Workshop | Événement pour les étudiant(e)s - Atelier de présentation orale

Get ready to ace your oral presentations with our comprehensive training session! This workshop is designed to help you enhance your public speaking skills, structure your content effectively, and handle audience questions with confidence. Whether you're a first-time presenter or looking to refine your delivery, this session offers valuable tips and practice opportunities to ensure you present with clarity and impact. Don’t miss out on this chance to level up your presentation skills ahead of the Congress!

18:00 → 20:00 Congress Registration | Inscription au Congrès

18:30 → 21:00 Student Icebreaker Event | Événement brise-glace pour les étudiant(e)s

Kick off the Congress with an exciting Student Icebreaker! This is your chance to meet fellow students from diverse disciplines, exchange cultural insights, and create lasting connections. Participate in engaging activities and enjoy fun conversations in a relaxed atmosphere. It's the perfect opportunity to build friendships that will enrich your Congress experience. Don’t miss out on starting your Congress journey with new friends and shared experiences!

Monday 22 June

07:30 → 08:00 Congress Registration and Information (07h30-17h30) | Inscription au Congrès et information (07h30-17h30)

08:00 → 08:30 Fusion Energy in Canada | L'énergie de fusion au Canada (8h00 - 17h00)

08:40 → 09:00 Congress Welcoming Remarks (08h40-09h00) | Ouverture du Congrès (08h40-09h00)

Convener: Prof. Pierre Bénard (Université du Québec à Trois-Rivières)

09:00 → 09:45 M-PLEN1 Plenary Session | Session plénière - John Donohue, IQC/U.Waterloo

Convener: Daria Ahrensmeier

09:00 Quantum for Educators and Young Students

The explosion of public interest in quantum information technologies has provided an opportunity to interest more students in the ideas and applications of quantum mechanics. As research programs and institutes have grown in Canada, so have efforts to reach new communities and teach concepts in new and tactile ways. To allow high-school students to engage with quantum information science on a broad scale, it is essential to provide educators with the resources needed to understand and effectively communicate the topic to students. We have run the Quantum for Educators (QEd) workshop for ten years to address this need, providing hands-on activities and lesson plans designed for the classroom. To ensure broad and equitable access to introductory QIS education, such activities should be low-cost, easy to replicate, and intuitive, as well as connect to material present in the curriculum. In this talk, we will outline the QEd workshop and its approach to topics including quantum communication, quantum algorithms, and uncertainty, sharing survey feedback and lessons-learned from many iterations. We will also explore how enrichment programs can be developed for keen high-school students both in-person and virtually, as in the Quantum School for Young Students (QSYS) summer school which has run for 18 years, and how these connect to undergraduate-level programming like the 16-year-running Undergraduate School on Experimental Quantum Information Processing (USEQIP).

Speaker: John Donohue

2026-CAP-JDonohue-QuantumForEducatorsAndStudents.pdf

09:45 → 10:15 Health Break | Pause santé

10:15 → 12:00 (DPE) M1-1 Laboratory experiences | Expériences en laboratoire (DEP)

Convener: Ania Harlick (University of Toronto)

10:15 Teaching Students to be Scientists in a First-Year Physics Lab

Introductory labs often provide students with highly prescriptive instructions, limiting the independence, autonomy, and creativity that students can exhibit during the experiment. When students enter their first physics lab, they also have varying levels of understanding of the concept of experimental uncertainty, how it arises, and how to interpret it.

To address these challenges, the University of Toronto Department of Physics recently redesigned a first-year physics lab curriculum to emphasize experimental design, uncertainty, and data analysis. Instead of running a different experiment every week, students investigate a single experiment over multiple weeks, with data being collected in the first week and then analyzed it in the second. This new model encourages students to think like a scientist by deciding what data to collect, how to measure it, and how to understand their results.

In this presentation, I will discuss the structure of the revised lab, share key lessons learned from its implementation, and comment on how it will be further improved in future semesters. I will also summarize the general trends from student feedback and reflect on how this new model shaped their understanding of experimentation.

Speaker: Matthew Robbins (University of Toronto)

CAP 2026 presentation.pdf

10:45 Soldering and Fun: Getting Students Started in Electronics With a Custom Printed Circuit Board

The capability to construct custom electronics is crucial in many areas of experimental physics, but the associated skills and knowledge are not normally covered in regular classroom or laboratory instruction.

We present a novel electronics teaching kit featuring a custom printed circuit board (PCB) that has been designed to introduce individuals of diverse technical backgrounds to fundamental electronic components and soldering practices. The kit, a class-D audio amplifier, largely features discrete electronic components and a minimal number of integrated circuits (LM393 comparator and TLC555 timer), striking a balance between circuit transparency and real-world functionality. To further promote transparency, the circuit schematic is printed on the front of the PCB, visually connecting most components in an easy to follow fashion. The amplifier itself is powered by USB-C with the analog audio signal being provided through a 3.5mm headphone jack ensuring compatibility with common electronic devices.

A central goal of this project is to allow students agency to explore the world of electronics outside of a rigid, step-by-step set of instructions. To that end, a dedicated "custom development area" patterned after a traditional solderless breadboard has also been included on the PCB in addition to the core amplifier circuit. This feature enables participants to experiment with electronic principles and facilitates the integration of secondary audio sources and power supplies into the PCB. Furthermore, students are also encouraged to design and fabricate a custom enclosure for the included speaker through 3D printing, integrating electronics with computer aided design (CAD) and additive manufacturing.

This project is fully open-source, and the design files and documentation can be accessed on github. Fifty kits were distributed to University of Waterloo students spanning a wide range of academic and technical backgrounds. We will report on this trial and possible extensions to this project.

Speaker: Mr Zekun Hao (University of Waterloo)

11:00 1st Year Physics labs: Engaging Students During Labs

As an active member of the 1st year Physics lab community in the department of Physics and Astronomy at York University, spanning a time from the late 1990’s to the present, I have observed a variety of changes in the laboratory experience. Over this time universities have navigated through a pandemic and rapid technological change. Keeping pace with these changes continues to be a challenge. With the advent of AI, keeping students engaged during the labs and facilitating active learning is a constantly evolving and ongoing process. One of the biggest challenges is student understanding of preparation for an upcoming lab. This generally involves the process of preparing for a lab in advance by reading the laboratory manual and completing a set of prelab exercises or a prelab quiz. Another challenge is engaging student critical thinking skills by guiding students to use the experiment at hand during a lab to answer questions instead of asking AI platforms, such as Chat GPT or a search engine. Additionally, the role of the TA or instructor leading the laboratory session can have a strong affect on the learning experience of the students. During this presentation I will share some of the changes and challenges I have experienced over the years and what has been implemented in the 1st year physics labs at the new Markham Campus of York University.

Speaker: Gloria Orchard (York University)

Orchard-CAP 2026 DPE Presentation.pdf

11:15 Emulated Gravitational Lensing in the Undergraduate Laboratory

General relativity predicts the deflection of light by the gravitational field of massive bodies. This deflection can result in the distortion and magnification of images of distant celestial objects, which is a phenomenon called gravitational lensing. In the work presented here, acrylic disks are machined into lenses with a curvature that deflects light in much the same way as a gravitational lens. This emulated gravitational lensing results in images of Einstein rings and arcs as in strong gravitational lensing, tangential shear of background images as in weak gravitational lensing, and simulates the increased brightness of a background object as in gravitational microlensing. The emulated mass of the lens is determined from the lensed images in each gravitational lensing regime. These mass measurements agree with each other and with the expected emulated mass based on the machined curvature of the lens. Systematic effects are studied and results are compared using various distance scales and lenses.

Speaker: Daniel FitzGreen (McMaster University)

11:30 Lessons learned – a graduate student’s reflections on standing on the other side of the classroom

A common feature of many physics graduate programs is taking on roles as teaching assistants (TAs). The responsibilities and time commitments of these positions come with considerable variance, from relatively passive tasks, such as grading, to fully student-facing roles of teaching. In their more student-facing roles, TA positions can be influential in student growth and experience. Indeed, in many cases, the opportunities afforded by acting as a TA represent formative exposure to physics education and mentorship. However, while these responsibilities are often a net positive on the educational experience of graduate students, they are not without challenges. The most ubiquitous of challenges comes from the, at times, considerable contribution of TA duties to graduate student workload over the course of their programs. This is particularly true for students who enjoy the more education and science communication driven aspects, and struggle to balance those interests with an already demanding research schedule. Moreover, for many graduate students, their role as a TA is made harder by language barriers. Here, as a graduate student at the end of my PhD program, I hope to share my own experiences in navigating student interaction and instruction in a second language and balancing research and TA commitments.

Speaker: Daniel Trotter

10:15 → 12:00 (DAMOPC) M1-10 X-UV Generation and Ultra-short Pulse Lasers/Physics | Génération de rayons X-UV et lasers à impulsions ultracourtes / physique (DPAMPC)

Convener: Brynle Barrett (University of New Brunswick)

10:15 Watching a molecular bond break

Polarization and correlation effects in molecular photodynamics are intimately tied to the coupled motion of electrons and nuclei. Understanding these interactions on their natural femtosecond timescales requires measurements that resolve both electronic structure and nuclear configuration simultaneously. Here, we present a complete imaging study of the UV-initiated dissociation of Br₂ using a femtosecond pump–probe scheme combined with COLTRIMS-based electron–ion coincidence detection [1]. Using 400 nm pump and 800 nm probe femtosecond pulses, we track the time-resolved evolution of molecular fragmentation through both electronic and structural observables. Our experiment provides a direct, molecular-frame view of how electron correlation, orbital coherence, and ionic polarization influence dissociation dynamics on the few-femtosecond scale.

The initial 400 nm excitation populates the dissociative C-state of Br₂, launching a neutral dissociation process [2]. A delayed 800 nm pulse ionizes the evolving fragments at controlled delay times, allowing us to correlate the kinetic energy release (KER) with photoelectron momentum distributions. The use of COLTRIMS enables full three-dimensional momentum imaging in coincidence, revealing both ionization dynamics and internuclear distance evolution with sub-cycle temporal resolution [3].

The measured photoelectron distributions show striking delay-dependent features, including angular asymmetries, ATI ring modulation, and high-momentum enhancements that encode coherence and polarization effects tied to the evolving charge environment. These features reflect the progressive change in parent-ion polarizability and the transition from multi-center (molecular) to single-center (atomic) scattering regimes. Semiclassical two-step (SCTS) modeling and time-dependent density functional theory (TDDFT) simulations confirm that tunnel ionization probes a superposition of molecular and atomic polarization channels whose relative contributions evolve during bond breaking.

We find an approximately 50 fs temporal offset between the completion of electronic orbital reconfiguration and structural dissociation, indicating that electron dynamics precede and drive nuclear rearrangement. This decoupling of electronic and nuclear observables is a hallmark of correlated dynamics and emphasizes the need for complete measurements, specifically ion–electron coincidence in the molecular frame, to determine true reaction timescales.

Our results demonstrate how ultrafast correlation, ionic polarization, and multielectron coherence shape molecular dissociation and strong-field ionization pathways. This study exemplifies the power of multi-observable approaches for uncovering coherence and correlation in the interaction of intense laser fields with complex molecular systems.

References
[1] T. Wang et al., manuscript submitted (2026)
[2] W. Li et al., 2010, PNAS 107, 20219
[3] J. Ullrich et al., 2003, Rep. Prog. Phys. 66, 1463

Speaker: Dr Nida Haram (Joint Attosecond Science Lab, National Research Council and University of Ottawa, ON K1A 0R6, Canada)

Nida_Haram_CAP Congress 2026.pdf

10:30 Quantum Dial for High-Harmonic Generation

High-harmonic generation (HHG) is a highly nonlinear optical process that typically requires an intense laser to trigger emissions at integer multiples of the driving field frequency. However, the strong fields required for conventional HHG inevitably perturb the system, limiting its use as a nondestructive spectroscopic probe. Recent advances in bright squeezed vacuum (BSV) sources have created opportunities to drive HHG with quantum fields alone. In this work, we demonstrate a regime in which the light-matter interactions can be controlled and tuned using a weak classical field, whose pulse energy is two orders of magnitude lower than that in standard HHG-perturbed by an even weaker quantum field, such as BSV. This approach opens new avenues for nonlinear spectroscopy of materials while substantially suppressing strong laser-induced damage, distortions, and heating. We show that a BSV pulse containing less than 5% of the classical driving energy can act as an 'optical dial', allowing tuning of the nonlinear emission spectrum, emission angular dependence, and ionization.

Speaker: Lu Wang (University of Ottawa)

2509.13518v2.pdf

10:45 XUV generation with toroidal pulse

When an electron interacts with an intense laser field, it is driven to relativistic velocities and emits radiation at integer multiples of the laser frequency (harmonics), thereby upconverting optical light into the extreme-ultraviolet or beyond. This process, known as the relativistic nonlinear Thomson scattering, is governed by the combined action of the electric and magnetic components of the laser field, both of which play a crucial role in determining the emitted radiation. Prior investigations of nonlinear Thomson scattering have considered a variety of electromagnetic beam configurations, including linearly, circularly, radially, and azimuthally polarized beams, as well as vortex beams.

Here, we consider relativistic emission driven by a toroidal pulse—an exact solution of Maxwell’s equations with unique properties. In contrast to Gaussian pulses, its spatial and temporal structures are intrinsically coupled and cannot be factorized into independent spatial and temporal profiles. The toroidal pulse exhibits a distinct toroidal topology: the magnetic field forms a doughnut-like structure around the propagation axis, while the electric field wraps along its surface, leading to a pronounced longitudinal component aligned with the direction of propagation. Thus, the toroidal pulse is also known as the flying electromagnetic doughnut. At the focal center, the toroidal pulse is characterized by a tightly localized, single-cycle electric field.

Our results suggest that at substantially lower pulse energies than those required for conventional Gaussian drivers, a toroidal pulse with peak field strength $E_0=10^{12}\,\text{V/m}$ ($a_0\approx0.2$) already leads to strongly directional radiation up to 150 eV, which corresponds to 100th harmonics of a $0.8$\textmu m laser. Our research offers new alternatives to UV and X-ray sources, high-harmonic generation, and advanced light–matter interaction studies.

Speaker: Lu Wang (University of Ottawa)

11:00 Suppression of Amplified Spontaneous Emission in Fe:ZnSe Amplifier

We present a scheme to suppress Amplified Spontaneous Emission (ASE) in a high-gain Fe:ZnSe chirped pulse amplifier (CPA) by increasing the seed energy from sub-µJ to sub-mJ level. The high-energy seed pulses are generated using a broadband optical parametric chirped pulse amplifier based on ZnGeP2 (ZGP) pumped by a Ho:YLF CPA.

Shifting the driving wavelength in ultra-fast physics, e.g. High Harmonic Generation (HHG) to the mid-infrared (MIR) brings various benefits and will be a vital step to elevate experiments to the next level. While HHG driven by Ti:Sapphire lasers can reach cutoff energies of up to 130 eV, HHG driven by a 4 µm laser could reach energies above 1 keV. This would enable attosecond transient absorption spectroscopy experiments on vital elements such as 3d transition metals, Fe, Co, and Ni.
An essential step for this is generation of short, high-energetic laser pulses in the MIR. Fe:ZnSe is a promising candidate to become the workhorse of MIR pulsed lasers. It has many similarities to Ti:Sapphire, including a broadband emission bandwidth. In the past, we showed a Fe:ZnSe CPA capable of delivering up to 4.33 mJ. The total energy of this system was limited by ASE.
By preamplifying the seed using a ZGP OPCPA, we can reduce the ASE in the amplifier. The OPCPA can increase the energy from sub µJ to >100 µJ with very low optical parametric generation It will lead to significantly reduced ASE in the Fe:ZnSe CPA, which will enable a further increase of its output energy- and will allow the addition of a second amplification stage.

Speaker: Mr Jon Morten Drees (University of Ottawa, Canada)

11:15 Polarization-Controlled On-Axis Phase Matching in Extreme Four-wave Mixing

Three photons interacting in a Kerr nonlinear medium to produce a fourth photon, called four-wave mixing (FWM), has found a wide range of applications such as parametric amplification and quantum optics. Because the gain scales with the pump intensity, ultrafast pump lasers enable FWM at extreme intensities, leading to enormous amplification. However, within scalar or co-polarized models of the Kerr nonlinearity, on-axis parametric gain is absent, and Kerr-driven instabilities rely on phase matching that favours off-axis modes through transverse momentum conservation. Non-collinear propagation reduces the pump-seed interaction length, placing an upper-bound on the achievable amplification.
Here we show that this picture changes when the seed field is orthogonally polarized with respect to the pump. We demonstrate that although orthogonal polarization reduces the effective gain, it allows on-axis phase matched parametric amplification in an otherwise isotropic Kerr medium, enabling significantly longer interaction lengths. In this regime, birefringence offers further control over the phase matched gain bandwidth.
The existence of on-axis gain has important consequences for the stability of the pump itself. In particular, it implies that the pump becomes unstable to on-axis perturbations in the orthogonal polarization, even in the absence of an external seed. At sufficiently high intensities and interaction lengths, this instability should manifest as on-axis spontaneous FWM or polarization-enabled modulation instability. These results identify polarization as a powerful control parameter for Kerr-instability dynamics and revise the standard understanding of phase matching in extreme four-wave mixing.

Speaker: TJ Hammond (University of Windsor)

CAP_2026_OrthoKIA.docx

11:30 High Harmonic Generation from a Noble Metal

High harmonic generation (HHG) – the signature of strong field physics – has been demonstrated in transparent solids. The underlying mechanisms in solids are commonly classified as interband emission, arising from laser-driven electron–hole recombination, and intraband emission, originating from nonlinear carrier motion within non-parabolic bands. In contrast, HHG from metals has remained unexplored.
In metals, due to the poor penetration of light, the electrons experience a much weaker field than the incident laser field. Hence, HHG from metals has remained largely unexplored. Recently, observation of HHG in plasmonic titanium nitride (TiN) suggested intraband-dominated emission occurs at laser intensities close to the damage threshold, opening the question of whether and how harmonics can be generated in conventional metals. Here, we report vacuum ultraviolet HHG from epitaxial thin films and bulk single-crystal silver, a noble metal.
In the experiment, few-cycle near-infrared (NIR) pulses centered at 780 nm are focused onto 65 nm thick epitaxial Ag films in reflection geometry, and the emitted harmonics are detected in the far field. Bright harmonics up to the 11th order, corresponding to photon energies near 19 eV, are observed. Under identical illumination conditions, films deposited on silicon withstand intensities of 30 TW/cm², surpassing the damage threshold of TiN before lattice modification occurs. Our theoretical analysis indicates that, at near-damage intensity, the dominant contribution to harmonic emission in silver arises from transitions involving d-electrons.
We further investigate polarization and crystal orientation effects. Using circularly polarized NIR field, efficient harmonics are generated in accordance with space–time symmetry selection rules, and the harmonic yield exhibits a six-fold rotational symmetry reflecting the Ag (111) crystal structure.
These results demonstrate that HHG is a universal response of metals driven near their damage threshold and extend ultrafast strong-field spectroscopy into the metallic regime, where lattice order and plasma formation intersect. HHG from metals is promising in the development of integrated VUV photonics. Metals pumped with conventional laser sources can now fill all roles from the source of the VUV to heat sinking the nonlinear material to a thermal bath.

Speaker: Shima Gholam Mirzaeimoghadar (University of Ottawa)

High Harmonic Generation from a Noble Metal.pdf

11:45 Modelling radiation-balanced solar pumped lasers with a quantum optical framework

The physics of solar pumped and radiation-balanced lasers lies in the intersection between solar pumped solid-state materials and the anti-Stokes optical cooling of solids. A solar pumped laser utilizes filtered sunlight directly to pump a gain medium and achieve population inversion for lasing output. Experiments around creating functional solar lasers have been conducted for around two decades now and solar lasers can produce powers in the tens of Watts. Typical solar pumped lasers will utilize a foil to focus around a $1$ $m^2$ area of sunlight onto a rare-earth-doped crystal acting as a gain medium. Depending on the time of day and location on Earth, the solar irradiance is on the order of $600-1000$ $W/m^2$. Furthermore, only a fraction of the solar spectrum can act as a pump for the gain medium. The other important constraint and challenge is to manage the thermal load on the gain medium, knowing that temperature directly affects the lasing threshold and efficiency.

We explore the modelling and feasibility of designing a radiation-balanced solar pumped laser using a common solid-state laser gain media consisting of doped Yttrium Aluminium Garnet (YAG) with Ytterbium (Yb:YAG). Ion doped gain media can be modelled with a fully quantum optical framework because the embedded ions are not interacting with each other and their contributions can be summed. We design the solar pumping and lasing transitions to optimize for additional anti-Stokes cooling transitions to occur efficiently. A fully quantum model helps to elucidate how the microscopic energy exchanges within the gain media, the laser cavity, and the incoherent solar pump are scaled to the macroscopic laser output. Such a design would allow for self-sufficient laser operation in which solar irradiance would both pump and cool the gain media to operate at ideal conditions and maximize laser power output; we aim to demonstrate the feasibility of solar pumped lasers for renewable energy applications.

Speaker: Ahmed Jaber (University of Ottawa)

10:15 → 12:00 (DQI) M1-2 Quantum Information Theory I | Théorie de l'information quantique I (DIQ)

Convener: Daria Ahrensmeier

10:15 On the power of multipartite entanglement for pseudotelepathy

As early as 1935, Schrödinger recognized entanglement as “not one, but the characteristic trait of quantum mechanics, the one that enforces its entire departure from classical lines of thought”. Indeed, most remarkable phenomena in quantum information science, such as quantum computing and quantum teleportation, spring from clever uses of entanglement. Among them, pseudotelepathy enables two or more players to win systematically at some cooperative games with no need for communication between them, a restriction that would make the task impossible in a classical world. We investigate the power of multipartite entanglement for pseudotelepathy. Some known games that can be won with tripartite entanglement cannot be won with bipartite entanglement, but they can be won with bipartite non-signalling resources such as the so-called Popescu-Rohrlich nonlocal box. We exhibit a five-player game that can be won with tripartite entanglement, but not with arbitrary bipartite non-signalling resources even in the presence of arbitrary five-partite classical resources. This illustrates both the power of bipartite non-signalling resources (over bipartite entanglement) and the even superior power of tripartite entanglement.

Speaker: Prof. Xavier Coiteux-Roy (University of Calgary)

10:45 From Fast‑Scrambling Black Holes to Cosmological Complexity: Quantum Information Tools for Gravity

Quantum information provides new ways of thinking about gravity. I’ll first describe our work on black holes viewed as fast “scramblers” of information: if a black hole mixes its internal information very quickly, then someone falling in would encounter a high-energy barrier (a “firewall”) almost immediately, rather than passing smoothly through the horizon as Einstein’s theory suggests, and that every astrophysical black hole in the universe will already have a fully developed firewall. Turning to cosmology, we use a simple measure of how “complicated” the tiny patterns of matter and energy become as the Universe expands. During the rapid growth phase of the early Universe, this complexity increases steadily, but in later eras it drops and eventually stops changing. We also find a maximum rate at which this complexity can grow, with the inflationary period reaching that limit. These results show how ideas from information theory can shed light on both black holes and cosmic evolution.

References:

A. Bhattacharyya, S. Das, S. Haque, B. Underwood, Phys. Rev. D 101, 106020 (2020); Phys. Rev. Research 2, 033273 (2020).
Z-W. Wang, S Das, S. L. Braunstein, arXiv:2206.02053.

Speaker: Prof. Saurya Das (University of Lethbridge)

11:15 Additivity and Nonadditivity of Quantum Channel Capacities

A central goal of quantum information theory is to determine the capacities of a quantum channel for sending different sorts of information. I’ll highlight the new and fundamentally quantum aspects that arise in quantum information theory compared to the classical theory. These include the central role of entanglement, nonadditivity, and synergies between resources. I will also discuss some challenging open questions that we will have to solve to push the theory forward.

Speaker: Prof. Graeme Smith (University of Waterloo)

11:45 Security of quantum position-verification

In this talk I will review recent progress on understanding the security of quantum position-verification, a proposal to use quantum communication to verify the location in space of a party remotely. In particular I will review the $f$-routing proposal and lower bounds on the entanglement or complexity cost to cheat in this scheme. Based on https://arxiv.org/abs/2402.18648, https://arxiv.org/abs/2402.18647 and upcoming work.

Speaker: Alex May (Perimeter Institute for Theoretical Physics)

10:15 → 12:00 (DAMOPC) M1-3 THz Generation, Detection and Theory | Génération, détection et théorie des ondes THz (DPAMPC)

Convener: Dr Duncan O'Dell (McMaster University)

10:15 Enhanced THz gas spectroscopy using hollow-core THz fibre.

Terahertz spectroscopy provides a powerful means of identifying gas-phase molecules through their characteristic spectral signatures. However, several technical hurdles still limit sensitive monitoring and high-frequency resolution, both of which are essential for distinguishing different gas species. While increasing the light-sample interaction length is beneficial, the relatively large beam size and divergence of terahertz radiation require a sizeable gas enclosure to substantially increase the interaction length. This configuration not only restricts the development of compact systems, but it also becomes a fundamental limitation for applications where only a small amount of the analyte gas is available.
In this work, we introduce a fibre-based terahertz gas spectroscopy platform that addresses these limitations by combining an anti-resonant hollow-core terahertz fibre with terahertz time-domain spectroscopy. We demonstrate a hollow core photonic crystal fibre that guides the terahertz field while simultaneously serving as a gas cell with an optimized geometry that minimizes the required sample volume. The fibre confines the radiation within its core by anti-resonant reflection, setting the effective interaction length between the field and the gas to 10 cm, which is the fibre length. The setup relies on broadband terahertz pulses generated through optical rectification in a GaP crystal and coupled into the fibre using free-space optics, while the transmitted THz field is detected by electro-optic sampling. This fibre-based architecture offers a compact alternative to conventional free-space gas cells while supporting broadband molecular spectroscopy. In brief, this work explores hollow-core terahertz fibres as a viable platform for THz gas spectroscopy, enabling applications ranging from toxic gas detection to non-invasive, breath-based diagnostics through waveguide-enhanced light-matter interaction.

Speaker: SUBHROJYOTI BHATTACHARYA (University of Ottawa)

10:30 Real-time pump-probe characterization of laser-induced glucose melting.

Organic materials are the building blocks of life. From simple molecules such as glucose to complex proteins and DNA, these organic compounds drive essential processes that make life possible. Many of these processes involve thermally induced phase transitions - rapid structural or chemical changes occurring on very short timescales, many ranging from milliseconds to microseconds. The terahertz (THz) spectral window overlaps with the vibrational energies of many of these organic materials and can be used to investigate collective molecular motions, allowing changes in molecular structure and chemistry to be closely monitored.
Glucose, a key organic compound, serves as a prime example, as it exhibits a sharp THz resonance indicative of its crystalline structure and features an intriguing temperature-induced melting process eventually leading to caramelization. To investigate this transition, we employ real-time single-pulse THz spectroscopy, a technique capable of capturing rapid, irreversible chemical changes with microsecond resolution. In this study, we monitor the real-time melting dynamics of glucose using both visible-light transmission and single-pulse THz monitoring in a pump-probe configuration, resolving individual pulses at the laser’s repetition rate. Simultaneous high-speed imaging provides spatially resolved snapshots of the transition from microscopic crystals to liquid.
We present insights into temperature-induced phase transition in glucose on a sub-millisecond timescale. Such investigations will further advance our understanding of ultrafast irreversible physical and chemical processes in organic materials and, more broadly, biological systems.

Speaker: SUBHROJYOTI BHATTACHARYA (University of Ottawa)

10:45 Nonlinear guided-wave terahertz generation and detection for high-speed communications

We demonstrate compact terahertz (THz) components that combine a photonic crystal waveguide with a plasmonic bull’s-eye coupler. The waveguide, formed by a pattern of laser-written holes that extend through the thickness of a GaP window, allows efficient THz generation through optical rectification of a co-propagating near-infrared pulse. A similar waveguiding structure allows sensitive guided-wave detection via electro-optic sampling. These THz components address key limitations of free-space THz systems, including phase mismatch, short interaction lengths, weak mode overlap, and alignment sensitivity.

The waveguide is engineered to tailor the effective refractive index of the THz mode, achieving velocity matching with a co-propagating near-infrared pulse. This design increases optical-to-THz conversion efficiency by extending the coherence length beyond that of bulk GaP. The plasmonic bull’s-eye antenna further enhances performance by concentrating incident THz fields into a small interaction volume and coupling them efficiently into the guided mode.

We demonstrate this concept with broadband and tunable THz generation and detection from 1.9 to 3.9 THz. Significant improvements are observed in comparison to results obtained with a bulk GaP crystal.

All structures are fabricated directly in bulk GaP using femtosecond laser writing, enabling precise three-dimensional patterning at the micrometer scale. This scalable and versatile fabrication approach allows rapid prototyping while ensuring consistent, reliable device performance. The resulting platform provides a compact, high-performance solution for both THz generation and detection, with strong relevance for next-generation high-speed wireless communication systems.

Speaker: HESAM HEYDARIAN (Department of Physics, University of Ottawa)

Hesam Heydarian _ Nonlinear guided-wave terahertz generation and detection for high-speed communications _ CAP Abstract.docx

11:00 Terahertz spectroscopy over 25 THz bandwidth enabled by BNA crystals and a single-ring-fiber pulse compressor

Terahertz time-domain spectroscopy (THz-TDS) is a non-invasive technique capable of probing the complex dielectric properties of a wide range of organic and inorganic materials. When combined with an ultrafast pump pulse, THz-TDS systems enable the investigation of nonequilibrium excitations in semiconductors, superconductors, topological insulators, Dirac and Weyl semimetals, heavy-fermion systems, and quantum spin liquids.
Although significant progress has been made in extending the bandwidth of the THz-TDS over the past decades, systems capable of efficiently covering the frequency range between 5 and 15 THz remain scarce. Conventional THz generation and detection schemes based on difference-frequency mixing in second-order nonlinear semiconductor crystals are fundamentally limited in this range by strong phonon absorption. Alternative approaches, such as air-plasma and metallic spintronic THz sources, can access the 5-15 THz region but typically suffer from a relatively low generation efficiency.
Emerging organic nonlinear crystals offer new opportunities for efficient THz generation and detection from near-infrared pulses due to their large optical nonlinear coefficients and favorable phase-matching conditions. We present an ultrabroadband THz-TDS system that uses organic BNA crystals for both THz generation via optical rectification and detection via conventional electro-optic sampling, combined with a tunable single-ring hollow-core photonic crystal fiber (HC-PCF) compressor to temporally shorten the near-infrared pulses from a commercial Yb:KGW ultrafast amplifier at 1030 nm. The resulting system spans 0.3 to 25.2 THz, with a significant portion of the spectrum falling within the “new THz gap” between 5 and 15 THz.
This configuration extends the accessible spectral range beyond that previously achieved with Yb-based organic-crystal systems and offers a streamlined single-color, broadband THz-TDS platform. The presented system provides a robust tool for exploring phonon and polariton dynamics in two-dimensional and semiconductor systems, as well as excitonic phenomena in quantum materials.

Speaker: Wei Cui (University of Ottawa)

Wei CAP 2026_v3.docx

11:15 Efficient THz‑to‑NIR upconversion in BNA for quantum-level THz detection

Nonlinear frequency upconversion of terahertz (THz) radiation into the near infrared (NIR) or visible offers a highly sensitive approach to THz detection. This method is particularly appealing because it avoids the need for bulky cryogenic systems to suppress thermal background noise. Considerable effort has gone into developing nonlinear THz detection schemes, exploring a wide range of materials to improve both sensitivity and accessible bandwidth. Recent advances in organic crystals have been especially promising, since their large optical nonlinearity and favorable phase matching properties enable efficient THz to NIR upconversion at optical frequencies extending up to 25 THz.
Here, we present an approach for nonlinear frequency upconversion detection around 10 THz using the organic crystal N-benzyl-2-methyl-4-nitroaniline (BNA). The upconverted photons resulting from the interaction of a THz pulse with a near-infrared pulse in the crystal are spectrally resolved with a monochromator and detected using a commercial silicon-based single-photon detector. A polarizer, spatial filter and a spectral filter also enhance the detection sensitivity towards the single-photon level. We can accurately estimate the detection sensitivity by calibrating the measured SFG photon counts against the THz photon number extracted from standard electro-optic sampling. We further characterize the optical losses and the detector quantum efficiency to obtain the internal conversion efficiency in the crystal. Initial measurements at 4 THz show that a single THz pulse containing 60 photons can be detected with more than 50% probability. At higher THz frequencies, improved conversion efficiency is expected to further enhance sensitivity. Measurements are underway to extend the characterization up to ~12 THz. This work provides a practical route to a room-temperature, single-photon-level upconversion detection scheme near 10 THz for THz quantum optics.

Speaker: Aswin Vishnu Radhan (University of Ottawa)

2026_CAP_congress_Aswin_Vishnu_Radhan_v2.docx

11:30 THz high-harmonic generation in graphene-based materials: from engineered THG enhancement to symmetry-forbidden emission

Terahertz (THz) nonlinear optics is an emerging platform for studying strong-field light-matter interactions at low photon energies[1]. Because THz photon energies are far below typical interband transition energies, nonlinear responses are governed primarily by THz-driven thermodynamic response of the background Dirac carriers. In this regime, intraband acceleration of residual carriers and carrier heating play central roles[2]. These processes shape carrier transport and nonlinear optical response, motivating both fundamental studies and device concepts for nonlinear THz frequency conversion. High-harmonic generation (HHG) is a direct route to such conversion, producing phase-coherent spectral components at integer multiples of the pump frequency and upconverting THz signals into higher-frequency bands relevant to ultrahigh-speed information and wireless communications.
Graphene is a particularly attractive platform because its Dirac dispersion supports a strong intraband response and exceptionally large THz nonlinearities under ambient conditions3. Here, we use a table-top high-field THz platform with advanced THz spectral filtering to enable field-resolved characterization of nonlinear emission. Within this framework, we demonstrate enhanced third-harmonic generation (THG) by stacking graphene layers, applying electrostatic gating, and employing metasurface-assisted field engineering[3]. We then apply the same methodology to graphene oxide (GO), a chemically functionalized derivative of graphene, and observe THz HHG that includes phase-coherent spectral components at even harmonic positions. We investigate the origin of this signal by systematically ruling out incoherent, phase-random contributions and nonlinear responses from residual symmetry breaking. Overall, our results show that engineered graphene platforms can boost and tune THz nonlinearity, while GO can unlock non-perturbative pathways that broaden the accessible harmonic spectrum, supporting compact and reconfigurable THz components for frequency conversion and waveform engineering.
References
1. Hafez, H. A. et al. Adv. Opt. Mater. 8, (2020).
2. Hafez, H. A. et al. Nature 561, 507–511 (2018).
3. Maleki, A. et al. Light Sci. Appl. 14, 1–10 (2025).

Speaker: Ali Maleki (University of Ottawa)

Abstract_CAP_2026_Ali.pdf

11:45 Towards fast and sensitive terahertz detection for high-speed wireless communications

The continuous surge in internet usage and the growing demand for higher data-transfer rates are driving the exploration of new, unallocated frequency bands, pushing research toward higher frequencies in the terahertz (THz) range. THz frequencies offer exceptionally wide bandwidths capable of supporting data-transfer rates of the order of terabits per second. The realization of high-speed THz communications relies on advancements in three key areas: signal generation, propagation and detection. This work focuses on the fast and sensitive detection of THz signal. Although THz radiation is widely used in many areas including astronomy, imaging, security and non-destructive analysis, high-speed THz detectors still remain a challenge. Traditional THz time-domain spectroscopy (THz-TDS) detection techniques and thermal based detectors are not suitable for high-speed wireless communications, mainly due to their slow response times. To overcome this limitation, we exploit fast detectors operating in the near-infrared (NIR) region of the electromagnetic spectrum. Specifically, we take advantage of a nonlinear process called sum-frequency generation (SFG) in a nonlinear crystal. The SFG photons generated from the interaction between NIR and THz signals lie in the NIR region and preserve the spectral information of the THz radiation. A fast avalanche photodiode with rise and fall times of the order of a few hundred picoseconds is used to achieve sensitive detection and rapid acquisition of THz signals. Using optimized amplitude levels for pulse-amplitude modulation (PAM), we aim to achieve data transfer-rates of hundreds of gigabits per second, with the potential to reach terabits per second.

Speaker: Eeswar Yalavarthi (University of Ottawa)

Eeswar_CAP_2026.docx

10:15 → 12:00 (DCMMP) M1-4 Soft Matter 1: Polymers and Glasses | Matière molle 1 : Polymères et verres (DPMCM)

Convener: Greg van Anders (Queen's University)

10:15 Elastic properties of polycatenane chains and ribbons

Single-chain elasticity is of fundamental importance in polymer physics, as it underlies many of the unique properties of polymer systems. Recently, there has been interest in characterizing the elastic properties of catenanes, molecular architectures composed of linked molecular rings. To date most studies have focused on the force-extension behavior of polycatenane and catenane dimers. In this study, we employ Monte Carlo computer simulations to investigate the elastic properties of a collection of catenane chains. In addition to polycatenane, we also examine the properties of catenane ribbons constructed by connecting two or three polycatenane chains together with a variable number of side-link rings. After first characterizing the behavior of free polycatenane chains and catenane ribbons, we examine their mechanical response to both an elongational force and a torque applied to the end rings of the chain. We find that the stretching induced by the force is counterbalanced by increasing the torque, which tends to twist the chains and in so doing reduce the extension length. At low torque, the twist angle of the end rings of the chain varies linearly with torque, and the associated torsional spring constant, characterizing the resistance of the chain to twist with the applied torque, tends to increase with stretching force. Relative to polycatenane, ribbons tend to be more elongated at low force and less elongated at strong force. In addition, increasing the ribbon width dramatically increases the torsional stiffness of the chain. Finally, decreasing the degree of side-linking in ribbons tends to decrease slightly the extension length at moderate force and to increase the torsional stiffness for sufficiently large gaps.

Speaker: James Polson

10:45 Polymer dynamical self-consistent field theory in the grand canonical ensemble

The non-equilibrium dynamics of inhomogeneous polymer systems undergoing processes that change the number of polymers is an essential component of many biological systems, such as solvent exchange with an external reservoir or the binding of small molecules to a polymer backbone. Our previous theories were formulated in the canonical ensemble, fixing the number of polymers and limiting our ability to describe grand canonical systems (with variable polymer number) without ad hoc modifications to the dynamical equations. To overcome this limitation, we construct a manifestly grand-canonical theory in the Fock space formalism of quantum field theory. We introduce polymer creation and annihilation operators that act to create or destroy polymer chains in a given configuration, obeying bosonic commutation relations. The microscopic dynamics of interacting polymer systems are reformulated as an operator theory capable of naturally describing processes that change polymer number. We introduce bosonic coherent states to convert the operator theory to a field theoretic representation in terms of a complex single chain propagator. In the saddle-point approximation, we obtain a Smoluchowski equation describing the mean-field dynamics of the propagator. The power of this formalism is that chemical reactions between polymer species can be easily constructed in the operator theory, and we can systematically derive the corresponding terms in the mean-field Smoluchowski equation, which is the central equation of the theory. We demonstrate the formalism by showing that a pair of spatially localized reactions that create and destroy chains on the system boundary can be used to model the exchange of chains with an external reservoir, leading to boundary conditions that we had previously imposed ad hoc in our canonical theory. The power and flexibility of this theory to describe the dynamics of interacting grand canonical polymer systems makes this a promising approach for quantitative modeling of biological systems.

Speaker: Benjamin Morling (University of Guelph)

11:00 Self-Assembly of Inverted Phases in Diblock Copolymer Blends

Inverted block-copolymer phases reverse the usual curvature rule by forming discrete domains composed of the majority components. These novel structures offer promising applications but often remain unstable in simple block-copolymer melts. The emergence and relative stability of inverted phases in binary AB/CD diblock-copolymer blends are studied using self-consistent field theory. The model combines miscible A/C blocks with selective B–D attraction, enabling co-assembly without macroscopic phase separation. The resulting phase diagram exhibits rich ordered behavior, including stable inverted cylindrical and spherical phases. Their stability is primarily governed by chain-length asymmetry and blend composition. Segment-density profiles reveal a key mechanism: short CD chains locally switch from co-surfactants that tune interfacial curvature to fillers that reinforce the BD matrix and reduce packing frustration. These results establish design rules for engineering inverted nanostructures using block-copolymer blends.

Speaker: Yuhui Yi (McMaster University)

11:15 Solvent processing stable polystyrene glass films

Thin film samples can be highly influenced by interfacial properties and often have strongly depth-dependent properties. This effect can be even stronger in materials or materials produced by additive manufacturing, where the material is deposited sequentially in layers. While studying film-averaged and near-surface measurements can be straightforward, depth-dependent measurements remain a challenge, but are crucial. In this work, we found that with specific conditions, we can remove thin layers of stable polystyrene glass from a film with only a small effect on the remaining material and its stability by a dissolution process. This suggests that the dissolution process in this case is highly localized and introduces a promising candidate for learning about depth-dependent properties of stable polystyrene glasses produced by vapour deposition.

Speaker: Saba Karimi (University of Waterloo)

11:30 Surface properties of stable polystyrene glasses

Stable glasses formed through physical vapour deposition exhibit high surface mobility, allowing for their characteristic efficient packing. In thin films of stable polymer glasses, properties of the surface, such as the roughness and elastic modulus, differ as a function of stability and film thickness. In this work, we investigate the surface properties of varying stable polystyrene glasses using atomic force microscopy and surface-enhanced Raman spectroscopy techniques.

Speaker: Danielle McRae (University of Waterloo)

11:45 Mechanical properties of thin films of ultrastable polymer glass

We use nanoindentation to measure the Young's modulus of thin films of polystyrene stable glass fabricated with the help of physical vapor deposition (PVD). Glasses formed this way exhibit fictive temperatures as low as Tg – 20 K and kinetic stability down to deposition temperatures of ~ 0.84 Tg. The Young's modulus of stable glass films is significantly higher than that of ordinary liquid-cooled glass. The enhancement increases with stability and is as large as 70% greater than the liquid-cooled glass, signifying enhanced packing and mechanical resistance in highly stable films. The observed modulus enhancements are substantially larger than previously reported for organic glasses and are comparable to those measured in certain ultra-aged lunar glasses. Additionally, we studied the mechanical properties of rejuvenated glasses. We systematically measured the Young's modulus of stable glass, as well as partially and fully rejuvenated glass. Partially rejuvenated films show a modulus value intermediate between that of the stable and normal glass. The value of the elastic modulus decreased with an increased percentage of rejuvenation of the film, which is consistent with the front propagation model of rejuvenation. Spatial heterogeneity of the modulus values is investigated and discussed.

Speaker: Mahnoor Mehmood (University of Waterloo, ON, Canada)

10:15 → 12:00 (DNP) M1-5 Hadrons-I | Hadrons-I (DPN)

Convener: Annika Lennarz (TRIUMF)

10:15 From Gluons to Quantum: Toward a Network-of-Networks Vision for the Future of QCD

Quantum Chromodynamics (QCD) governs the structure of visible matter, yet its most pressing challenges, from dense gluonic dynamics to precision descriptions of hadrons and nuclei, increasingly demand coordinated efforts beyond traditional collaborations. The Inter-American Network of Networks of QCD Challenges (I.ANN QCD) connects communities across the Americas to address fundamental questions in strong-interaction physics through a network-of-networks approach.

In this talk, I will highlight scientific themes within I.ANN QCD, including high-density gluon dynamics and ultraperipheral collisions as clean photon-induced probes connected to the future Electron–Ion Collider program. I will also discuss how advances in AI, quantum science, computing, and next-generation detector and accelerator technologies, together with industry partnerships, are creating shared challenges and opportunities across physics, with QCD both driving and benefiting from this broader transformation at the heart of matter.

Speaker: Daniel Tapia Takaki (University of Kansas)

DTT CAP 2026 v4.pdf

DTT CAP 2026 v4.pptx

10:45 Probing Generalized Parton Distributions (GPDs) with the Solenoidal Large Intensity Device (SoLID)

Generalized Parton Distributions (GPDs) have emerged as a powerful framework for exploring the internal structure of hadrons in terms of their partonic constituents. The proposed Solenoidal Large Intensity Device (SoLID) at JLab is well suited to the study of GPDs, with its unique combination of large kinematic coverage and high luminosity ($>10^{37}$/s/cm$^2$) capabilities. The SoLID GPD program is ambitious, including Deeply Virtual Compton Scattering (DVCS) and Deep Exclusive Meson Production (DEMP) with polarized targets, as well as Double DVCS (DDVCS) and Timelike Compton Scattering (TCS) at high luminosity. Together, these will provide a variety of GPD data that are unlikely to be obtained from any other facility. An overview of the proposed GPD program with SoLID will be presented.

Speaker: Garth Huber (University of Regina)

solid_gpd_cap2026_s.pdf

11:15 EXOTIC TWO-PSEUDOSCALAR MESON DECAYS IN GLUEX

Hadronic physics aims to understand the contribution of quarks, gluons, and their internal dynamics in the for- mation of hadrons. Quantum Chromodynamics predicts a number of bound states, including those having an explicit gluonic degree of freedom called hybrids, but only a few have been confirmed experimentally. The GlueX experiment at Jefferson Lab, USA, utilizes a linearly polarized photon beam of 8-9 GeV and a large solid-angle particle detector for hadron spectroscopy. Among the physics goals are the study of the hybrid meson spectrum and the search for mesons with exotic quantum numbers. Recently, the signatures of a predicted exotic isoscalar, η1 has been reported by the BESIII collaboration in the radiative decay of J/ψ → η1γ → ηη′γ. The production of a two pseudoscalar system, ηη′, is also allowed in the photon-induced interaction γp → ηη′p and can be reconstructed with the GlueX spectrom- eter, giving us an excellent opportunity to validate η1’s existence. An analysis of this two-meson system based on a statistics-limited GlueX data set did not provide a conclusive result. Recently, the data set has been increased by a factor of 2-3, which will facilitate this search. Preliminary studies for this channel will be presented.

Speaker: Zisis Papandreou (University of Regina)

CAP 2026 - abstract-2pseudo.pdf

CAP Congress 2026_2pseudo v3.pdf

11:45 Rare eta decay eta->pi+pi-e+e- with the GlueX experiment at Jefferson Lab

For over a century, physicists have developed a detailed framework describing the fundamental particles and their interactions. This framework, called the Standard Model (SM), successfully explains phenomena governed by the electromagnetic, strong, and weak nuclear forces. However, it cannot explain several major mysteries, including dark matter, dark energy, and why the universe does not contain equal parts of matter and antimatter. These gaps motivate the search for new physics beyond the Standard Model through searching for new sources of Charge-Parity (CP) violation.
My research investigates one such path by studying the eta ($\eta$) meson, a short-lived particle created in high-energy collisions, through its rare decay $\eta \rightarrow \pi^+ \pi^- e^+ e^-$. This decay proceeds via a virtual photon, and measuring its polarization allows us to construct an asymmetry factor between the pion and electron decay planes. This becomes an extremely precise test for SM CP-violation that can provide strong evidence for Beyond Standard Model (BSM) theories.
To carry out this work, I will use the newly upgraded GlueX detector at Jefferson Lab in Virginia. This detector can capture and study particles with precision, and it provides an ideal environment to search for effects that may reveal new sources of CP-violation, which is an essential ingredient needed to explain the observed imbalance between matter and antimatter.
Because this decay has a branching fraction at the $10^{-4}$ level, I will generate detailed simulations and compare them with real data to separate signal from background noise. Machine learning tools will play a key role in identifying subtle patterns in the detector and improving particle identification. Techniques, progress in simulation, and data analysis will be shown.

Speaker: Akshay Ramasubramanian (University of Regina)

10:15 → 12:00 (DTP) M1-6 Quantum Field Theory and Holography | Théorie quantique des champs et holographie (DPT)

Convener: Manu Paranjape

10:15 Measuring a bulk's geometry from the outside

In a spacetime with asymptotically anti-de-Sitter boundaries, localized events in the bulk produce characteristic signals at boundary locations that are lightlike from the event. I will describe (thought) experiments that use these signals to measure the geometry and scattering amplitudes of processes happening inside the bulk, and discuss exterior signatures of bulk causality and local dynamics. Based on 2501.13182, 2502.14963.

Speaker: Simon Caron-Huot (McGill University)

Caron-Huot_CAP2026.pdf

10:45 On sufficient conditions for holographic scattering

Holography implies scattering in the bulk can be mediated by entanglement on the boundary. The connected wedge theorem (CWT) of May, Penington, and Sorce is a concrete example where bulk scattering implies correlation between certain boundary regions. However the converse does not hold. We investigate a recent proposal of Leutheusser and Liu for a generalization of the CWT with converse. We prove the forward direction: having pairs of CFT "input" (and likewise "output") regions in a phase with connected entanglement wedge implies that a particular bulk subregion (the intersection of "input" and "output" entanglement wedges) is non-empty. We then establish a modified version of the proposal which has a converse, and identify counter-examples to the stronger conjecture.

Speaker: Chris Waddell (Perimeter Institute)

CAP_2026_Talk.pdf

11:00 Towards a three-dimensional holographic picture of the pion

In light-front holography, the transverse dynamics in the pion is described by the equation for scalar string modes in $AdS_5$ with a quadratic dilaton (soft-wall), resulting in a massless pion. To generate the physical pion mass and describe the low energy pion data, longitudinal dynamics must be considered. In a recent paper, Phys.Rev.D 111 (2025) 3, 034024 we identified a viable scenario in which low-energy pion data favour the weak-coupling limit of the quantum spectral curve of a four-segmented string in $AdS_3$. We now show that this viable scenario maps uniquely onto the same soft-wall $AdS_5$ spacetime that underlies transverse dynamics in light-front holography. The essential difference is that the longitudinal mapping is restricted to the near-boundary region of $AdS_5$, whereas the transverse mapping extends into the bulk geometry. This is a promising step in formulating a 3-dimensional holographic picture of the pion.

Speaker: Prof. Ruben Sandapen (Acadia University)

11:15 The conformally flat limit of quadratic gravity

Quadratic gravity is an attractively simple approach to quantum gravity where terms quadratic in the curvature are included in the action. Almost 50 years ago, Stelle showed the theory to be renormalizable. Avramidi and Barvinsky then showed it to be asymptotically free. However, like other higher derivative theories, quadratic gravity is plagued by classical instabilities and quantum ghosts. In this talk I will explain how these problems are resolved in a certain limit of quadratic gravity, where the only nontrivial degree of freedom is the local scale factor of spacetime. Through a careful covariant quantization, we show that the quantum theory is causal and measurable due to a hidden ghost parity symmetry. This symmetry is revealed by embedding the four-derivative theory in a larger, two-derivative O(1,1) symmetric theory. The result is a UV-complete, non-perturbative formulation of quantum gravity in four dimensions, albeit without gravitons.

Speaker: Neil Turok (University of Edinburgh)

11:45 Understanding RG flows in low dimensional QFT

The behaviour of quantum systems dramatically depends on the energy scale at which they are probed. In Quantum Field Theories this phenomenon is described as a Renormalization Group flow between the UV (low distance) behaviour and the IR (long distances).
Given an quantum field theory in 4 spacetime dimensions, it is often a very hard task the one of identifying what is the low energy dynamics of a given microscopic theory.
With the aim of gaining insights on this problem, in this talk I will present remarkable results that may be obtained by reducing the number of spacetime dimensions to 2. In the case of RG flows triggered by relevant deformation of 2d CFT, constraints from generalized (non-invertible) symmetries as well as from non-local conserved charges are often enough to constraints completely the IR phase. Non invertible symmetries are a generalization of the notion of standard symmetries. They are generated by the set of topological line defects of the theory, and do not form a group, rather a fusion category. A further generalization of topological symmetry may be obtained by considering defects that only commute with the Hamiltonian of the QFT, but not with its Stress Energy tensor, failing to be fully topological, but only translational invariance.
Combining these two powerful tools, we will illustrate how to constraint the RG flows.

Speaker: Federico Ambrosino (Perimeter Institute)

RG_flows_Minimal_Models_CAP-2.pdf

10:15 → 12:00 (PPD) M1-7 Dark Matter | Matière noire (PPD)

Convener: Savino Longo (University of Manitoba)

10:15 Overview of Dark Matter Searches with Argon in Canada

DEAP‑3600, with its 3.3‑tonne liquid argon target, is a dark matter direct‑detection experiment located at SNOLAB in Sudbury, Canada. Detector upgrades have been ongoing since the end of the second fill run in 2020 to reduce backgrounds from shadowed alphas and dust dissolved in the liquid in the just‑started third fill run. We present here the most recent results from the WIMP search, together with the first results from the analysis of the third‑fill data, which will inform both the impact of the detector upgrades on our backgrounds and the design of future noble‑liquid experiments.

Speaker: Michela Lai (Queens University)

10:45 Solar Neutrino Absorption on Argon-40 in DEAP-3600

DEAP-3600 (Dark matter Experiment using Argon Pulseshape discrimination) is currently the largest single-phase argon dark matter detector in the world, housing over three tonnes of liquid argon. This makes it an excellent medium for searching for solar neutrino absorption on argon-40, a process first theoretically predicted in the 1980s. This process can be used for sensitive measurement of neutrino spectra and rates. In this talk, we detail the efforts undertaken by the DEAP collaboration to make the first observation of this interaction in data collected between 2016 and 2020, and present the latest results from this analysis.

Speaker: Michael Perry

11:00 What Neutrinos in Dark Matter Experiments, like DarkSide-20k, Can Tell Us

The Global Argon Dark Matter Collaboration (GADMC), formed to unite liquid argon–based dark matter experiments, is currently constructing its next-generation experiment DarkSide-20k. Located at the Laboratori Nazionali del Gran Sasso (LNGS), DarkSide-20k builds upon the success of previous argon experiments, including its predecessor, DarkSide-50, to continue the search for weakly interacting massive particles (WIMPs). The experiment introduces several new technologies and design improvements to reduce backgrounds and enhance sensitivity.
With its large target mass and advanced instrumentation, DarkSide-20k is expected to probe WIMP–nucleon cross sections below 1×10^(-42) " " 〖"cm" 〗^2 for WIMP masses above 800 MeV. Central to this sensitivity is the use of a dual-phase time projection chamber (TPC), which enables precise reconstruction of particle interactions through the detection of both primary scintillation light and an amplified secondary electroluminescence signal. While this amplification improves sensitivity to low-energy nuclear recoils, it also renders DarkSide-20k sensitive to coherent elastic neutrino nucleus scattering (CEνNS). This sensitivity opens a complementary physics program beyond dark matter searches, including the potential detection of neutrinos from core-collapse supernovae within our galaxy. As such, DarkSide-20k serves not only as a powerful probe of dark matter but also as a novel observatory for low-energy neutrino physics.

Speaker: Ryan Curtis

CAP Congress 2026 (2).pptx

11:15 Nuclear Physics in Liquid Argon with DEAP-3600

With the technical complexity required by ongoing dark matter direct detection experiments, as well as requiring more refined background rejection techniques, some direct detection experiments have the ability to investigate neutrinos as well. One such detector in recent years involves the liquid argon based DEAP-3600 experiment. The detector assembly allows for nearly 3600 kg of liquid argon scintillator to be used for direct detection experiments in the low-background environment 2 km underground at SNOLAB in Sudbury, Canada.

This talk will go over a brief history of the DEAP experiment, discuss basic technical details on the current experimental design, and the data analysis techniques being used for ongoing search efforts utilizing the large detector mass (3.3 tonnes) of DEAP. This will inform a discussion on the most recent results regarding precision measurements of the radioactive properties of $^{39}Ar$ – a measured specific activity of (0.964 ± $0.001_{stat}$ ± $0.024_{sys}$) $\frac{Bq}{kg·atmAr}$ and a half-life of (302 ± $8_{stat}$ ± $6_{sys}$) years. Additionally, the scintillation quenching factor of α-particles in liquid argon will be covered, namely the extrapolation of the quenching factor down to the low energy region of 10 keV. This will be followed by a discussion of the ongoing efforts towards the neutrinoless double electron capture search via $^{36}Ar$ using the DEAP experiment and how these efforts allow for the investigation into the nature of neutrinos.

Speaker: Peter Taylor (Queens University)

CAP2026_SummaryOfDEAP3600.odp

CAP2026_SummaryOfDEAP3600_v3.pdf

11:30 Towards a Low-Mass WIMP Search with the Scintillating Bubble Chamber

The Scintillating Bubble Chamber (SBC) collaboration is combining the well-established technologies of bubble chambers with a liquid-noble scintillating target to develop a detector sensitive to sub-keV nuclear recoils with the goal of a GeV-scale WIMP dark matter search. Bubble chambers provide excellent electron recoil suppression, down to sub-keV thresholds as proven by a prototype xenon bubble chamber (XeBC), while scintillation signals from the liquid noble target facilitate event-by-event energy reconstruction. Two detectors are currently under development: SBC-LAr10 and SBC-SNOLAB. SBC-LAr10, operating in the MINOS tunnel at Fermilab, serves as a platform for detector commissioning, calibration, and engineering studies, with the objective of demonstrating stable operation at thresholds near 100 eV. SBC-SNOLAB is a radiopure replica of SBC-LAr10 designed for deployment at SNOLAB near Sudbury, Ontario, where it will operate in a deep underground, low-background environment. Both detectors employ a xenon-doped liquid argon target instrumented with scintillation, acoustic, and optical imaging readout systems. This talk will present the calibration program performed with SBC-LAr10 and its implications for SBC-SNOLAB, as well as recent progress toward a quasi-background-free WIMP search with SBC-SNOLAB.

Speaker: Gary Sweeney (Queen's University)

CAP_2026_Sweeney.pdf

11:45 Event selection and machine learning reconstruction for the ARGO dark-matter detector

ARGO is a planned large liquid-argon detector for the direct detection of dark matter, using underground argon to reduce intrinsic radioactive backgrounds. A key analysis challenge is to efficiently select nuclear-recoil events from WIMP-like interactions. The analysis focuses on rejecting electronic recoils and surface-alpha backgrounds, while studying neutron-induced nuclear recoils.

This work studies an event-selection strategy for ARGO using simulations. The selection is based on the total detected scintillation light as an energy estimator, pulse-shape discrimination between nuclear and electronic recoils, and three-dimensional position reconstruction to define a fiducial volume inside the detector.

Event position reconstruction is challenging due to the large detector size and the sparse distribution of photon hits. To address this, a machine learning model is trained on simulated ARGO events using the photon charge and timing information. This model reconstructs event positions accurately despite the sparse input, improving the rejection of surface related and external backgrounds.

This work is still in progress, with further developments in the machine-learning reconstruction and event-selection strategy expected to improve performance.

Speaker: Tiana Fandresena Gérald Ramonjison (Simon Fraser University)

10:15 → 12:00 (DPMB) M1-8 Neurotechnologies for Brain Measurement, Mapping, and Intervention | Neurotechnologies pour la mesure, la cartographie et l'intervention cérébrales (DPMB)

Convener: Maria Kilfoil (University of Prince Edward Island / Physics)

10:15 Measuring brain physiology using quantitative functional MRI

Since its discovery by physicists in the early 1990s, functional MRI (fMRI), based on the Blood Oxygenation Level-Dependent or “BOLD” signal, has revolutionized our ability to non-invasively map the functional organization of the brain at high spatial and temporal resolution. The BOLD signal, however, can be challenging to interpret because it is an indirect measure of brain activity that relies on coordinated changes in brain physiology (blood flow, blood volume, and metabolism), which can be altered in neurological and psychiatric disorders, and over the healthy lifespan. This shortcoming, amongst others, has impeded the more widespread adoption of BOLD fMRI in the neurosciences and clinically. To better interpret the BOLD signal, biophysical models that link the BOLD signal to underlying physiology have been developed. In this talk, I will summarize recent developments and my lab's work developing and applying such models using numerical simulations of the vasculature and analytical descriptions of the BOLD signal. These have allowed us to extract detailed physiological information, which is quantitative and interpretable, from functional MRI, thereby providing valuable insights into healthy and diseased brain function.

Speaker: Avery Berman (Carleton Univ. Dept. of Physics, and Royal Ottawa Institute of Mental Health Research)

10:45 Hyperspectral Time-Resolved Near-Infrared Spectrometer for In-Vivo Adult Neuromonitoring

Hyperspectral time-resolved (hTR) near-infrared spectroscopy (NIRS) is an advanced analytical technique that provides high-resolution spectral measurements across hundreds of wavelengths, offering improved depth sensitivity compared to conventional continuous-wave (CW) systems. In clinical settings, this technique could enable real-time identification of adverse changes in cerebral blood oxygenation and metabolism; however, designing a system for in-vivo monitoring is challenging due to trade-offs between spectral range, spectral resolution, and acquisition time. We have pioneered an approach that harnesses compressive sensing and highly parallelized time-correlated single-photon counting (TCSPC) to reduce the acquisition time for a 256-point TR spectrum to <6 seconds. Here, we assess the depth sensitivity of our device in phantoms and present in-vivo results tracking the cerebral hemodynamic response to a hypercapnia challenge in healthy adult humans.

The hTR-NIRS device pairs an illumination architecture that implements the compressive sensing acquisition scheme and a SPAD array with 64 TCSPC-enabled pixels for detection. Two-layer tissue-mimicking phantom experiments were performed, where the top layer (10-mm-thick) remained static while the bottom layer’s blood oxygenation and metabolism were altered. hTR-NIRS probes were placed on the surface of the top layer, while CW-NIRS probes were placed on both the top and bottom layers for validation. A hypercapnia challenge (10 mmHg above normocapnia for 6 minutes) was performed with 5 healthy adults using a computer-controlled gas delivery circuit, with hTR and CW-NIRS probes fixed to the left side of each subject’s forehead. The phantom results demonstrate that hTR-NIRS reduces surface contamination by more than 50% compared to CW-NIRS and can successfully track changes in blood oxygenation and metabolism beneath a 10-mm-thick static top layer. The in-vivo results validate the capability of our system to track the dynamic cerebral hemodynamic response typical of hypercapnia. Future work will increase the sample size and monitor cerebral metabolism changes in-vivo during functional activation.

Speaker: Mamadou Diop (Western University)

11:00 Development and Application of an MRI-Compatible Robotic Injection System for Precise 1.5T MRI-Guided Glioma Modeling and Cell Therapy

Precise intracranial cell delivery is essential for establishing reproducible glioma models, yet conventional manual stereotaxis lacks operational stability and real-time imaging guidance within the Magnetic Resonance Imaging (MRI) environment. This project aims to implement a precise modeling workflow using a dedicated MRI-compatible robotic injection system under 1.5T MRI guidance. The hardware platform integrates a non-metallic robotic manipulator with a specialized injection device, optimized for high-resolution imaging within the confined bore（30cm）. To ensure superior signal-to-noise ratio and animal stability during the procedure, a dedicated small-animal wireless radio-frequency (RF) coil and a gas anesthesia system were incorporated. Under real-time 1.5T MRI monitoring, the system facilitated precise intracranial puncture and cell delivery. Preliminary work has completed three injection trials, with the final subject successfully demonstrating tumor induction as confirmed by follow-up imaging. Next steps include leveraging this robotic platform to explore and evaluate diverse cell-based therapeutic strategies, such as stem cell transplantation and targeted drug delivery, to further assess treatment efficacy in preclinical models.

Speaker: Yuxuan Wang (THE University of Winnipeg)

11:15 Level-Set Driven 3D Reconstruction of Serial Marmoset Brain Sections

Whole Slide Imaging (WSI) has become a crucial modality in modern histopathology, enabling the digital conversion of tissue on glass slides into high-resolution virtual slides. WSI supports the reconstruction of three-dimensional (3D) volumes from serial histological sections, providing new opportunities to study the microstructural organization of complex tissues. However, 3D reconstruction from serial WSI is challenged by structural artifacts introduced during tissue preparation and imaging. These inconsistencies can accumulate across sections, degrading volumetric integrity. The level-set method (LSM) is a numerical technique that embeds surface information into a signed distance function to capture complex geometric and topological changes. The proposed workflow mitigates residual distortions by integrating LSM into the non-linear stage of an established pipeline.

This study utilized in-vivo MRI and histological data from a single adult female marmoset brain. A T1-weighted anatomical scan was acquired at 300 μm isotropic resolution. Following imaging, the brain was cryosectioned coronally at 20 μm thickness, and sections were co-stained with Hoechst 33342 and Myelin Basic Protein. All image registrations were performed using Advanced Normalization Tools (ANTs). The MRI volume was rigidly and affinely registered to the blockface volume to align with the histological cutting plane. Blockface images were aligned using a four-step coarse-to-fine framework consisting of pairwise, sequential, and high-pass filtered transformations to preserve global shape while improving local slice-to-slice alignment. Histological sections were reconstructed using the blockface volume as reference. A final deformable non-linear registration step corrected localized distortions using level-set maps generated from segmented white and gray matter.

The coarse-to-fine reconstruction achieved an NMI of 0.4470 and SSIM of 0.8022. The reference reconstruction pipeline achieved an NMI of 0.4617 and SSIM of 0.8030. The proposed method achieved an NMI of 0.4946 and SSIM of 0.8297, demonstrating improved inter-modality alignment and structural consistency. This framework addresses spatial information loss introduced during histological processing by providing a flexible, structurally guided approach for 3D reconstruction.

Speaker: Emily DeLeon (McMaster University)

11:30 (WITHDRAWN) Developing Intelligent Brain-Machine Interfaces: A Bio-camouflage for Neural Probes

New developments in neuroscience have driven rapid advancements in implantable devices at the brain-machine interface for both research and clinical applications. One such device is the Neuropixels probe, used currently in research and pre-clinical testing, which collects high-density, time-resolved neural impedance recordings across multiple brain regions. However, these implants are limited by biocompatibility mismatches at the machine-tissue interface. The long-term implantation of these devices elicits the host's immune response to reject the foreign object, leading to glial scarring and signal degradation. We investigate a highly tunable biomimetic interface approach through layer-by-layer (LBL) charged polymer method of assembly. In collaboration with the Montreal Neurological Institute, we are developing a naturally derived polycation, known as DPGA which promotes favorable neuron–surface interactions by bio-camouflaging the implant surface. Due to the optical transparency of the molecular layers, a key challenge is the direct characterization of the coating on the probe. To address this, we are developing a surrogate technique, based on biocompatible dyes, to characterize the presence of the bio-camouflage while retaining the electrical integrity Neuropixels probe. Optical spectroscopy and ellipsometry are used to assess film thickness, packing density, and uniformity. Dye-uptake measurements show increase in uptake capacity with 8 bilayer films showing approximately sevenfold higher maximum absorbance than single bilayer films; And a reduction in dye uptake kinetics were increasing the number of bilayers from 1 to 8 reduces the effective uptake rate constant (k)by two orders of magnitude, from 〖~10〗^(-2 ) s^(-1 ) to 〖~10〗^(-4) s^(-1). In vitro cell studies are also discussed to evaluate biological responses to the bio-camouflage. Results suggest an optimal threshold of approximately four bilayers under physiological conditions. Beyond this threshold, increased coating thickness is associated with reduced cell adhesion. Finally, impedance and SNR measurements are being investigated to test bio-camouflaging effects on the electrical performance of the probe.

Speaker: Mahta Morad

Developing Intelligent Brain good copy.docx

11:45 Estimation of the physical characteristics of an external hardware attenuator in pure PET systems in sinogram space

Purpose: Nuclear medicine is a functional imaging technique. It uses a radiotracer injected into an organism to map its displacement, through the emission and the annihilation of a positron. It doesn’t give information on anatomical features. When an external hardware is used, such as a coil in a PET/MRI system, attenuation will impact the resulting image. A classical solution in the context of PET/MRI is to bring the external hardware to a CT system, to obtain an attenuation map: the main limitations of this approach are the requirement of that second imaging modality, as well as the inherent extrapolation from the CT energies (70-140 keV) to the PET energies (511 keV). The approach presented here relies entirely on a PET acquisition, circumventing the need for another imaging technique as well as the extrapolation.

Method: Using a germanium MR-compatible phantom, two PET acquisitions are obtained, one with a cylindrical aqueous external attenuator and one without it. By comparing their sinogram, it is possible to extract a track or an eclipse caused by the external hardware, corresponding to the lines of incidence affected by the hardware. This approach is methodologically simple and easily reproducible.

Results: Looking only at the ratio of the sinograms, it was possible to determine accurately the distance of the external hardware and of its radius. The results were compared with physical measurements and MRI acquisitions done at the same time as the PET acquisition. All the measured and determined values are in statistical agreement.

Future Work: Future works include an analysis of more complex structures, especially those with many attenuators. Other enquiries of interest include the exact position in Cartesian space, as well as the use of non-convex shapes.

Speaker: Philippe Laporte

CAP 2026.pdf

10:15 → 12:00 (DCMMP) M1-9 Hard Matter 1: Materials | Matière dure 1 : Matériaux (DPMCM)

Convener: Rachel Wortis

10:15 Collective mode spectroscopy in rhombohedral graphene superconductors

In superconductors with multiple pairing channels, collective excitations known as "clapping modes" can arise in channels whose angular momenta differ from that of the pair condensate. Crystal symmetries often impose selection rules which keep these modes optically dark. We show that if pairing occurs around a single Fermi surface, trigonal warping renders clapping modes visible in the longitudinal and Hall optical responses. Our results suggest that rhombohedral graphene multilayers, which are believed to host the required ingredients, might offer an ideal setting for the study of exotic superconducting collective modes.

Speaker: Étienne Lantagne-Hurtubise (Université de Sherbrooke)

10:30 Metrology for solution processable 2D materials

The isolation of graphene with its remarkable electronic, optical, mechanical and chemical properties has led to the emergence of a range of two-dimensional (2D) materials with unique properties. A variety of metallic, semiconducting and insulating 2D materials have been discovered and are being explored for a diverse range of applications. Many of these materials can be produced at high quality on the wafer scale by chemical vapour deposition on appropriate substrates. However, many of the envisaged applications (i.e. printed/flexible electronics, energy storage, photovoltaics, polymer composites, etc.) require single or few layer flakes of a 2D material that can be dispersed in solution to facilitate deposition onto a substrate, formulation of an ink and/or mixing into a composite. Powders and dispersions containing 2D material flakes are now becoming commercially available although material quality is highly variable, hindering the development of applications. This has highlighted the need for the development of standardized protocols for assessment of these materials.
In this presentation we will describe ongoing work at the NRC aimed at developing characterization methods and standard protocols to characterize powders, suspensions and inks containing 2D materials such as graphene, graphene oxide (GO) and transition metal dichalcogenides (TMDs). We employ a variety of experimental techniques including scanned probe microscopies (AFM and STM), vibrational spectroscopies (Raman and FTIR), X-ray diffraction, X-ray photoelectron spectroscopy and dynamic light scattering in order to characterize the structure and chemical composition of in-house and commercially available materials. Conductivity and work function of ultrathin films produced from various 2D material containing dispersions are also being measured.

Speaker: Greg Lopinski (Metrology Research Center, National Research Council, Ottawa)

10:45 Energy- and electronic-grade synthetic functional carbon materials from waste cigarette filters.

Graphite, a stable allotrope of carbon, boasts unique properties including high electrical conductivity, and excellent thermal and chemical stability. Currently, the demand for graphite in both research and development is rapidly increasing. Despite the abundance of high quality of natural graphite, synthetic graphite remains attractive due to scalable production, controlled property tuning, sustainability and suitability for emerging energy and electronic applications. Its synthesis typically involves thermal treatment of carbonaceous materials such as petroleum coke, coal tar pitch, or polymer-derived carbons. We present the synthesis of high-quality graphite on nickel foils using a carbon rich product derived from hydrothermal carbonization (HTC) of waste cigarettes filters. The HTC of cigarette filters yields CSs with functional properties in energy and are also well suited as precursors for subsequent graphitization. X-ray diffraction (XRD) shows a broad diffraction peak at 23° corresponding to the (002) plane, which is characteristic of largely amorphous carbons and turbostratic graphite packing. Scanning electron microscopy (SEM) reveals the spherical morphology of the products, with a mean diameter of 6.2 μm. The corresponding energy-dispersive X-ray spectroscopy (EDS) elemental maps of carbon and oxygen indicate that the CSs contains 74 wt.% carbon and 26 wt.% oxygen. Fourier Transform Infrared spectroscopy (FTIR) further reveal that oxygen species on the CSs exist as C–OH, COOH, and C=O functional groups bound to the carbon framework. The functional properties of these CSs will be tested in capacitors, batteries, and hydrovoltaics. Furthermore, the CSs will be converted into epitaxial graphite following an isothermal dissolution-diffusion-precipitation (IDDP) process using single crystal nickel foils. The graphite will be exfoliated into graphene, and the functional properties of the resulting graphene will be tested in twisted bilayer graphene superconductors, field-effect transistors, and sensors. The conversion of cigarette filters into energy- and electronic-grade synthetic functional carbon materials provides a scalable and sustainable route to high-performance materials while mitigating a major environmental pollutant.

Speaker: Methembe Moyo (Concordia University)

Energy and electronic grade synthetic functional carbon materials from waste cigarette filters.docx

11:00 Disorder Resilient Entanglement in the Rare-Earth Dimer Magnet BiYbGeO₅

In the search for exotic entangled states in quantum magnets, understanding how disorder affects the stability and properties of quantum ground states remains an open problem. Quantum dimer magnets, where neighboring spins form entangled singlet pairs, provide a particularly clean platform for addressing this question.
Our study centers on the rare-earth dimer magnet BiYbGeO₅, previously identified by Mohanty et al. using heat capacity, magnetometry, and muon-spin relaxation as only the second known rare-earth–based quantum dimer system. BiYbGeO₅ consists of quasi-two-dimensional layers of magnetic, effective spin-1/2 Yb³⁺ ions that form entangled dimers.
Using neutron diffraction, we uncover an unexpectedly large degree of intrinsic disorder: approximately 20% of the magnetic Yb sites are occupied by non-magnetic Bi ions. Remarkably, despite this large level of disorder, our inelastic neutron scattering measurements reveal sharp, well-defined triplet excitations characteristic of a dimerized ground state. These excitations are remarkably robust, persisting to temperatures well above 10 K and occurring at energies (~0.15 meV) consistent with those predicted by Mohanty et al.
I will present these results on BiYbGeO₅, along with initial measurements on the related compounds BiErGeO₅ and BiDyGeO₅, which display starkly different disorder trends. Together, our findings demonstrate that quantum dimer ground states can remain intact even in the presence of substantial structural randomness. More broadly, they challenge the prevailing assumption that strong disorder necessarily destroys fragile, entangled phases. Combined with the natural glass-forming tendency of the Bi–Ge–O system, this work opens the door to exploring a largely unexplored regime: the survival of quantum entanglement in an amorphous solid.

Speaker: Gavin Hester (Brock University)

11:15 Resonant X-ray Reflectometry of a Mn3Ge-based Quantum Heterostructure

Topological materials offer many interesting quantum phenomena such as anomalous Hall effect(AHE), topological Hall effect (THE), quantum spin liquid state, and skyrmion lattice. Among thesematerials, Mn3+xGe is one of the interesting materials as it has a triangular spin-lattice in the kagomenetwork. Due to this arrangement, collinear antiferromagnetic (AFM) alignment is impossible whichcreates frustration in the spin system. To minimize energy while stabilizing the frustations, the Mn spins adopt a 120˚ non-collinear AFM structure instead of collinear AFM. This spin orientation breaksthe inversion symmetry locally and produces quantum mechanical effects like AHE, THE, etc.
In this present work, we systematically studied the electronic, and magnetic properties and exchange coupling between Mn3Ge, and ferromagnetic Fe layered in a quantum heterostructure. For this, depth resolved elemental and magnetic density profiles of the system were obtained by fitting the simulated data with the experimental data measured using Resonant X-ray reflectometry (RXR) at RSXS endstation of the REIXS beamline in the Canadian Light Source. These structural and magnetic density profiles gave a better visualization of the sample as well as important information about how magnetization affects the non-collinear AFM Mn3Ge and ferromagnetic Fe layer in the system and atthe interface. This research enabled us to enhance our understanding of advanced materials in spintronic device functions and contribute to new developments in electronics and magnetic technology. In addition, it highlights Resonant X-ray reflectometry as a powerful, non-destructive, and emerging technique for novel and advanced materials.

Speaker: Ms Meemansha Bahuguna (University of Saskatchewan)

11:30 Visualizing Moiré Patterns and Lattice Reconstruction in Twisted Multilayer Graphene with Scanning Tunnelling Microscopy

Recent studies have proposed devices consisting of multiple graphene layers with near magic-angle twists as a promising platform for experimentally realizing correlated topological states. In such systems, moiré superlattices originating from consecutive layers are expected to experience lattice relaxation that significantly modifies the electronic band structure of the device.
Here we present our progress in characterizing structural and electronic properties of a twisted multilayer graphene device using scanning probe microscopy, that provide insight into how lattice relaxation modifies electronic band structure.

Speaker: Xue-Ying LiYang

11:45 Investigation of the role of Microstructural Refinement on Hydrogen Storage behavior of the γ-Mg17Al12 Intermetallic

Large-scale use of hydrogen is limited by storage and transport constraints due to its very low volumetric density as a diatomic gas at ambient conditions. Compression and cryogenic liquefaction increase density, but liquefaction requires cooling to ~20 K, consumes a notable fraction of the energy content, and is prone to boil-off and leakage. Metal hydrides offer solid-state storage by allowing hydrogen to diffuse into metal lattices, occupy interstitial sites or induce phase changes, and form a hydride via a solid–gas reaction
Magnesium-based hydrides offer high gravimetric hydrogen capacity, but their practical deployment is limited by slow sorption kinetics and high operating temperatures. In this work, we investigated the hydrogen storage performance of Mg-based materials by forming Mg–Al intermetallics and refining the microstructure.
Hydrogenation at 350°C and 50 bars using a homemade Sievert apparatus produced a hydride with a hydrogen capacity of 2.97 wt%. X-ray diffraction after hydrogenation confirmed the formation of MgH2 and the Mg2Al3 intermetallic phase. To introduce additional lattice defects and reduce kinetic barriers, β-Mg₁₇Al₁₂ was further processed by ball milling.
After 15 min of ball milling, the crystallite size decreased from 26.0 ± 0.5 nm to 11.7 ± 0.3 nm. Hydrogen absorption kinetics were accelerated after ball milling, and analysis of the kinetic data yielded a lower apparent hydrogenation activation energy, consistent with increased fresh surfaces as pathways for hydrogen atoms to diffuse. On the other hand, we observed that the absorbed hydrogen content of the ball-milled material, increased from 3.72 wt% in the first absorption cycle to 4.2 wt% in the second cycle. In addition, DSC results for ball-milled samples showed a decrease in desorption temperature. These results underscore the critical influence of mechanical processing on hydrogen storage performance.

Speaker: Sibriyana Antanessian

Sibriyana Antanessian.pptm

12:00 → 13:30 Break for Lunch (12h00-13h30) | Pause pour dîner (12h00-13h30)

Tickets must have been pre-purchased

12:00 → 13:30 Special Session - Nuclear Weapons Threat Reduction | Session extraordinaire - Réduction de la menace des armes nucléaires

The Canadian Association of Physicists has partnered with the Physicists Coalition for Nuclear Threat Reduction to organize a discussion on how physicists can help reduce the threat of nuclear weapons. The Physicists Coalition was founded in 2019 with the support from the American Physical Society Innovation Fund and the Carnegie Corporation. This session is divided into three topics with speakers presenting on a range of issues including the current status of nuclear weapons worldwide, the Golden Dome strategic missile defense system being advanced by the United States, the technical aspects of nuclear stewardship and verification, and the current state of advocacy. This will be followed by a Q&A.

Topic 1: The Increasing Nuclear Danger
Stewart Prager, Program on Science and Global Security (Princeton University) and Physicists Coalition for Nuclear Threat Reduction

Topic 2: The Golden Dome: Technical and Policy Aspects
Walter Dorn, Defense Studies (Royal Military College of Canada)
Igor Morić, Program on Science and Global Security (Princeton University).

Topic 3: Physicists and Nuclear Weapons: How we can help reduce the threat
Talia Weiss, Ph.D. student, and creator of the Yale Kimball Smith Series. (Yale University)

Convener: Wendy Taylor (York University (CA))

12:00 The Increasing Peril of Nuclear Weapons

The distribution of about 12,000 nuclear weapons possessed by nine nations around the globe subject people of all nations to great danger. At all times, about 2,000 weapons are on alert status, capable of delivering civilization-ending physical power within minutes of receiving an order from a national leader. Beyond direct effects of a nuclear detonation, such as the blast wave, indirect effects such as global climate alteration and breakdown of systems to deliver necessities for life can be eveb greater than the already disastrous direct effects. Today, the danger from nuclear weapons is growing as arms-control treaties are abandoned, as states with such weapons are engaged in conventional war, as new risks emerge from cyber attacks, as nuclear threats from leaders are issued more regularly, and as the US and other states massively modernize their entire nuclear weapon systems. But, this problem can be solved. All nations of the world, except for nine, have by treaty foresworn the possession of nuclear weapons. Numerous changes to nuclear policy and forces can be enacted to reverse the danger. Physicists, because of their special relationship to nuclear weapons and the weight given by the public to their views on this issue, can be a vital part of the solution. To this end, the Physicists Coalition for Nuclear Threat Reduction was formed to facilitate physicist contributions to nuclear arms control and disarmament education and advocacy.

Speaker: Stewart Prager

12:15 The Golden Dome: Technical and Policy Aspects

The US Golden Dome initiative, announced by President Donald Trump in 2025, envisages a multilayer defence system to destroy ballistic, hypersonic and cruise missiles and possibly even drones. The prospect of a “defensive shield” has appeal in some quarters, but its effectiveness can easily be questioned, especially when one considers the countermeasures like larger attacks and decoys. In some scenarios, the envisaged system could possibly help prevent missiles from reaching America, including missiles launched by accident or miscalculation. However, the system will almost certainly cause an arms race and create international instability. The system could more easily be used for offense and intimidation. It would weaponize outer space, causing new and advanced weapons system to orbit above most nations. Also, it will divert an enormous level of funds from other programmes, military and civilian. Canada refused to participate in similar US initiatives in the past (Strategic Defense Initiative aka “Star Wars” in 1985 and Ballistic Missile Defense in 1995) and has yet to determine what role, if any, it will have in Golden Dome. So public and parliamentary debate is urgently needed to consider the pros and cons of participation. This presentation presents some of the facts and physics, as well as the implications for international security of the system as proposed and under development.

Speaker: Walter Dorn (Royal Military College & Canadian Forces College)

12:30 Golden Dome: Facts and Fiction

The Golden Dome promises to protect the United States against ballistic, hypersonic, and cruise missile attack, regardless of where they are launched or by whom, presenting national missile defense as a technological answer to the nuclear danger. This talk examines the gap between the political vision of Golden Dome and the technical, economic, and strategic realities of missile defense. An invincible shield that can protect the United States from nuclear war just as a “roof protects a family from rain,” is a captivating idea that survives despite many past failures. The pursuit of the United States of missile defense against nuclear weapons for over 80 years has produced no useful defense. This time is no different: space-based ballistic missile defense as envisioned by Golden Dome will not work because of well-understood technological and physical constraints. Even if deployed at enormous expense, such a system would remain vulnerable to countermeasures and salvo attacks, accelerating a nuclear arms race and eroding nuclear stability because of offense-defense cost imbalances. The result would be a highly complex and costly architecture with limited practical effectiveness. And while some degree of leakage may be tolerable in defending against conventional attack, in the case of a nuclear attack any leakage would have catastrophic consequences.

Speaker: Igor Morić (Princeton University)

12:45 Physicists and Nuclear Weapons: How We Can Help Reduce the Threat

Canadian physicists have a stake in nuclear threat reduction. Canadian scientists supplied uranium and researched plutonium production for the Manhattan Project. Hundreds of US nuclear weapons were stationed in Canada from 1950 to 1984. Today, Canada remains embedded in the US nuclear alliance through NORAD and NATO, and would suffer severe consequences in a nuclear exchange. At the same time, physicists have a strong record of influencing nuclear policy. Key examples include: The Pugwash Conferences, which have shaped arms control agreements; the Bulletin of the Atomic Scientists, which has informed public debate; and the work of physicists like Niels Bohr, Albert Einstein, Hans Bethe, and Enrico Fermi.

This talk will suggest policies that might matter to Canadian physicists, such as opposing Canadian participation in the Golden Dome project, engaging with the Treaty on the Prohibition of Nuclear Weapons, and resisting any consideration of Canadian nuclear weapons development. In this talk, I will also describe actions that Canadian physicists can take, in cooperation with the Physicists Coalition for Nuclear Threat Reduction. These include: Education through colloquia and webinars; joint US-Canadian advocacy (building on the Coalition’s DC engagement, but tailored to the Canadian context); and conducting research through the Coalition’s Next-Generation Fellowship. The Pugwash movement, including Pugwash Canada, provides further opportunities to reduce nuclear threats, with a focus on science diplomacy between countries with tense relations. Canadian scientists played a formative role in Student/Young Pugwash, which remains active today.

Speaker: Talia Weiss

13:30 → 14:00 M-MEDAL1 Achievement Medalist Talk | Conférence du lauréat de la médaille de carrière - Bruce Gaulin, McMaster U.

Convener: Graeme Luke (McMaster University)

13:30 Quantum Disordered Ground States in New Materials: Spin Liquids and Spin Ices as Viewed by Neutron Scattering

A recurring theme in contemporary quantum materials physics is the understanding of new quantum magnets which display novel disordered ground states due to geometric frustration, quantum fluctuations or both. Neutron scattering, arguably the most powerful probe of magnetism in solids, has a proud Canadian history. Modern neutron sources and instrumentation have given us unprecedented capabilities to study weaker, more diffuse signals in new quantum materials. I will review how these developments came to be, and how modern neutron techniques are well suited for my group’s focus: elucidating quantum disordered ground states and their exotic excitations in new materials.

Speaker: Bruce D Gaulin (McMaster University)

14:00 → 14:15 Travel Time | Déplacement

14:15 → 15:45 (DAPI) M2-1 Advances in Measurement, Sensing, and Applied Technologies | Progrès en matière de mesure, de détection et de technologies appliquées (DPAI)

Convener: Steffon Luoma

14:15 Introduction to and Canadian participation in IEC/ISO Joint Technical Committee 3 – Quantum Technologies

Both measurement standards and documentary standards, are key enablers of the commercialization of emerging technologies. As quantum continues its accelerating delivery of real-world solutions, it is a key time for the development of standards to validate these technologies and to set performance and interoperability criteria.

In recognition of the importance and timeliness of quantum technologies, IEC and ISO launched a new joint technical committee on the subject in January of 2024. Over the last two years JTC 3 has formed a number of work groups to cover the application areas of quantum computers, sensors, communications as well as terminology, random number generation and enabling technologies.

This presentation will provide an overview of the emerging structure of JTC 3 and the standardization projects which have been recently launched. It will also provide a summary of Canada’s participation to-date in the joint technical committee, and areas where more Canadian expertise would be beneficial. Through this presentation we hope to raise awareness and interest in this important standardization work and to increase membership and participation of Canadian technical experts in IEC/ISO JTC 3 Quantum Technologies through the Canadian Mirror Committee.

Speaker: Kevin Thomson (National Research Council Canada)

14:30 The Metre Convention – 150 years (and counting) of confidence in measurement

It is impossible to find a physics specialty that does not rely on accurate measurements, and confidence in any single measurement is based on the International System of units, the SI, which defines all the fundamental and derived measurement quantities required for science and engineering in the 21st Century. In parallel, there is a legal framework for international metrology, the Metre Convention, which lays out how measurements at different times and in different locations can be appropriately linked. 2025 marked the 150th anniversary of the signing of the Metre Convention, the creation of the Bureau International des Poids et Mesures (BIPM) and the beginning of the modern metrology era. Canada became a member state of the convention on June 15th 1907 and the National Research Council in Ottawa is responsible for ensuring that Canada continues to be aligned, scientifically and legally, with the Metre Convention and the International System of units.

When one considers measurements in any specialty, it is easy to focus only of one or two key units, whether it is kilogram and second for particle physics, or the coulomb and kelvin for condensed matter studies. But taking into account everything that goes into an experiment: from sample preparation to the dependencies of the measurement method, it becomes apparent that the complete SI (base and derived units) is likely represented:
second – controlling experimental acquisition times, determining particle velocities;
metre – positioning of equipment, characterizing optical path lengths;
ampere – power requirements, HV supplies, measurement of single electrons in quantum devices;
kelvin – environmental considerations, cryogenics, thermodynamics;
kilogram – weight limits for laboratory design, sample preparation;
mole – chemical analysis (even physicists have to do a little chemistry!);
candela – luminance characteristics of imaging displays and light sources.

This presentation will explore the history of international metrology and how it impacts measurements today. It will describe the activities of the Metrology Research Centre at the NRC – Canada’s National Metrology Institute - and how it is adapting to new challenges facing science, technology, and society in Canada as we move into the next 150 years of the Metre Convention.

Speaker: Malcolm McEwen (National Research Council Canada)

15:00 Optical imaging and sensing for automotive safety and autonomy

This presentation will review current and emerging sensing modalities for automotive safety and autonomy. Two main silicon-based sensing technologies will be described: (1) High-dynamic-range (HDR, up to 140 dB) CMOS image sensors (CIS) and (2) Single-photon avalanche diode (SPAD) arrays with >30 % photon detection efficiency (PDE).
Firstly, HDR CIS concepts will be reviewed including control of direct sunlight and bright headlamps. Light flicker mitigation (LFM) and motion artifact compensation requirements will be contrasted with typical HDR CIS design tradeoffs related to secondary sub-pixels (~500 nm pitch) and/or short exposures (<0.1 ms).
Secondly, SPAD arrays for use in direct time-of-flight (dToF) light detection and ranging (LiDAR) will be described. Both short-range (< 50 m) flash LiDAR and long-range (100 m to 300 m) scanning LiDAR approaches will be discussed.
Finally, novel SPAD-based HDR stop-motion sensors with capabilities for both imaging and depth sensing will be presented.

Speaker: Dr James Mihaychuk (Sony Semiconductor Solutions)

15:30 Numerical Simulation of Wetland Groundwater Hydrodynamics Using a Three-Dimensional MODFLOW Model

Wetlands are ecologically sensitive environments where groundwater plays a vital role in sustaining hydrological balance, water quality, and ecosystem functions. Characterizing groundwater flow in wetland aquifers is challenging due to heterogeneous lithology, fluctuating water levels, and variable hydraulic properties. This study investigates groundwater flow dynamics within a wetland system covering Aviara, Uzere, Ibedeni, and Aboh in Delta State, Nigeria using a three-dimensional numerical modeling approach. A conceptual hydrogeologic model was developed from lithologic logs, hydraulic parameters, and measured groundwater levels. The model domain was discretized into multiple layers to represent vertical and lateral variations in aquifer geometry, and boundary conditions were defined to simulate natural recharge and discharge processes. Steady-state groundwater flow simulations were conducted using the MODFLOW code to evaluate hydraulic head distribution and groundwater flow paths. Results show that groundwater predominantly flows from high-head recharge areas toward lower-head wetland zones, particularly toward Wells 5–9, 1–4, and 12. Simulated groundwater flow rates range from −0.0064 m/day to 0.00692 m/day. Regional flow directions are mainly from Aviara toward Idheze and from Uzere toward Aboh, while localized flow reversals occur between Idheze–Ivrogbo and Aboh–Ibedeni. These patterns highlight significant spatial variability in groundwater movement and enable effective delineation of recharge and discharge zones within the wetland aquifer system. Overall, the study demonstrates the applicability of three-dimensional MODFLOW modeling for characterizing complex wetland hydrogeology and provides a scientific framework to support sustainable groundwater and wetland resource management.

Speaker: Prof. Merrious Oviri Ofomola (DELTA STATE UNIVERSITY ABRAKA, NIGERIA)

Otheremu et al. Abstract.docx

14:15 → 15:45 (PPD) M2-10 Colliders | Collisionneurs (PPD)

Convener: Maximilian J Swiatlowski (TRIUMF (CA))

14:15 Standard Model, Higgs and di-Higgs precision physics with ATLAS at the LHC

Precision measurements of W, Z and Higgs boson production are presented. Such measurements are powerful probes of the electroweak sector of the Standard Model as well as proton structure. First, the new results from ATLAS that include the world first measurements of the complete set of angular coefficients and full phase-space differential cross-sections of W boson production is summarized. The measurements use low pileup data which allow an optimised reconstruction of the W boson transverse momentum. Then, this talk presents precise measurements of Higgs boson production and decay rates, obtained using the full Run 2 and partial Run 3 pp collision dataset collected by the ATLAS experiment at 13 TeV and 13.6 TeV. These include total and fiducial cross-sections for the main Higgs boson processes as well as branching ratios into final states with bosons and fermions. Differential cross-sections in a variety of observables are also reported, as well as a fine-grained description of the Higgs boson production kinematics within the Simplified Template Cross-section (STXS) framework.

Speaker: Matthew Basso (TRIUMF (CA))

Standard Model, Higgs, and di-Higgs precision physics with ATLAS at the LHC.pdf

14:45 What can collider experiments tell us about axions in multi-Higgs models

The QCD axion has long been considered to provide a natural solution to the strong CP problem. One of the two main classes of models that give rise to an axion is the Dine-Fischler-Srednicki-Zhitnitsky (DFSZ) model, which contains two Higgs doublets and a singlet complex scalar field. Generally, the LHC does not conduct searches for the QCD axion, whereas experiments at the LHC are very important for two-Higgs doublet model searches. We explore the collider phenomenology of multi-Higgs models with an axion.

Speaker: Srobona Basak (Carleton University)

Slides.pdf

15:00 A dark matter search with the ATLAS detector for an emerging jet signature

The nature of dark matter and its properties remains one of the most important open questions in modern physics. Under a theorized analogue of Standard Model QCD, high energy proton-proton collisions at the LHC could produce a unique signature consisting of two beams or ‘jets’ of Standard Model particles, and two composed of dark matter. The dark matter particles would then decay back into SM particles over macroscopic distances within the ATLAS detector. These dark matter collimated beams are referred to as emerging jets as the visible SM components would ‘emerge’ throughout the detector components. The detection of emerging jets would provide evidence of particle dark matter created at the LHC and open up new strategies to investigate this phenomenon.

Using √s = 13 TeV proton-proton collision ATLAS data recorded from 2015 to 2018, the results of a search for emerging jets will be presented. The theoretical motivations, analysis strategies, and search results will be discussed. Although the presence of emerging jets was not detected, new limits on the possible parameter space were set, excluding many models.

Speaker: Jérémie LePage-Bourbonnais (Carleton University)

CAP Congress 2026.pdf

15:15 Non-thermal Leptogenesis and Cosmic Inflation

There are more particles than antiparticles in our universe. A simple solution to this unexpected asymmetry, known as the baryon asymmetry of our universe (BAU), is leptogenesis, where a heavy right-handed neutrino (RHN) is introduced. Interestingly, the mass of the RHN coincides with the energy scales during inflation. In addition to this outstanding problem, dark matter continues to be elusive in its nature, with the only certainty being that it interacts gravitationally. This provides strong motivation to investigate particle production that occurs through gravitational interactions, commonly referred to as cosmological gravitational particle production (CGPP). During inflation, spacetime expands non-adiabatically, necessarily leading to this particle production mechanism. A simple model that connects the Standard Model (SM) to inflation is one that takes the inflaton to be the SM Higgs field, though it does not require it being the SM Higgs. We investigate the dynamics of a spectator scalar field and we find the the resultant particle spectrum. We find a significant increase in particle production compared to other forms of inflation such as quadratic inflation. The spectrum exhibits new features, including the occupation number $n_k$ scaling like $\xi$, the non-minimal coupling to gravity, and which is peaked on a characteristic wavenumber that also scales with $\xi$. This large particle production enhancement and new scaling with $\xi$ allows us to investigate the parameter space for leptogenesis and DM. In the case of leptogenesis, the spectator field is the heavy RHN that decays asymmetrically into leptons and through non-perturbative effects, produces the BAU. Alternatively, the decay products of this spectator scalar field can comprise the DM of our universe.

Speaker: Tammi Chowdhury (University of Manitoba)

CAP-talk.key

CAP-talk.pdf

15:30 Background Estimation for Precision Electroweak Measurements with ATLAS Detector

Electroweak production of a Z boson in association with two jets (EW Zjj) provides a clean way of probing vector boson fusion (VBF) and is a crucial test of the electroweak couplings within the Standard Model at high energies. Using the ATLAS detector at the Large Hadron Collider, this analysis measures differential cross sections in the dilepton channel, focusing on the characteristic VBF topology with two forward jets of high transverse momentum, large invariant mass ($m_{jj}$), and large rapidity separation ($\Delta y_{jj}$). The measurement uses the full Run 2 dataset at $\sqrt{s} = 13$ TeV (139 fb$^{-1}$) and most of the available Run 3 dataset at $\sqrt{s} = 13.6$ TeV (164 fb$^{-1}$), enabling independent measurements with increased sensitivity in the high-$m_{jj}$ and high-$\Delta y_{jj}$ regions where the EW contributions dominate. A central challenge of the EW Zjj measurement at a hadron collider is the suppression of the dominant QCD-induced Z+jets background, which closely mimics the signal topology but lacks the characteristic colour-singlet exchange. Previous measurements in this channel have identified reliance on QCD simulation as a primary bottleneck in extracting precise EW yields from data. This work presents a background-estimation strategy using an extended maximum likelihood fit that is designed to have reduced sensitivity to the choice of prior QCD modelling. The fit extracts the primary background normalization and data-driven fractional background scaling factors from two control regions with additional jet activity. The background yields in the signal region and in a third control region, defined by the absence of additional jet activity, are simultaneously corrected using the extracted scaling factors. Our preliminary studies indicate that this approach enables electroweak measurements with reduced systematic uncertainties. The proposed strategy has been rigorously stress-tested and shown to be minimally biased and stable under variations in the prior modelling of both signal and background from simulation. The resulting measurements using ATLAS data are expected to provide a valuable benchmark for interpretations within the Effective Field Theory (EFT) framework.

Speaker: Ishan Vyas (Carleton University (CA))

CAP26_IshanVyas.pdf

14:15 → 15:45 (DAMOPC) M2-11 AMO Applications | Applications AMO (DPAMPC)

Convener: TJ Hammond (University of Windsor)

14:15 Progress Toward Canada’s First Portable Quantum Gravimeter

Absolute gravimeters based on falling corner-cube reflectors have been a cornerstone of geophysical research and exploration for decades. On the other hand, quantum gravimeters use matter-wave interferometry with a free-falling cloud of laser-cooled atoms to measure gravity down to the $10^{-9}$ g level. These instruments have demonstrated excellent sensitivity and stability over several months, making them ideal for detecting low-frequency gravity signals. Commercial quantum gravimeters are now available on the market, but there has been surprisingly little work to develop them in Canada. In this talk, I will discuss progress toward building Canada’s first portable quantum gravimeter at the University of New Brunswick. I will also provide an overview of its functionality and its key advantages over traditional technologies for applications in geophysics and geodesy.

Speaker: Prof. Brynle Barrett (University of New Brunswick)

14:45 Trapping Barium ions in a surface ion trap for quantum information processing

Trapped ions are among the most precise hardware platforms for quantum information processing (QIP). Among various ion species, Barium ions are especially promising for scaling up quantum processors. They can be manipulated using visible light, for which advanced photonic devices such as fiber-based modulators are available, unlike the ultraviolet light required for most other ion species. Further, the availability of long-lived metastable states allows for encoding more than two-level systems, or qudits, in a single ion – expanding the controllable Hilbert space. Here, we present our progress towards developing a Barium ion quantum processor. We have successfully trapped 138Ba+ ions in a microfabricated surface trap – a major technical milestone. We use laser ablation to generate a plume of Barium atoms from a metallic target, then apply a two-step photoionization process to ionize and trap ions in an isotope-selective way. We outline challenges that we had to overcome to trap ions, such as the low trapping depth of the surface trap, high plume speed caused by laser ablation, and the existence of coherent dark states. These challenges require optimization over a large parameter space, including the positions, frequencies, and powers of several laser beams, and the voltages of trapping electrodes. We discuss our strategy for drastically reducing the parameter space through careful optical engineering, monitoring and remote control of various system parameters, and systematically searching the parameter space. The Barium ion system forms the basis of a versatile testbed for quantum simulation, as well as employing other quantum algorithms with both qubits and qudits.

Speaker: Hawking Tan (IQC)

15:00 Nonlinear Optical Properties of Photoresponsive Self-Assembled Monolayers

The field of smart materials, whose properties can be modified in response to an external stimulus, is currently experiencing rapid growth. Among the various stimuli available, light is particularly attractive for controlling materials, as it is readily accessible, biocompatible, non-invasive, and, most importantly, allows excitation with high spatial and temporal resolution. In this context, organic photochromic compounds have been extensively studied and incorporated into materials for a wide range of applications. Photoswitchable compounds are organic molecules capable of reversibly switching from a stable form to a metastable form upon light irradiation. These two photochromic states exhibit different absorption spectra and often display distinct geometries, solubilities, and physicochemical properties. It is precisely this difference in properties between the two states that is exploited in photoactive materials for applications such as chemical and biological sensing, targeted delivery of bioactive molecules, photosensitive catalysis, energy storage, and information storage. In this work, the project aims to design photoresponsive self-assembled monolayers (SAMs) functionalized with nonlinear optical (NLO) photoswitches. The structure–property relationships governing the linear and nonlinear optical responses in solution were investigated in a range of azobenzene (AZO) and Donor–Acceptor Stenhouse Adduct (DASA) derivatives. These photoswitches, bearing an alkyne end group, were then covalently grafted onto an azide-terminated monolayer platform to afford photoresponsive monolayers. The resulting materials were characterized using classical surface analysis techniques such as contact angle goniometry, PM-IRRAS, and ToF-SIMS, as well as advanced optical characterization methods. The unique combination of Visible Reflection–Absorption Spectroscopy and Second Harmonic Generation spectroscopy not only allows the assessment of nonlinear optical responses, but also provides unique insight into intrinsic monolayer properties, including surface density and molecular orientation distribution.

Speaker: Dr Chloé Courdurié (University of Bordeaux)

15:15 Photoelectron holography of a heteronuclear molecule

We report on strong field photoelectron holography in heteronuclear hydrogen chloride (HCl), using coincidence resolved momentum imaging to access channel and orientation dependent electron dynamics. By detecting the photoelectron in coincidence with the ionic fragments, we unambiguously separate dissociative ionization pathways and reconstruct the molecular frame without requiring laser induced alignment or orientation.

The measured photoelectron momentum distributions exhibit clear holographic interference structures that arise from the coherent superposition of direct and rescattered electron trajectories. Unlike homonuclear molecules, HCl provides an intrinsic molecular asymmetry that enables direct access to orientation dependent strong field dynamics. We show that this asymmetry manifests itself not through a breakdown of holographic symmetry, but through orientation selective population of ionization channels and corresponding phase shifts in the holographic fringes.

To support the experimental observations, we compare the data to simulations based on the Coulomb quantum orbit strong field approximation. The calculations reproduce the main holographic features and confirm that the observed patterns originate from long trajectory interference, with the heteronuclear character entering primarily through the molecular potential and orientation dependent ionization amplitude. This benchmarking establishes channel resolved holography as a sensitive probe of molecular structure and dynamics beyond symmetric systems.

Our results demonstrate that strong field photoelectron holography can be extended to heteronuclear molecules in a fully coincidence resolved framework, providing access to orientation dependent electron scattering without field induced symmetry breaking. This approach opens new opportunities for imaging ultrafast coupled electron nuclear dynamics in polar molecules and more complex systems, and establishes a robust pathway toward quantitative molecular frame holography in strong laser fields.

Speaker: Dr Andre Staudte (Joint Laboratory for Attosecond Science of the National Research Council and the University of Ottawa)

15:30 Control of molecular rotation in helium nanodroplets with an optical centrifuge

We experimentally demonstrate that the rotation of molecules embedded in helium nanodroplets can be controlled with an optical centrifuge, allowing for the study of molecular dynamics inside the strongly interacting many-body environment of superfluid helium at variable levels of rotational excitation. We show that forced in-field rotation of molecules is possible over a continuous range of frequencies, and that with resonant excitation the field-free excited state rotational dynamics can be observed. This allows for time-domain measurements of state lifetimes, and allows us to study the interaction of superfluids with defects at the atomic level.

Speaker: Dr Ian MacPhail-Bartley (University of British Columbia)

14:15 → 15:45 (DCMMP) M2-12 Hard Matter 2: Optical/Scattering Measurement | Matière dure 2: Mesure de la diffusion optique (DPMCM)

Convener: Hang Chi (University of Ottawa)

14:15 Altered Halide Migration Dynamics in Nanoscale Br–Cl Perovskites under Photoexcitation

Mixed-halide perovskites offer exceptional bandgap tunability but suffer
from light-induced halide migration that degrades optical and electronic perfor-
mance. While this phenomenon has been extensively studied in bulk films and
I–Br systems, far less is known about halide migration in nanoscale structures
and Br-Cl systems. We investigate photoinduced halide migration in FAPbBr3-
based core–shell perovskite nanoparticles synthesized via reverse micelle tem-
plating, a method that enables precise control over nanoparticle size, spacing,
and interfacial chemistry.
Using a triple-loading process, the nanoparticles were fabricated with Cl
introduced through shell precursors (HCl, NiCl2, ZnCl2, and LaCl3). PL reveals
a reproducible, excitation-driven spectral shift from a mixed phase to a Br-rich
phase above a threshold excitation density. This behaviour is consistent with
light-induced halide segregation, driven by hole trapping at the lower bandgap
halide sites. Notably, the characteristic time constant of the transition increases
with excitation power and does not exhibit the saturation behaviour commonly
reported in thin-film systems. Additionally, expulsion of the lower bandgap
halide is not observed after long exposure times.
Despite differing shell chemistries, all core–shell nanoparticles exhibit simi-
lar migration kinetics, indicating that the rate of halide redistribution is gov-
erned primarily by confined carrier diffusion and nanoparticle geometry rather
than shell composition. Atomic force microscopy confirms that morphological
parameters remain constant across samples, isolating halide composition and
interfacial effects as the dominant variables. These results suggest that halide
migration in nanoparticle arrays proceeds through localized ionic rearrangement
within individual particles, rather than long-range domain growth characteristic
of bulk perovskite films.
This work demonstrates that nanoscale confinement fundamentally alters the
dynamics of light-induced halide migration and challenges existing kinetic mod-
els developed for continuous thin films. Reverse micelle–templated perovskite
nanoparticles therefore provide a powerful platform for probing ion–carrier cou-
pling, phase stability, and non-equilibrium processes in halide perovskites, with
implications for the design of optoelectronic devices based on nanostructured
perovskite materials.

Speaker: Leigh Byrne (Concordia University)

CAP_Abstract_figure.png

14:30 Quality of mid-IR plasmon resonances in highly mismatched alloys

Highly mismatched alloys (HMAs) – modified semiconductors with an alloying element that has highly different electronegativity from the host semiconductor elements – are used in solar cells and laser diodes due to their highly tunable band gaps. When the alloying element produces a state near the host conduction band (CB), the CB splits into two bands. It was recently shown that HMAs have tunable plasmon resonances spanning the THz to mid-IR range [1]. We evaluate the potential of HMAs for mid-IR plasmonic applications by predicting their bulk plasmon frequency and associated losses.
We characterize the quality of the plasmon resonance at frequency ω using a figure of merit M=|χ|^2⁄(Imχ), which describes the potential of a material to scatter or absorb light, where χ is the electric susceptibility [2]. We develop a theory for the frequency-dependent conductivity, and in turn χ(ω), using a Green’s function method based on the coherent potential approximation [3]. Imχ describes losses in the material, and we use a relaxation time approximation of the conductivity to represent those losses, with scattering times extracted from mobility measurements [4-5] and from model mobilities [6,7].
We find that HMAs doped up to 5×10^19 cm^-3 support a wide range of bulk plasmon frequencies up to approximately 240 meV, with potential to find M competitive with other leading mid-IR plasmonic materials such as doped silicon. We present the mobilities required for HMAs to achieve the quality factors of the highest performing materials.
[1] H. Allami and J. Krich, Phys Rev B 103, 035201 (2021).
[2] O. D. Miller et al., Optics Express 24 3329 (2016).
[3] B. Vélicky, Phys Rev 184, 614 (1969).
[4] J. Ibáñez et al., J Appl Phys 103, 103528 (2008).
[5] K. Volz et al., J Cryst Growth 248, 451 (2003).
[6] W. Walukiewicz et al., Physics and Applications of Dilute Nitrides, Taylor & Francis, 23 (2004).
[7] S. Fahy and E.P. O’Reilly, Appl Phys Lett 83, 3731 (2003).

Speaker: Mr Gavin Frodsham (University of Ottawa)

14:45 Using nanostructured dielectric surfaces for the generation of nano-focused XUV radiation

We introduce an active XUV optical element that simultaneously generates and focuses isolated XUV light to the nanoscale. By illuminating an MgO nanostructured surface with an 800 nm femtosecond laser in transmission, we achieve coherent XUV generation and tight focusing (NA ≈ 0.35). However, IR contamination hampers applications. We suppress it by using p-polarized light at Brewster’s angle and optimizing MgO nanofabrication. Our method overcomes XUV optics limits, aiming for <100 nm focal
spots for high-resolution imaging, laser writing, and photoelectron applications.

Speaker: Parnia Bastani

15:00 Measurement of spontaneous two-photon photocurrent in LT-GaAs driven by a bright-squeezed vacuum

Until recently, the fields of quantum optics and attosecond science appeared largely incompatible. The latter relies inherently on strong-field interactions, while quantum optics typically operates in single-photon regime. However, the development of high-gain spontaneous parametric down-conversion pumped by femtosecond lasers, has changed this landscape. These bright squeezed vacuum (BSV) sources are nearly single-mode and can reach energies of up to hundreds of nanojoules [1] enabling the nonlinear and strong-field experiments using non-classical light [2,3].

Here, we present an experimental investigation of two-photon photocurrents driven by 1600 nm BSV in a low-temperature-grown gallium arsenide (LT-GaAs) patterned with gold electrodes. The non-classical photon statistics of the BSV are mapped onto the photocurrent statistics, which exhibit a characteristic heavy-tailed exponential distribution. Both the mean and variance of the distribution change as a function of position within the electrode gap. Additionally, conditioning the photocurrents on the BSV photon number provides insights into the underlying electron excitation processes. The generation of photocurrents and their single-shot detection represent a first step toward realising a coherent control experiment with squeezed light—where interference between one-photon and two-photon pathways can enable terahertz radiation generation, a phenomenon previously demonstrated with coherent beams [4].
[1] Chekhova, M. V., G. Leuchs, and Marek Żukowski. "Bright squeezed vacuum: Entanglement of macroscopic light beams." Optics Communications 337 (2015): 27-43.
[2] Rasputnyi, Andrei, et al. "High-harmonic generation by a bright squeezed vacuum." Nature Physics 20.12 (2024): 1960-1965.
[3] Lemieux, S., et al. "Photon bunching in high-harmonic emission controlled by quantum light (2024)." arXiv preprint arXiv:2404.05474.
[4] Sederberg, Shawn, et al. "Vectorized optoelectronic control and metrology in a semiconductor." Nature Photonics 14.11 (2020): 680-685.

Speaker: Katarzyna Kowalczyk

15:15 Critical Mg Doping Threshold in Spray-Pyrolyzed SnO₂ Thin Films: Balancing p-Type Conduction and Visible Transparency for Transparent Conducting Oxide Applications.

Transparent conducting oxides require precise doping to balance transparency and conductivity for electronics, photovoltaics, and sensors. This study identifies a critical 4 at.% Mg doping threshold in spray pyrolyzed SnO₂ thin films. Films with 0–8 at.% Mg were deposited from 0.1 M SnCl₄•5H₂O + MgCl₂•6H₂O at 350 ± 5 °C and annealed at 450 °C. X-ray diffraction confirmed rutile phase stability up to 4 at % Mg, with crystallite refinement from about 35 to 22 nm and increased microstrain from Mg²⁺ substitution. SEM/EDS indicated a uniform nanostructure and successful Mg2+-incorporation. UV–Vis measurements showed over 75 % transmittance and bandgap tuning from 3.65 eV to 3.85 eV then to 3.55 eV, consistent with Burstein–Moss and disorder effects. Hall measurements revealed n type conductivity peaking at 4 at.% Mg, with optimal carrier concentration and mobility and sheet resistance around 450 Ω/sq, before defect scattering reduced performance at higher doping. These findings establish spray pyrolyzed 4 at.% Mg:SnO₂ as an ITO competitive transparent conducting oxide, with a figure of merit of 1.2 × 10⁻³ Ω⁻¹, suitable for scalable transparent conductive applications.

Speaker: Abiodun Adeoye (Abiola Ajimobi Technical University, Ibadan. Nigeria)

Abstract for CAP2 2026.docx

14:15 → 15:45 (DTP) M2-2 Field Theory and Particle Physics | Théorie des champs et physique des particules (DPT)

Convener: Prof. Hari Kunduri (McMaster University, Mathematics and Physics)

14:15 Anomaly mediated supersymmetry breaking and Seiberg-Witten theory

Recently, various authors have studied the vacua of strongly coupled field theories via the introduction of anomaly mediated supersymmetry breaking (AMSB) to supersymmetric (SUSY) gauge theories. SUSY gauge theories are more tractable than their non-SUSY counterparts, and AMSB allows one to retain a level of analytic control over the theory even as SUSY is broken. It is thus an alluring tool to study non-SUSY vacua. However, it is known that in at least some cases, there is a phase transition as the SUSY-breaking scale crosses the confinement scale. It is therefore unclear to what extent these types of calculations accurately portray realistic non-SUSY physics.

We introduce AMSB to $\mathcal{N}=2$ SQCD with massless squarks. In the UV, we find that the resulting theories retain $\mathcal{N}=1$ SUSY for all $SU(N)$ gauge groups. This provides an opportunity to study the robustness of AMSB itself. We have a much better understanding of $\mathcal{N}=1$ SQCD than we do its non-SUSY counterpart, allowing us to compare the vacua associated to different scales of SUSY-breaking.

Specializing to $SU(2)$, we calculate the SUSY breaking effects in the IR. The surviving vacua exhibit monopole condensation and confinement as in the famed 1994 Seiberg-Witten papers. This result provides tentative support to the validity of a recent attempt by Murayama to derive the vacuum structure of massless QCD using AMSB.

Our calculations in some sense determine the leading low-energy running of the fundamental gauge coupling, deep in the nonperturbative regime. We heuristically argue that this running can be interpreted as a statement about Wilson loops - namely, that they follow an area law.

Speaker: Cyrus Robertson Orkish

Anomaly mediation and Seiberg Witten theory (1).pdf

14:30 Generalized uncertainty relations in non-relativistic quantum field theories

Generalized uncertainty relations are the epitome of bridging quantum theory and the general theory of relativity, which, in principle should lead to the elusive consistent theory of quantum gravity. We show that such generalized uncertainty relations also emerge from the functional integral formalism in the context of non-relativistic quantum field theories. Derivation of the Generalized Uncertainty Principle (GUP) within the framework of non-relativistic quantum mechanics serves as a guiding example. This idea is expanded to a non-relativistic quantum field theory. It can be used to provide phenomenological predictions for quantum gravity tests in condensed matter systems. As an example, Bose-Einstein condensates are considered.

Speaker: Dr Mitja Fridman (Czech Technical University in Prague)

2026_CAP_Congress_presentation___NRQFT.pdf

14:45 Higgs Inflation: Particle Factory

Cosmic Inflation provides a window into the highest energy scales realized in the history of our universe. Higgs Inflation, wherein the Standard Model Higgs or a variant is identified as the inflaton, provides a minimal framework for incorporating cosmic inflation into the Standard Model. In this talk I will study particle production in Higgs Inflation, and present new idiosyncratic aspects which distinguish it from other inflation models, with implications for the production of dark matter and the baryon asymmetry of the universe.

Speaker: Evan McDonough (University of Winnipeg)

McDonough-Higgs-Inflation.pdf

15:00 Radiative effects on scalar light dark matter

In the continued search for dark matter (DM), community interest has extended beyond the standard weakly-interacting-massive-particle paradigm to a richer set of scenarios and detection opportunities. A major focus of upcoming DM searches involves light dark matter (LDM): a class of candidates with masses on the electron to proton scale, characterized by a massive dark photon which mixes kinetically with the regular photon. LDM is often taken to readily interact with regular matter in the early Universe. This scenario yields cosmological predictions for rates of DM interaction or production in today's experiments, with scalar candidates being particularly well-constrained. While the origin of the dark photon's mass is often left unspecified, the inclusion of a dark Higgs as an explicit source of the associated symmetry breaking can significantly affect cosmological predictions for complex scalar DM. Additionally, large dark-sector couplings are generally allowed and often preferred in order to avoid experimental bounds. Such scenarios necessarily result in substantial radiative corrections which are affected significantly by the characteristics of the dark Higgs. We present the effects of such corrections on detection prospects for accelerator-based and direct-detection experiments.

Speaker: Lilianna Hariasz (Simon Fraser University)

2026_CAP_LHariasz.pdf

14:15 → 15:45 (DAMOPC) M2-3 Bose-Einstein Condensates and Their Applications | Les condensats de Bose-Einstein et leurs applications (DPAMPC)

Convener: Karl-Peter Marzlin

14:15 Improved detection scheme for a cold-atom gravimeter

High-sensitivity gravity measurements are essential for environmental monitoring, natural resource exploration, and national security. Quantum gravimeters utilizing cold-atom interferometers have demonstrated high levels of accuracy, sensitivity, and long-term stability that outperforms traditional gravimeters based on falling corner cubes. We present improvements to the detection system of our table-top quantum gravimeter by using a spatially resolved state detection scheme. Two vertically separated light sheets in the horizontal plane create independent detection zones for the F=1 and F=2 ground states in Rb. Cold atoms traversing the light sheets fluoresce with an intensity proportional to the population in each state. Large diameter optics are used to increase the number of collected photons and therefore the signal-to-noise ratio of the quantum gravimeter. This detection system is also located ~20 cm below the release point of the cloud, which extends the total interrogation time up to 2T = 200 ms. Since the gravimeter sensitivity scales as T, these improvements will position our instrument near the state-of-the-art and allow it to serve as a high-accuracy gravity reference for other gravimeters.

Speaker: Timothy Hunt (University of New Brunswick)

Abstract_CAP-2026_Hunt_v1_Final.pdf

14:30 Towards a Bose Einstein condensate of Ag

The matter-antimatter asymmetry is a long standing problem in physics. Sakharov showed that one requirement to explain this asymmetry is CP violation. To date there has not been sufficient CP violation observed in the Standard Model to fulfill this condition. We propose using novel FrAg molecules which are highly sensitive to hadronic CP violating physics to look for the Fr nuclear Schiff moment. These molecules can be formed by combining laser-cooled atoms using standard techniques done for ultracold bi-alkali molecules. Here we report on progress towards assembling these molecules by understanding the scattering properties of Ag. We report on observed lambda-enhanced gray molasses cooling, trapping in an optical dipole trap and Feshbach resonances. We also report on progress towards a Ag BEC.

Speaker: Addison Okell (University of Waterloo)

14:45 Analogue Black Holes in BECs

Hawking radiation is a quantum phenomenon arising from event horizons but is probably impossible to observe in its original astrophysical context. An alternative is to study an analogue system such as a Bose-Einstein condensate (BEC) where event horizons can occur in regions where the BEC flows faster than the speed of sound in the system, and phonons within the condensate play the role of photons. My research is about the theory of particle production in BEC black holes; in particular, bringing out universal features using tools such as catastrophe theory. In this presentation I will discuss the theoretical background of analogue black holes and will delve into concepts of catastrophe theory and how it can be used to study particle creation.

Speaker: Nevan Keating (McMaster University)

15:00 Quantum Quenches in the two-component Bose-Hubbard model

Cold atoms in optical lattices can be used as quantum simulators to study the temporal evolution of quantum systems, which has lead to increasing interest in the out-of-equilibrium dynamics of bosons in optical lattices. Adding a second species of bosons introduces a wide range of novel quantum phases and provides a platform to explore analogues of spin systems. We study the Bose-Hubbard model for two-component bosons using a strong-coupling approach within the closed-time-path formalism and develop a two-particle irreducible effective action of this problem. We obtain equations of motion for the mean field and full propagators and study these in the low-frequency, long wavelength limit.

Speaker: Florian Baer (Simon Fraser University)

15:15 Emergent Spacetime Geometries in Bose–Einstein Condensates: From Spherical Refocusing to FLRW Analogues

Atomic Bose-Einstein condensates (BECs) provide a versatile platform for simulating curved spacetimes via their emergent acoustic metrics. By tailoring the trapping potential, one can realize inhomogeneous density profiles that generate effective geometries conformal to a sphere or a hyperboloid. In the spherical case, phonons follow closed geodesics and refocus at antipodal points, echoing the perfect refocusing found in certain optical systems. We show exact agreement between affine geodesics and ray dynamics in the geometric-optics limit. Beyond this static setting, the framework naturally extends to time-dependent couplings, yielding effective line elements equivalent to Friedmann-Lemaître-Robertson-Walker (FLRW) cosmologies with tunable curvature. Using Gross-Pitaevskii simulations, we demonstrate the refocusing dynamics, test their robustness to perturbations, and compare with preliminary experimental data. This approach provides a concrete route to exploring analogue cosmology and wave dynamics in emergent spacetime backgrounds.

Speaker: Jay Mehta (McMaster University)

15:30 Topological Control of Vortices via Dynamical Instabilities

Nonequilibrium driving can generate strongly asymmetric responses even in systems without net bias or static symmetry breaking. We consider a framework for controlling vortices in a Bose–Einstein condensate confined to a ring trap through dynamical instabilities. When the system is periodically driven across an instability threshold, the resulting nonlinear response produces asymmetric growth and decay cycles that allow vortices to be deterministically switched on and off, even in symmetric settings. These dynamics provide a natural route to instability-enabled control in driven quantum fluids.

Speaker: Denise Kamp

14:15 → 15:45 (DCMMP) M2-4 Soft Matter 2: Rheology and Colloids | Matière molle 2 : Rhéologie et colloïdes (DPMCM)

Convener: Dr Benjamin Baylis

14:15 Physical Properties of Dextran Solutions as Model Crowding Media

The role of macromolecular excluded-volume effects in living systems (``macromolecular crowding'') is widely appreciated, but model crowders used in these studies are inadequately characterized. In this work, we examine viscosity, polymer self-diffusion and water diffusion in solutions crowded by dextran polymer of three different molecular weights. Solution viscosity and the reduced dextran self-diffusion follow size-dependent trends. The concentration dependence of the viscosity is well accounted for by power laws that signal a crossover from dilute to semi-dilute behaviors, with the latter scaling yielding a Flory exponent of 0.44 consistent with the branched nature of dextran. Dextran self-diffusion, on the other hand, has an exponential concentration dependence, which is consistent with an excess entropy scaling hypothesis. Finally, water diffusion decreases with polymer concentration but is independent of polymer molecular weight, and can be used to obtain the true excluded volume including hydration. In summary, well-characterized polymeric crowders are likely a good minimal option to mimic macromolecular crowding in cells.

Speaker: Anand Yethiraj (University of Guelph)

14:30 Electrically-driven Microscale Turbulence

Electrohydrodynamic flows in emulsions provide a controllable setting for studying driven non-equilibrium systems. In this work, we introduce an oil-in-oil emulsion that enables systematic control of EHD behavior by tuning the electrical conductivity of the continuous phase while maintaining nearly constant viscosity and dielectric contrast. At low electric fields, droplet deformations are consistent with leaky-dielectric theory across a range of conductivity ratios, providing direct experimental validation of drop-deformation models. At higher fields, the system undergoes a transition to a dynamically disordered state characterized by collective droplet motion and strong spatiotemporal fluctuations. We quantify this regime using particle image velocimetry (PIV), differential dynamic microscopy (DDM), and rheometry, revealing scale-invariant velocity fluctuations and power-law energy spectra at low Reynolds number, i.e., an unusual microscale turbulence. These results represent a useful model system for studying driven non-equilibrium soft-matter.

Speaker: Majid Bahraminasr (Memorial University of Newfoundland)

14:45 Competition Between Electrostatics and Hydrophobicity in the Rheology of Modified Phytoglycogen Nanoparticles

Phytoglycogen (PG) is a highly branched biopolymer that occurs naturally as compact, soft, hydrated and hairy nanoparticles with an underlying dendritic architecture. Collectively, these properties make PG a unique soft colloidal nanoparticle for fundamental studies that is also desirable for personal care, nutrition, and biomedical applications. The functionality of PG can be modified through covalent attachment of chemical groups such as octenyl succinic anhydride (OSA), a negatively charged, hydrophobic molecule. High degrees of substitution (DS) of OSA result in the hydrophobic collapse of OSA-modified chains on the surface of the PG particles [1]. In the present study, we vary the DS value and use rheology to measure the divergence of the zero-shear viscosity of aqueous dispersions of OSA-PG with increasing OSA-PG concentration. We find that the glass transition concentration, at which the relative viscosity is $10^{5}$, changes nonmonotonically with DS: it decreases rapidly with DS for low DS values and then increases more gradually with DS for high DS values. We attribute this nonmonotonic dependence on DS to the competing effects of electrostatics, which dominate at small DS, and hydrophobicity, which dominates at large DS.

[1] J. Simmons et al., Biomacromolecules 21, 4053 (2020).

Speaker: Ricky Summerlin (University of Guelph)

15:00 Kinetics of structure formation in colloids with controllable electrostatic and depletion interactions and toggled dipolar interactions

Simulations by Sherman et al. (2016) [1] demonstrated that time-dependent, periodically toggled interparticle attractions in nanoparticles can anneal disorder, enable escape from kinetically arrested states, and promote the formation of well-ordered crystalline domains. In our work, we investigate a similar out-of-equilibrium pathway to structure formation in a density- and refractive-index-matched PMMA colloidal dispersion (1.3um in diameter). This is done by applying a toggled external AC electric field that alternates between on and off states, thereby driving the system between regimes of steady depletion interactions and induced dipolar interactions. Using the dipolar–depletion phase diagram as a reference (Semwal et al., 2022 [2] ), we explore how toggling parameters (field amplitude, on-time, and off-time), depletion strength, and colloid volume fraction—affects the kinetics and emergent phases of the system. Structural ordering is quantified using the pair correlation function, bond-orientational order parameters, and the non-affine displacement parameter, characterizing the microstructure.

[1] Zachary M. Sherman and James W. Swan. Dynamic, directed self-assembly of nanoparticles via toggled interactions. ACS nano, 10(5):5260–5271, 2016.
[2] Shivani Semwal, Cassandra Clowe-Coish, Ivan Saika-Voivod, and Anand Yethiraj. Tunable colloids with dipolar and depletion interactions: towards field switchable crystals and gels. Phys. Rev. X, 12(17):041021, 2022.

Speaker: Ashish Joy (University of Guelph)

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15:15 Active Transport as a Mechanism of Microphase Selection in Biomolecular Condensates

Cells control the size and organization of biomolecular condensates formed by liquid-liquid phase separation (LLPS), yet the underlying physical principles remain incompletely understood. We propose a transport-driven mechanism in which undirected motor-mediated motion along cytoskeletal filaments redistributes phase-separating components, generating an effective non-equilibrium long-range repulsion that arrests coarsening. This is explored using a minimal reaction-diffusion-transport model that captures the interplay between binding-release kinetics, diffusion, and active transport. A linear stability analysis and three-dimensional simulations reveal a transition from macroscopic to microphase separation at remarkably low binding/release fractions, corresponding to minute fractions of motor-bound proteins. Tuning motor binding rates $b$ or transport velocities enables sublinear control of condensate dimensions ($L \sim b^{1/4}$) from nanometers to micrometers. This mechanism provides a simple physical route for spatially programmable condensate organization in living cells and active materials.

Speaker: Le Qiao (Johannes Gutenberg University of Mainz)

14:15 → 15:45 (DQI) M2-5 Quantum Algorithms I | Algorithmes quantiques I (DIQ)

Convener: Daria Ahrensmeier

14:15 (WITHDRAWN) On the complexity of shallow quantum circuits with and without noise

What computational problems can be solved efficiently with quantum computers, but not with classical computers? One of the most well understood examples of a problem that exhibits such a quantum computational advantage is sampling from quantum circuits. Based on a growing body of theoretical evidence, the problem of sampling from deep, random quantum circuits is now believed to be classically intractable, yet implementable with today's 'NISQ' hardware. However, much less is known about sampling problems beyond the particular regime of deep random circuits. In this talk, I will explore the boundaries of computational advantage in circuit sampling in different regimes, focusing on shallow circuits and the effects of noise. I will describe a sharp transition that occurs as a function of the circuit depth, which separates a classically simulable phase from a putatively complex, non-simulable phase. I will present a precise, statistical description of the quantum states generated by these circuits in the shallow, non-simulable regime, which both accounts for the hardness of classical simulations, and also predicts a dramatic susceptibility to noise. Based on this structural characterisation of shallow circuit sampling, I will argue that even a very small noise rate - scaling with the system size n as log(n)/n - renders the output distribution classically simulable. This highlights the extreme sensitivity of circuit sampling problems to noise, and sheds light on the complexity of simulating quantum many-body dynamics more generally.

Speaker: Max McGinley (Cambridge)

14:45 Adaptively Reconstructing a Quantum State Using Artificial Neural Networks

Quantum state tomography (QST) aims to reconstruct an unknown quantum state from measurement statistics and is a central tool for characterization and validation in quantum information and quantum computing. A key practical limitation in QST is sample cost: reconstructing a quantum state requires data from an informationally complete measurement set, and the number of distinct measurement settings scales exponentially with the system size. Adaptive QST mitigates this burden by using interim data to choose subsequent measurement settings, allocating samples to the most informative settings and reducing the number of settings that must be sampled exhaustively.
We investigate an adaptive QST strategy that uses Restricted Boltzmann Machines (RBMs), energy-based generative neural networks trained on measurement results, to represent quantum states. A committee of independently trained RBMs guides measurement selection by ranking candidate measurement settings by prioritizing measurements that are expected to reduce the model uncertainty most. To quantify the benefit of adaptivity under controlled conditions, we implement a candidate pool of Pauli measurement settings and simulate measurements outcomes in Qiskit (an open-source quantum computing software development kit). Target states are drawn from random ensembles spanning both pure and mixed states for one- to five-qubit systems.
For each total sample budget, we compare three reconstruction pipelines: (i) non-adaptive RBM tomography with a fixed measurement schedule, (ii) adaptive RBM tomography with data-driven measurement selection, and (iii) conventional maximum-likelihood estimation (MLE), which reconstructs the quantum state by maximizing the likelihood of the observed measurement data subject to physicality constraints. We quantify the performance by evaluating the infidelity (a difference measure between quantum states) for varying numbers of total samples, while also comparing total computational runtimes. This study aims to delineate the regimes in which adaptive RBM-based QST provides measurable gains over the non-adaptive design and MLE under identical measurement constraints.

Speaker: Riza Fazili (University of Ottawa)

15:00 Thermalization of a quantum circuit

Thermalization is a common phenomenon in classical statistical mechanics. We encounter this every time we pour milk into a coffee cup or release a gas into a larger volume. The system loses the memory of its initial conditions and achieves the equilibrium statistical value. Quantum systems normally display a unitary evolution in the time-dependent case. I show an application of the arguments for thermalization applied to quantum algorithms for linear algebra. The result is to remove wavefunction preparation in several examples.

This research was undertaken, in part, thanks to funding from the Canada Research Chairs Program (CRC-2021-00257). This work has been supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC) under grants RGPIN-2023-05510 and DGECR-2023-00026.

Speaker: Thomas Baker (Department of Physics & Astronomy and also of Chemistry, University of Victoria)

15:15 Discussion

14:15 → 15:45 (DNP) M2-6 Nuclear Astrophysics | Astrophysique nucléaire (DPN)

Convener: Dr Matthew Stukel (SNOLAB)

14:15 (α,n) reactions and the origin of the first r-process peak

The origin of the heavy elements of the first r-process peak, between strontium and silver, observed in Galactic halo stars (limited-r stars) remains an open question [1]. Neutrino-driven winds of explosive environments, either neutron- (weak r-process/α-process) or proton-rich (νp-process) present a viable option. In this talk, I will discuss how we can distinguish between different scenarios by constraining the nuclear physics uncertainties, particularly the (α,n) reaction rates in the weak r-process, and comparing nucleosynthesis models to the abundance patterns observed in limited-r stars [2]. I will discuss current experimental campaigns aimed at measuring key (α,n) reaction rates [3,4], and and how new, high-quality spectroscopic data from limited-r stars will provide essential constraints for the next generation of astrophysical models.

References
[1] A. Psaltis et al., Astrophys. J 935, 27 (2022).
[2] A. Psaltis et al., Astrophys. J 966, 11 (2024).
[3] M. Williams et al., Phys. Rev. Lett. 134, 112701 (2025).
[4] C. Fougères et al., Astrophys. J 983, 142 (2025).

Speaker: Thanassis Psaltis (Saint Mary's University)

14:45 Absolute cross section measurements for astrophysical reactions with the EMMA recoil mass spectrometer at TRIUMF

The transmission efficiency of the EMMA recoil mass spectrometer at TRIUMF has been measured to enable direct absolute cross section measurements of astrophysical reactions. I will describe the measurements, the mathematical models of the spectrometer acceptance as a function of angle and energy/charge derived from them, and some recent determinations of astrophysical reaction cross sections.

Speaker: Dr Barry Davids (TRIUMF)

CAP2026.pdf

15:00 The 18O(α, γ)22Ne reaction measurement with DRAGON in inverse kinematics

Have you ever wondered how all the elements we find here on Earth and in the universe were created? Nearly all naturally occurring elements are produced via nuclear reactions in the interiors of the stars. Half of the elements heavier than iron are synthesized in the slow neutron capture process (s-process), which occurs mainly in two astrophysical sites: asymptotic giant branch (AGB) stars (main s-process) and massive stars during core helium burning and shell carbon burning (weak s-process). The $^{18}$O(α, γ)$^{22}$Ne reaction is a key link in determining the availability of $^{22}$Ne in the stellar environment, which affects the amount of neutrons available for the s-process through the $^{22}$Ne(α, n)$^{25}$Mg reaction. The $^{18}$O(α, γ)$^{22}$Ne reaction was measured in inverse kinematics for the first-time using the DRAGON recoil separator at TRIUMF, Canada’s particle accelerator centre. In this talk, I will present the scientific motivation for studying this reaction, the experimental setup, and progress on the analysis so far. I will also discuss potential future plans for additional measurements of the $^{18}$O(α, γ)$^{22}$Ne reaction with DRAGON.

Speaker: Dhruval Shah (McMaster University)

Dhruval_Shah_CAP_26.pdf

15:15 Investigation of Decay Channels from the 6.15 MeV Resonance in ¹⁸Ne Using the ¹⁷F+p Reaction with ACTAR TPC

Type I X-ray bursts and classical novae are powered by thermonuclear reactions on the surface of accreting compact objects, where breakout reactions from the hot CNO cycle play a critical role. One such reaction is ¹⁴O(α,p)¹⁷F, which at typical novae temperatures is dominated by a resonant state at Ex = 6.15 MeV in ¹⁸Ne. While the energy and spin of this resonance are well established, its decay scheme remains uncertain, with previous studies reporting inconsistent results for a possible two-proton (2p) decay branch.

To investigate the decay modes from excited states in ¹⁸Ne, a resonant scattering experiment was performed at TRIUMF using the Active Target and Time Projection Chamber (ACTAR TPC). A radioactive ¹⁷F beam with an energy of 5.5 MeV/u was delivered into a hydrogen-based gas mixture, allowing simultaneous detection of charged reaction products. The use of a TPC is essential as it enables full kinematic reconstruction of events and unambiguous particle identification for single-proton, two-proton, and α decay channels.

In this presentation, I will present the experimental approach, track reconstruction techniques, and ongoing analysis aimed at constraining the relative contributions of different decay modes of the 6.15 MeV resonance in ¹⁸Ne.
This work was performed in collaboration with GANIL (France) and TRIUMF (Canada).

Speaker: Fatima Aljarrah (University of Regina)

15:30 Beta-Delayed Charged-Particle From 20Mg

One of the most important nuclear reactions in astrophysics is the 15O(α,γ)19Ne(p,γ)20Na reaction, which provides a possible breakout pathway from the hot CNO cycle in stars. Studying this reaction directly in the laboratory is challenging, instead, an indirect study using β-decay proton and α decays of 20Mg was recently performed at TRIUMF. The experiment used the Gamma-Ray Infrastructure for Fundamental Investigations of Nuclei (GRIFFIN) gamma-ray spectrometer and, for the
first time, the Regina Cube for Multiple Particles (RCMP), a newly developed silicon detector array designed to detect low-energy protons and alpha particles. This setup enables the most sensitive search to date for rare decay branches and gamma-ray transitions from astrophysically important states. My thesis focuses on calibrating the RCMP array and analyzing this new high-statistics dataset to constrain the properties of resonances that play a key role in stellar nucleosynthesis.

Speaker: Sydney Plante (University of Regina)

14:15 → 15:45 (DPE) M2-7 Student-centered education | Éducation centrée sur l'élève (DEP)

Convener: Miranda Schmidt

14:15 What do high school teacher want 1st year university instructors to know?

The transition from high school to first-year courses is fraught with growing challenges. While university instructors notice a widening gap in foundational skills, high school educators face evolving classroom realities and are told to “start where the student is at”. Neither side has a perfect solution, and both sides are frustrated. I will share some observations gathered from high school physics teachers. This session serves as an open, yet constructive, forum for educators to share their observations, assumptions and intentions. By examining where our expectations diverge and where our efforts overlap, we will have a necessary conversation about how to better support students and educators navigating this increasingly difficult step.

Speaker: Michelle Lee (OCDSB)

14:45 Tomorrow’s scientists: How a new program at SNOLAB is engaging youth in STEM

Developing scientific inquiry skills in elementary and middle school students is critical for fostering long-term engagement with science and building scientific literacy in the next generation. With support from NSERC PromoScience funding, the SNOLAB education team has developed a new program for students in Grades 4–8 that emphasizes authentic, hands-on learning connected to Canada’s deep underground science laboratory.

This program introduces students to the scientific method and the world of research by guiding them through six sessions designed for in-person or virtual classroom delivery. Students learn about asking testable questions, designing experiments, interpreting results, and communicating what they found. The proposed session will present a program overview, share the initial outcomes from the pilot of the program, and discuss plans for intentional program expansion.

Session participants will be invited to take part in group learning opportunities, discussions on the value of early education programming to the field of physics, and how physicists can support inquiry-based science education at the elementary and middle school levels.

Speakers: Blaire Flynn (SNOLAB), Rachel Richardson (SNOLAB)

Flynn-and-Richardson_SNOLAB-CAP-2026.pdf

15:00 From Collaborative Competition to Community: Five Decades of the UBC Physics Olympics

This presentation examines how the UBC Physics Olympics (https://physoly.phas.ubc.ca/) has evolved into one of Canada’s largest and most sustained physics outreach initiatives, directly aligned with the CAP’s mission to promote physics, support education and training, and strengthen the physics community. Each year, more than 80 teams from across British Columbia (often with multiple teams from the same school) participate, with each team comprising approximately 30 students. The event actively supports pedagogical innovation by engaging students in intellectually demanding, team-based challenges that include experimental laboratory tasks, Quizzics conceptual competitions, Fermi problems, and sophisticated pre-build engineering challenges prepared well in advance. New tools and approaches, such as smartphone-based investigations using Phyphox, are intentionally embedded to promote modelling, approximation, experimental design, and reasoning under uncertainty. Supported by over 80 volunteers, undergraduate and graduate students, faculty, and staff, the Physics Olympics fosters sustained collaboration between physicists, physics educators, and teachers. Notably, many former participants have gone on to become physics students and secondary physics teachers, highlighting the event’s long-term impact on the physics education pipeline and the larger community.

Speaker: Marina Milner-Bolotin (The University of British Columbia)

14:15 → 15:45 (DPMB) M2-8 Biophysical Approaches to Structure, Function, and Environmental Response | Approches biophysiques de la structure, de la fonction et de la réponse environnementale (DPMB)

Convener: Jennifer Ogilvie (Department of Physics, University of Ottawa)

14:15 Differentiation of Bacterial Species in Biomedical Specimens Using Laser-Induced Breakdown Spectroscopy

Our research group has previously demonstrated the ability to detect bacteria within numerous types of biological media to a high degree of accuracy using laser-induced breakdown spectroscopy (LIBS). This presentation will describe our efforts to differentiate several bacterial species using this spectroscopic method in addition to detection. Experiments were conducted on Escherichia coli, Staphylococcus aureus, Mycobacterium smegmatis, Enterobacter cloacae, and Streptococcus salivarius. These pathogens were chosen as they can induce bacterial meningitis, a life-threatening infection of the membranous tissue surrounding the spinal cord and brain. There is a need for a rapid, convenient, and accessible diagnostic technique capable of accurately distinguishing between bacterial species in cases of such infection. This would allow physicians to prescribe appropriate antibiotic therapy in a timely manner.

Known aliquots of the aforementioned bacteria were spiked into blood, urine, and artificial cerebral spinal fluid (aCSF). A custom centrifugation system deposited a thin bacterial film onto a nitrocellulose medium. Optical emission spectra were produced by ablating the bacterial film with a 1064 nm, 9 ns Nd:YAG laser, creating a high-temperature microplasma. Approximately 26,500 cells were ablated with each laser pulse.

Classification of bacterial species based on their LIBS spectra was accomplished with various chemometric methods, namely partial least squares discrimination analysis (PLS-DA) and an artificial neural network with principal component analysis preprocessing (PCA-ANN). Two separate datasets were used in the analysis. For PCA-ANN, the full optical spectrum, ranging from 205 nm to 590 nm, was utilized. For PLS-DA, the intensities of 15 emission lines from Ca, Mg, Na, C, and P and ratios of those intensities formed datasets with 107 total variables.

The classification accuracies of the resulting analyses will be presented, providing insight into the usefulness of LIBS in discriminating between bacterial species when they are present in human specimens.

Speaker: Ms Lauren Dmytrow (University of Windsor)

14:30 Direct Measurement of Radon Diffusion in Biological Tissue Using Low-Background Techniques

Radon (222Rn) is a naturally occurring radioactive noble gas. It is purported to be the second leading cause of lung cancer in Canada and the USA. Exposure is currently assumed to be confined to the respiratory epithelium following inhalation. However, as an inert gas, radon may diffuse into porous media, water, and possibly biological soft tissues. Direct measurements of radon movement in and out of biological tissue are lacking. This project will test whether radon can diffuse into and emanate from living biological tissue.

We are in the conceptual stages of developing a novel experimental workflow at SNOLAB to directly measure radon emanation from biological samples using a sealed, radon-impermeable collection system paired with a high-sensitivity radon emanation board. Collected radon will be quantified using established radon emanation techniques pioneered by SNOLAB. Briefly, the radon board consists of a cryogenic dual-trap transfer system and low-background scintillation (ZnS) Lucas cell alpha counting, enabling detection sensitivities of tens of radon atoms per day. As a proof-of-concept, a synthetic soft-tissue mimetic will be exposed to elevated radon atmospheres and compared with air-exposed controls, with nitrogen flushing used to control residual airborne radon. Time-resolved radon off-gassing measurements will then be used to measure radon retention within the samples.

Following validation, this approach will be extended to whole-body and organ-specific measurements in a small animal model exposed to a controlled radon environment. Quantifying radon mobility in biological tissue has the potential to challenge existing assumptions about radon dose localization and inform improved biokinetic and dosimetric models relevant to radiation protection, low-dose risk assessment, and underground radiation environments.

Speaker: Michel Lapointe (SNOLAB)

14:45 Bioluminescence as a Biomarker for Assessing Environmental Health

Mechanically-stimulated bioluminescence in Pyrocystis fusiformis acts as a signal for probing environmental health using time-correlated single-photon counting techniques. The York University PCS 121, a portable biosensing technique utilizing Silicon Photomultiplier (SiPM) technology, in which a mechanical stimulus triggers the bioluminescence reaction, was used to measure photon emission from the marine dinoflagellate species, P. fusiformis, under controlled excitation. This is a photon-counting instrumentation, incorporating Geiger-mode SiPM detectors and proprietary algorithm that is very sensitive in time-resolved photon count detection, with enhanced low signal-to-noise performance and integrated piezoelectric mechanical stimulation. Mechanical stimulus is applied to the species, resulting in bioluminescence.

Cultures of P. fusiformis were exposed to varying concentrations of nitrates (NaNO3; 0.883-10.9 mM) and phosphates (NaH2PO4; 36.3 μM - 3.63 mM) and prepared in a 1:1 ratio of cells + f/2 medium to chemical solution. Dose-dependent response was quantified through live cell counts and measurements of bioluminescence behaviour via photon-counting instrumentation, assessing both emission intensity and decay properties. Phosphate exposure produced measurable changes in bioluminescent properties and cell counts, indicating significant chemo-physiological response. Across the tested nitrate conditions, no significant changes in cell viability were observed, suggesting relative tolerance of P. fusiformis to nitrate-based stress within this range. This study demonstrates a reproducible approach to the biophysical assessment of environmental health as bioluminescence is coupled with photon counting techniques.

Speaker: Sofia Puszynska (York University)

Abstract CAP (3)_OM.docx - Google Docs.pdf

15:00 Polarization resolved second harmonic generation microscopy reveals molecular disorder in crosslinked collagen fibrils

Crosslinking of collagen is a critical mechanism in bioengineering and human health. Crosslinks are used to strengthen in-vitro assembled collagen materials, yet excessive crosslinking in-vivo, due to factors such as aging and high blood sugar, can lead to functional loss in human tissues. There is a lack of understanding regarding the effects of crosslinking on collagen molecular structure. The triple helix structure of collagen has traditionally only been accessible using X-ray scattering techniques, measured over macroscopic regions. Second harmonic generation (SHG) microscopy is uniquely positioned to measure the triple-helix structure of collagen molecules with sub-micron resolution.

In this work, we used a laser-scanning polarization-in polarization-out second harmonic generation (PIPO-SHG) microscope to investigate changes in the collagen triple-helix structure under different crosslinking conditions. Collagen fibrils were assembled in-vitro from type I bovine telocollagen, then incubated in known crosslinkers glutaraldehyde, methylglyoxal, or ribose.

By fitting to SHG intensity images at different polarizations, we measured a decrease in molecular tilt angle from 44.9 ± 0.3° to 39.7 ± 0.6° after glutaraldehyde treatment. Similar trends were observed for methylglyoxal and ribose. This suggested a stretching of the triple helix due to intermolecular strain. However, the glutaraldehyde-treated fibrils had an angle very close to the SHG “magic angle” of 39.2°, observed when there are significant levels of molecular disorder (Simpson, 1999). To distinguish between the two interpretations, we imaged crosslinked fibrils with atomic force microscopy (AFM), which revealed that the fibril D-band repeat remained unchanged. This indicates that the decrease in molecular tilt angle after collagen crosslinking is due to molecular disorder, rather than a strain-induced shift in the triple helix structure. Our work offers an empirical measurement of the molecular structure of collagen crosslinking, with implications for in-vitro collagen material design and quality control as well as aging and disease mechanisms in in-vivo collagen tissues.

Speaker: Benjamin Hansson

Benjamin Hansson 2026-06-22 CAP Congress Talk.pdf

15:15 Probing the Surface Chain Length Distribution of Phytoglycogen Nanoparticles Using AFM Force Spectroscopy

Phytoglycogen (PG) is a natural biopolymer extracted from sweet corn that is composed of highly branched chains of glucose molecules. Its special dendritic chain architecture results in monodisperse nanoparticles with a diameter of 42 nm that are decorated with short chains, and its chemically simple composition results in biodegradability and nontoxicity. This combination of properties makes PG desirable for a variety of biophysical, biomedical, and cosmetic research and applications. We have used atomic force microscopy force spectroscopy (AFM-FS) to study the morphology and mechanical properties of individual PG particles covalently bonded to a flat gold substrate using an intervening self-assembled monolayer of 4-mercaptophenylboronic acid [1]. In AFM-FS, the AFM tip is repeatedly pressed into and retracted from the sample while rastering over a small area of the sample. This allows the measurement of the topography of the sample as well as different mechanical properties, including the sample stiffness and the adhesion forces between the AFM tip and the sample. Recently, we developed an analysis of the AFM-FS data using a supervised machine learning (ML) classifier to identify the location of individual PG nanoparticles on the gold substrate [2]. The ML classifier uses features engineered from individual force-distance curves at each pixel in an AFM scan that describe the mechanical properties of the material interacting with an AFM tip at that location. In the present study, we use the supervised machine learning approach to quantify the AFM tip-PG particle adhesion by identifying and analyzing the force peaks observed during the retraction of the AFM tip in terms of the extensible worm-like chain model. This allows the determination of the contour length distribution of the short chains that decorate the PG particle surface, for which we observe a well-defined peak that is consistent with the average length of the short chains measured using small angle neutron scattering (SANS) [3].

[1] B. Baylis et al., Biomacromolecules 22, 2985 (2021).
[2] B. Baylis et al., Soft Matter (2026).
[3] J. Simmons et al., Biomacromolecules 21, 4053 (2020).

Speaker: Nishel Alexander

15:30 The vertebrate ear is an active linearistic subatomic displacement sensor

The ear is a complex system that acts as a mechanoelectrical transducer, allowing organisms to sense acoustic signals emanating from the world around them. To improve its ability to detect sound, the ear is active in that it uses metabolic energy to generate force that counteracts both frictional forces and noise (e.g., viscous and thermal properties of the inner ear fluid). The healthy vertebrate ear can even generate and emit coherent sound (spontaneous otoacoustic emission, or SOAE) that can be measured in the ear canal using a sensitive microphone.  Significant debate however exists about the collective biophysical processes of the hair cells underlying this power amplification, as well as the related SOAE generation mechanisms. One proposed framework considers the ear as collection of oscillatory elements poised on the verge of an instability: a negative damping is paired with a stabilizing nonlinearity that could allow for self-sustained oscillation (e.g., a Hopf bifurcation). A key prediction of such a model is that the response to external driving force is highly compressive: sound-evoked motions would grow as the cube root of the stimulus level. Here, to test this prediction, we use scanning laser Doppler vibrometry (sLDV) to noninvasively measure the spontaneous and sound-evoked motions of the anole lizard tympanic membrane (TyM, or "eardrum"). We observed spontaneous oscillations (SO) of the TyM as a series of stable spectral peaks that appear consistent with acoustic SOAE measures. These oscillations are readily observable, even with amplitudes as low as 10-20 pm. For reference, the diameter of a hydrogen atom is ~100 pm, and thus the low noise floor of our measurements allow us to observe the sub-atomic nature of TyM displacements down near threshold. While sound-evoked motions appear slightly compressive near SO peak frequencies, it was generally observed that level growth was close to linear. As a heuristic benchmark for a simplified "ear", we also computationally explored several related scenarios (e.g., a coupled pair of Hopf and damped harmonic oscillators). Ultimately our observations contrast predictions of the Hopf-based framework, indicating that the vertebrate ear acts in a linearistic fashion near threshold.

Speaker: Esther Sule

CAP2026 .pdf

14:15 → 15:45 (PPD) M2-9 Neutrinos | Neutrinos (PPD)

Convener: Erica Caden (SNOLAB)

14:15 Measurement of Reactor Antineutrino Oscillation at SNO+

SNO+ is a low background multi-purpose detector 2 km underground in Sudbury, Ontario. It is able to detect electron antineutrinos with energies down to 1.8 MeV via inverse beta decays. With the majority of the incoming electron antineutrino flux at SNO+ originating from three nuclear reactors 240, 350 and 355 km away, the detector is well situated to measure neutrino oscillation. In particular, it can measure the survival probability of these electron antineutrinos, which depends on so-called “long baseline” oscillation parameters, namely the mixing angle $\theta_{12}$ and the mass-squared difference $\Delta m^2_{21}$. Using 1.46 ktonne-years of data from May 2022 to July 2025, $\Delta m^2_{21} = \left(7.93_{-0.24}^{+0.21}\right) \times 10^{-5}$ eV$^2$ was measured, with a precision approaching the previous result from the KamLAND experiment $\left(7.54_{-0.18}^{+0.19}\right) \times 10^{-5}$ eV$^2$, and providing a valuable cross-check to the recent measurement by the JUNO collaboration. In addition, electron antineutrinos produced from radioactive decays inside the Earth were detected. This geoneutrino flux was simultaneously measured to be $49_{-12}^{+13}$ TNU at SNO+. The result was obtained by using a novel classifier to distinguish the positron annihilation engendered by inverse beta decays from their primary background: ($\alpha$, n)-induced proton recoils. This provides the only measurement of the geoneutrino flux in the Americas, and the third location worldwide, adding crucial data to a global calculation of the mantle’s radiogenic heat production.

Speaker: James Page (Queen's University)

Reactor_antinu_results.pdf

14:45 Spatial Reconstruction of EXO-200 Events using Deep Learning Network

The EXO-200 experiment, a 100-kg-class liquid xenon time projection chamber, operated from 2011 to 2018, in searching for neutrino-less double beta decay of 136Xe. This is a process whose observation would establish the Majorana nature of neutrinos and help constrain their absolute mass scale. Precise reconstruction of event energy and position is essential for this search. Spatial information is used to define fiducial volumes, suppress external backgrounds, and discriminate between signal-like single-site events and background multi-site interactions.
In this work, we apply and investigate use of deep learning techniques to reconstruct event position of simulated electron events from EXO-200. A deep neural network (DNN) is developed to perform reconstruction directly from electronics waveforms, i.e. raw detector quantities. While previous studies have primarily relied on gamma-ray calibration events, this analysis focuses on electron events, which more closely match the topology of double beta decay signals. The DNN performance is compared to the standard EXO-200 reconstruction methods, showing at least a factor of two improvement in spatial resolution. The results demonstrate the potential of deep learning–based reconstruction for future liquid xenon experiments such as nEXO and motivate further development for application to experimental data.

Speaker: Tanmay . (University of Windsor)

Tanmay - CAP 2026 , 22 June .pdf

15:00 Signatures of Composite Dark Matter in Bubble Chambers

This presentation will show a new analysis of bubble chamber dark matter detectors which could be used to discover composite dark matter. A bubble chamber contains a volume of superheated fluid which nucleates a bubble when enough energy is deposited in the fluid. Traditional analysis assumes that a bubble is nucleated from a single, high-energy interaction with a dark matter particle. Composite dark matter is a class of dark matter models that contain binding forces which clump dark matter particles together, similar to nuclei in atoms. If the composite binding energy is small, the composite is "loosely bound" and the constituents can individually interact with nuclei in a detector. In this scenario, weakly interacting constituents can collectively deposit a large amount of energy in a small region of a detector from a composite passing through. Bubble chambers offer a unique sensitivity to such an effect due to the macroscopic nature of bubble nucleation, as opposed to exclusive single-event discrimination. Performing a novel analysis on bubble chamber sensitivity to loosely bound composites allows for probing of weaker dark matter interaction strengths and lighter constituent masses using existing experiments.

Speaker: Alex Hayes (Queen's University)

Alex Hayes CAP Slides.pdf

15:15 Calibration of the SNO+ Scintillator Phase with an AmBe Neutron Source

The SNO+ experiment is a kilotonne-scale liquid scintillator (LS) neutrino detector located 2 km underground at SNOLAB in Sudbury, Ontario. The 780 tonnes of LS is housed inside of a 12 m diameter acrylic vessel (AV). Surrounding the AV is a 17 m diameter array of 9362 inward-looking photo-multiplier tubes which detect scintillation light produced by particle interactions in the LS. Within its broad physics program, SNO+ detects anti-neutrinos through an inverse beta decay (IBD) reaction, producing a characteristic coincidence signal that can be easily separated from most backgrounds. This allows SNO+ to make two key measurements: the determination of a subset of neutrino mixing parameters from reactor anti-neutrino oscillations, and the flux of geo-neutrinos emitted from the decay of unstable elements in the Earth. The SNO+ collaboration has recently released improved measurements for both.

An important component of the improved anti-neutrino analysis was the use of a deployed $^{241}$Am-$^{9}$Be neutron calibration source, which produces a coincidence signal similar to that of IBD reactions. Validation of the detector response to these events enabled, for the first time, the use of a novel timing-based event classifier to distinguish IBD events from a class of background delayed-coincidence events produced by $(\alpha,n)$ interactions. This talk will summarize the SNO+ AmBe calibration campaign and analysis of the calibration data.

Speaker: Anthony Allega (Queen's University)

aallega_CAP2026.pdf

15:30 Performance results of germanium high-voltage detectors tested in the Cryogenic Underground TEst facility

The Super Cryogenic Dark Matter Search (SuperCDMS) experiment aims to search for low-mass dark matter using the new generation high-voltage (HV) detector design with germanium and silicon targets. A subset of these HV detectors (four Ge and two Si) were tested in the Cryogenic Underground TEst (CUTE) facility at SNOLAB, which provided the first opportunity for an extended operation of these detectors and a comprehensive study of their performance in a low background environment similar to SuperCDMS SNOLAB. Here, I will report on analysis methods developed and results for low and high-energy calibration (sub-keV to hundreds of keV range) for the germanium detectors. We also assess the energy resolution and the performance under high voltage bias (up to 90 V).

Speaker: Ruchi Soni (Queen's University)

CAP_2026_Ge_Calibration_Soni.pdf

CAP_2026_Ge_Calibration_Soni.pptx

15:45 → 16:15 Health Break | Pause santé

16:15 → 17:30 (DAPI) M3-1 Innovations in Detectors, Imaging, and Accelerator Technologies | Innovations dans les domaines des détecteurs, de l'imagerie et des technologies d'accélération (DPAI)

Convener: Steffon Luoma

16:15 Microscopic Dust, Macroscopic Downtime: The impacts of micron sized particulates in superconducting particle accelerators.

Particle accelerators are an invention of the early 20th century that have revolutionized our understanding of the universe and pushed the boundaries of our technological capabilities. These machines not only help scientists probe fundamental physics questions, but are also pillars in many industrial and medical applications. Acceleration of charged particles can be achieved by using superconducting radiofrequency (SRF) devices known as cavities, which apply variable electromagnetic fields to particles under cryogenic conditions. A key limitation to the performance of SRF based accelerators is contamination; external particulates (aka dust) present on the cavity surface trigger field emission, a phenomenon where electrons tunnel through the cavity surface due to strong electric fields. These rogue electrons limit the beam energy delivered to users and can even saturate machine protection systems. Field emission is actively observed at the TRIUMF electron linear accelerator (e-Linac); this accelerator shows a progressive onset of field emission in its SRF cavities throughout operation, despite cavities undergoing stringent cleaning procedures prior to installation. The reliable operation of particle accelerators is critical for the scientific and industrial applications of accelerator facilities worldwide, therefore understanding this phenomenon and its root causes is imperative.

My PhD work centers around the idea that particulates are actively generated by various accelerator components during operation, and migrate into SRF cavities after installation, leading to the increased onset of field emission. The dynamics of micron scale particulates in vacuum is influenced by their electrostatic charge, and the radiation environment of a particle accelerator provides an ideal opportunity for them to gain such charge. However, fundamental parameters such as composition and charge to mass ration of these grains remain largely unknown and are unique to each accelerator environment. I will present a series of experiments performed to study the charging and lofting of micron sized particulates in vacuum using an in-vacuum particle counter. The results of these experiments will shed light on the mechanisms that drive particulate migration and inform mitigation techniques to better maintain the performance of high energy SRF based particle accelerators.

Speaker: Aveen Mahon (University of Victoria | TRIUMF)

AMahon_CAP26_presentation.pptx

16:30 Xray Ptychography at Canadian Light Source.

Ptychography is a lensless X-ray diffraction microscopy technique in which the sample is scanned at pre-defined positions collecting far-field diffraction patterns at each of these scanning positions. The diffraction patterns along with the information regarding the scan positions are then processed using iterative phase retrieval algorithms resulting in high resolution complex transmission function of the sample. Unlike techniques like transmission X-ray microscopy (TXM), Fourier transform holography (FTH) or scanning transmission X-ray microscopy (STXM), the resolution doesn't depend on the focusing optics or the reference aperture, but on the detectable signal contained in the measurable inverse space. While other parameters such as beam stability and stage accuracy play an important role, the fundamental limitation on obtainable resolution is the measurable inverse space. We have developed extensive ptychography derived 2D, 3D imaging capabilities at CLS. We can conduct Ptychography and Ptycho-Tomography at SM in the soft X-ray regime. We have demonstrated first ever hard X-ray ptychographic imaging in Canada by establishing this experiment at BXDS-IVU beamline, we are currently pushing this into the 3rd dimension. I will report on various details leading up to this exciting experimental capability at Canadian Light Source.

Speaker: Venkata Sree Charan Kuppili (Canadian Light Source)

16:45 Cold Noise Mechanism in ATLAS ITk Strip Modules

The ATLAS collaboration is currently preparing to replace the present Inner Detector with the upgraded Inner Tracker (ITk) for Run-IV of the Large Hadron Collider (LHC). In 2022, modules for the central strip tracker were found to have clusters of electrical noise outside specifications when tested at normal operating temperatures (-35°C), dubbed “Cold Noise”. The cause of Cold Noise lies in the interactions of vibrating electronic components with material interfaces and glue chemistry, which requires detailed understanding of all the involved systems that make up an ITk module. Thus, the study of Cold Noise involves topics spanning electronics, mechanics and solid state physics which are applied in parallel. This work probes complex interfacial interactions that can generate electrical signals, effects that are readily picked up by the high sensitivity of modern sensors, acting as a new and unexpected source of noise. This talk presents an overview of our current understanding of the Cold Noise mechanism with recent results focused on surface charge generation, readout, glue properties and structural analysis.

Speaker: Richard Oyeremi Salami (Simon Fraser University (CA))

17:00 New or Improved? Critical build decisions in the ATLAS ITk Strip End-Cap

The High-Luminosity Large Hadron Collider is set to come online in 2030, producing more than three times the data than its current rate. As such, the ATLAS detector will need to replace its Inner Detector with the Inner Tracker, a full-silicon system. Canada is responsible for building and testing 22% of the strip end-cap subdetector, due to be installed at CERN in 2028.

In 2024, as the production phase was scheduled to begin, the ATLAS Inner Tracker discovered a major reliability problem, where a discrepancy in material coefficients led to cracked sensors when cooled down to operating temperatures. The following analysis, based on experimental and simulated data, yielded two possible solutions: a major design change providing a large safety margin and a minor design change providing a smaller safety margin. In early 2025, due to time constraints and low availability of prototypes, decisions were made based on a limited data set. Now, a year later, multiple parts have been assembled and more information is available.

This talk will outline the two approaches under consideration, the decision process used to choose a final design and how the situation has evolved since then.

Speaker: Emily Filmer (TRIUMF (CA))

New or Improved_ Critical build decisions in the ATLAS ITk Strip End-Cap.pdf

17:15 Silicon Pixel Detectors for the MOLLER Experiment

The MOLLER Experiment at Jefferson Lab, Virginia, will utilize parity-violating electron scattering to measure the asymmetry in Moller scattering, and extract the weak mixing angle with unprecedented precision. The predicted asymmetry is ~33 parts per billion, with a target uncertainly of 0.8 ppb, corresponding to a 2.4% determination of the electron’s weak charge and a projected precision of δ(sin^2 (θ_W) ) = ±0.00028. This measurement will provide a stringent test of the Standard Model while offering sensitivity to new neutral current interactions at the Multi-TeV scale, making MOLLER a powerful probe of physics beyond the Standard Model.

To support these precision goals, pixel detectors based on High Voltage Monolithic Active Pixel Sensors (HV-MAPS) are being integrated into two key MOLLER subsystems. Each silicon sensor has an active area of ~20 x 20 mm^2. With pixel sizes of ~80 x 80 microns and thicknesses as low as 50 microns, they provide fine spatial resolution with minimal material for unwanted scattering. Operation at high bias voltages enable fast charge collection by drift, allowing high detection rates in high-rate environments like MOLLER.

A family of HV-MAPS (known as MuPix) will be implemented in two detector subsystems for MOLLER. In the Compton Polarimeter, planes of pixel detectors will provide tracking and profile measurements to support precise beam polarization monitoring. For the Main Integrating Detector, the planes are installed behind a subset of the overall Cherenkov detector modules, and operate as profile detectors, measuring the spatial distribution of scattered electrons across the detector array. These measurements provide critical input for alignment, acceptance studies, and control for systematic effects in the asymmetry extraction.

This work demonstrates the implementation of these pixel sensors in both subsystems, including the design and analysis of mounting and cooling structures under projected operating conditions. The talk will also cover the development of the readout architecture, which utilizes the low-power GigaBit Transceiver (lpGBT) and VTRx+ optical transceiver at its core for high-speed communication with these chip arrays. A specialized pick-and-place system is being developed for high precision sensor assembly during detector module construction.

Speaker: Dr Mohammad Laheji (University of Manitoba)

16:15 → 17:30 (DPMB) M3-10 Optical Technologies for Health Monitoring and Intervention | Technologies optiques pour la surveillance et l'intervention en matière de santé (DPMB)

Convener: Christopher Rowley (McMaster University)

16:15 Optical Biomodulation Without Optogenetics

Cellular behaviour modulation has traditionally been studied through genetic and epigenetic manipulation. However, non-genetic approaches to control behaviour remain mostly underexplored. We demonstrate here, for the first time, the use of membrane-incorporated molecular photo switches, in the form of azobenzene-cholesterol derivatives, to optically control cellular behavioural processes in the immotile algal dinoflagellate Pyrocystis fusiformis (P. fusiformis). P. fusiformis produces bioluminescence when activated by shear stress imposed on the outer plasma membrane. This unique property, combined with the ease of culturing, makes P. fusiformis the ideal model cellular organism for our study. Previously, azobenzene derivatives (photo switches), which change molecular conformation (isomerization) upon irradiation at specific absorption wavelengths, have been shown to localize to the plasma membranes of human red blood cells and alter their membrane morphology. Analogously, we aim to use optical stimulation to induce isomerization of membrane-integrated photo switches to induce bioluminescence in P. fusiformis by generating optically derived mechanical shear stress on the outer plasma membrane. This discovery would constitute a novel approach to altering cellular behaviour without genetic or epigenetic manipulation. We will show first stages in demonstrating proof of concept of this novel optical bio-modulation method including demonstration of localization of photo switches to the membranes of P. fusiformis cells and light directed motion of an immotile P. fusiformis cell upon irradiation at the isomerization wavelength of the localized photo switch at λ = 365 nm. This phenomenon constitutes a new method for optical steering of biological cells and has broad applicability in pharmaceutics and biomodulation.

Speaker: Seyed Masoumi Lari (York University)

16:30 Towards Non-invasive Assessment of Tissue Stiffness Using Diffuse Correlation and Time-resolved Near-infrared Spectroscopy

Introduction: Brain tissue stiffness has emerged as a promising biomarker for early diagnosis of neurodegenerative changes. Diffuse Correlation Spectroscopy (DCS) has the potential to estimate tissue stiffness non-invasively, as the decorrelation time of scattered light speckles (Tau 2) correlates with Young’s Modulus. While decorrelation time is dominated by dynamic scatterers, Tau 2 in tissue still decorrelates from photon pathlength divergence induced by scattering. However, this relationship is likely influenced by more than one physical parameter. More specifically, Tau 2 is also dependent on tissue scattering coefficient (μ_s^'), which is influenced by density and size of microstructures and can be measured with time-resolved near-infrared spectroscopy (trNIRS). We hypothesize that changes in μ_s^' also alter Tau 2 independent of variations in tissue stiffness. The objective of this study is to investigate the relationship between Tau 2 and μ_s^', using Intralipid (IL) phantoms to mimic varying degrees of tissue scattering while stiffness remains constant.

Methods: The phantoms were prepared by mixing increasing concentrations of IL in distilled water (0.5% to 1.5% in steps of 0.1%). For DCS measurements, a 785-nm, long-coherence length laser was used for emission, and a single-photon counting module was used for detection. Measurements for trNIRS were acquired (760 nm) using a commercial system (PIONIRS). A constrained optimization routine was used to estimate Tau 2 from the intensity autocorrelation function measured with DCS and μ_s^' was measured from the distribution of times-of-flight measured with trNIRS, using an analytical model light propagation in turbid media.

Results: As IL concentration increased, Tau 2 and μ_s^' exhibited negative correlation, with μ_s^' increasing as Tau 2 decreased. R2 of 0.733 demonstrated changes in Tau 2 are strongly correlated with μ_s^'.

Conclusion: The preliminary findings of this study show a quantitative relationship between Tau 2 from DCS and μ_s^' from trNIRS. Therefore, optical assessment of tissue stiffness requires both measurements with DCS and trNIRS to provide a potential non-invasive tool for early detection of neurodegenerative diseases. Immediate future work will investigate the relationship between Tau 2, μ_s^', and Young’s Modulus in solid phantoms, mimicking variations in both scattering and stiffness.

Speaker: Emma Zhang

Abstract_CAP.pdf

submission_tau2_musp.png

16:45 Characterization of Radiochromic PCDA Formulations for Real-time Photon and Proton Dosimetry

Pentacosa-10,12-diynoic acid (PCDA) and its Li salts are used in clinical radiotherapy across a broad range of modalities. The underlying chemical and structural characteristics of these materials however remain poorly understood within the medical physics community. In this work we systematically evaluate the real-time dosimetric performance of three PCDA-based radiochromic formulations, including two commercial analogues, and one novel formulation we developed, under high energy photon (6 and 10 MV) and proton (74 MeV) irradiation. Formulations were coated on polyethylene substrates and irradiated using custom fibre-optic setups enabling real-time transmission measurements at 1-2.5 cm depth. Two distinct absorbance peak positions, centered at ~635 nm ~ 674 nm, were observed as function of lithium molar ratio, introduced during formulation. The novel Li salt of PCDA (674LiPCDA) exhibited non-linear dose response resembling commercial EBT-3, while displaying plate like morphology like PCDA. Results of lithium incorporation demonstrated overall enhancement in apparent dose sensitivity relative to PCDA; however, 674LiPCDA, which has a higher lithium molar ratio compared to its commercial analogue 635LiPCDA, had a 68 ± 2 % lower apparent sensitivity at 25 Gy. All formulations exhibited reduced apparent sensitivity under proton irradiation relative to photons, consistent with LET-dependent quenching effects observed in commercial radiochromic films. Elemental analysis revealed consistent elemental composition for 635LiPCDA and 674LiPCDA, with nearly identical lithium content (1.66% and 1.69%, respectively). ATR-FTIR spectroscopy revealed the absence of the O-H stretching in 674LiPCDA, indicating that, unlike 635LiPCDA, the material is anhydrous and that the hydration plays a significant role in dose response. These results demonstrate that radiochromic dose response is governed by a complex interplay of small-molecule incorporation and chemical composition. This study establishes a framework for the controlled generation of radiochromic dosimeters, paving the way for broad-use, real-time in vivo dosimeter technologies to improve patient outcomes in radiotherapy.

Speaker: Rohith Kaiyum

17:00 Development and Validation of a Wearable, Low-Cost Near-Infrared Spectroscopy System for Cerebral Hemodynamic Monitoring

Access to brain monitoring technologies remains a critical need in low-income countries, where neonatal brain injury contributes substantially to permanent neurological impairment and mortality. To address this challenge, we introduced a low-cost, wearable near-infrared spectroscopy (NIRS) device developed by repurposing a commercially available optical biosensing evaluation module (MAXM86146EVSYS, Maxim Integrated). The device is battery-powered, wireless, compact, and provides enhanced depth sensitivity for measuring cerebral oxygenation in both neonatal and adult humans. This approach eliminates the need for custom hardware, allowing end users with minimal engineering expertise to reproduce the system while preserving robust signal quality.
System performance was characterized through long-term stability testing and layered blood-phantom experiments. The capability of the device to monitor cerebral hemodynamics in adults was further evaluated in humans using carotid compression and hypercapnia challenges. Performance testing demonstrated stable operation with less than 1% signal drift over nearly four hours of continuous use. Two-layer blood phantom experiments showed enhanced depth sensitivity and the ability to detect deep-layer oxygenation changes beneath a 15 mm superficial layer, representative of adult extracerebral tissues. In vivo experiments produced expected cerebral hemodynamic and oxygenation responses, confirming sensitivity to physiologically relevant changes in cerebral tissue oxygenation. In addition, robustness across diverse skin pigmentation levels was evaluated in adults, demonstrating preserved physiological pulsatility despite reduced detected intensity at higher pigmentation levels.
These results demonstrate the feasibility of adapting a commercially available optical biosensing module into a reliable NIRS-based cerebral oximeter, offering a practical solution for neonatal brain monitoring in low-resource environments. The device can be reproduced with minimal technical skills by replacing the factory-installed LEDs and mounting the module within a 3D-printed probe.
This study was supported by Western University under the Frugal Biomedical Innovations program, NSERC Discovery Grants (RGPIN-2023-05561), and (RGPIN-2020-06856).

Speaker: Saeed Samaei (University of Western Ontario)

17:15 The effect of skin tone on the sensitivity of infrared optical technologies

Melanin pigment determines skin tone, where darker skin tones contain higher levels of melanin content. To examine the sensitivity of infrared optical technologies as a function of skin tone, 5 commercial pulse and cerebral oximeters were investigated on participants with varying skin tone (Brands: Masimo MightySat™, Blue Echo Care™, ToronTek-G64™, Apple Watch Series 10™, and NIRSport2™). The participants’ skin tones were determined by objectively measuring melanin content using a reflectance spectrophotometer, with skin tones ranging from Type I (Very Light) to Type VI (Dark) based on the Individual Typology Angle. Blood oxygen saturation (SpO2, %) and heart rate (HR, bpm) were measured before and after walking on a treadmill, to induce hypoxemia (SpO2 < 95 %). The gold standard pulse oximeter that is commonly used in clinical settings (Masimo MightySat™, wavelengths 660 nm and 940 nm, variable power), recorded a 5 % reduction in SpO2 and an increase in HR of 70 bpm across participants of all skin tones. Sensitivity measurements of the Apple Watch Series 10™ showed no change in SpO2 compared to the gold standard, across all participants. Compared to the gold standard, this device uses one of its wavelengths at 523 nm which is absorbed more by melanin and water compared to 660 nm wavelength, leading to poor device sensitivity. For participants with darker (Type 6) skin tone, the Blue Echo Care™ and ToronTek-G64™ pulse oximeters were not sensitive, showing no change in SpO2. Despite both pulse oximeters using similar wavelengths as the Masimo MightySat™, the low static power of the devices’ LEDs could explain their poor sensitivity for the darkest skin type. The cerebral oximeter generally measured a 1–2 % reduction in brain oxygen saturation across participants with skin tone types 1–5, and 0.5 % reduction for participants with the darkest Type 6 skin tone. These findings provide evidence for the potential for skin tone bias in the sensitivity of many infrared devices, which industry manufacturers need to be aware of. Future research will attempt to optimize near infrared device engineering in order to calibrate and correct for variations in individuals’ skin tone, toward personalized medicine and consumer products.

Speaker: Dr Kayrel Edwards (York University, Department of Physics and Astronomy)

16:15 → 17:30 (PPD) M3-11 Colliders | Collisionneurs (PPD)

Convener: Laura Miller (TRIUMF)

16:15 Development of an ATLAS Run 3 Search for Magnetic Monopoles in p-p Collisions

Magnetic monopoles remain a highly motivated yet experimentally elusive exotic particle. Point-like Dirac monopoles, along with other High-Electric-Charge Objects, could be produced in proton-proton collisions at the Large Hadron Collider and would generate a characteristic highly ionizing signature within the ATLAS detector. Building on a previous Run 2 analysis, I will present plans for a new ATLAS Run 3 search using a machine learning technique incorporating several additional detector-level quantities. Preliminary results suggest that this approach achieves more robust background separation and estimation, maximizing potential for the discovery of magnetic monopoles at the LHC.

Speaker: Justin Kerr (York University (CA))

16:30 Oscillating Pseudo-Dirac Gauginos: A New Twist on Leptogenesis and Neutrino Masses

In a $U(1)_{R-L}$-symmetric supersymmetric model, pseudo-Dirac bino and wino can act like right-handed neutrinos, generating the light neutrino masses through a hybrid Type I + III inverse seesaw mechanism. We investigate such a model to accommodate the baryon asymmetry of the universe together with neutrino masses. A pseudo-Dirac gaugino goes under particle-antiparticle oscillations. Possible $CP$ violation in bino decays, induced by mixing with the neutrinos, can be enhanced in bino--antibino oscillations. Focusing on a long-lived bino, we show that its oscillations and decays can generate the observed baryon asymmetry while the wino is responsible for generating the neutrino masses. This mechanism requires a decoupled mass spectrum with a bino of mass $M_{\widetilde{B}}\sim O({\rm TeV})$ and sfermions with mass $M_{\rm sf}\gtrsim 25$ TeV. Furthermore, for the bino to decay out-of-equilibrium before the electroweak sphalerons turn off, the messenger scale needs to be $\Lambda_M \sim O(10^7~ {\rm TeV})$. We discuss displaced-vertex signals at the LHC arising from such a high messenger scale.

Speaker: Cem Murat Ayber (Carleton University)

C.Ayber-leptogenesisCAP.pdf

16:45 Forward Jets with the ATLAS Detector: A Mismodeling Mystery

The ATLAS detector, located at the CERN laboratory, measures the products of high energy proton-proton and heavy-ion collisions produced by the Large Hadron Collider (LHC). Given the high collision energy of 13.6 TeV produced by the LHC, the ATLAS detector is a prime location to study fundamental interactions of the universe. To help search for these phenomena, the ATLAS Collaboration uses a series of simulations of events identified with the detector. This simulated data can be used to predict the outcome of real data measurements and is therefore useful in the design of physics analysis. This methodology, however, can fall short if the simulation greatly mismodels the real data. For the simulation of the 2022-2026 run of the LHC, a major discrepancy was identified with the prediction of jets in the forward region of the detector. It was found that the models only predicted about half as many jets than were observed with the data taken. This differs greatly from the prediction of the 2015-2018 run, which showed a reasonable agreement with data. This under prediction is a notable issue as forward jets can be an important signature of certain events of interest. For example, the electroweak production of Z bosons at the LHC is a prominent signature that includes the production of two forward jets (EW Zjj). A lack of precision in the predicted observation of this identifying feature may lead to a decreased precision measurement of this production. This talk will examine the studies that have been performed to identify the source of the mismodeling and how it impacts analyses sensitive to forward jets, such as the EW Zjj analysis using data from both the 2015-2018 and 2022-2026 runs of the LHC.

Speaker: Owen Darragh (Carleton University (CA))

Owen_Darragh_CAP_slides-1.pdf

17:00 Searching for soft unclustered energy patterns with the ATLAS detector

Soft Unclustered Energy Patterns (SUEPs) are an unconventional signature that can arise in hidden-sector models with approximately conformal dynamics. Unlike traditional new physics signals, SUEP events are dominated by high particle multiplicities, low individual transverse momenta, and nearly isotropic energy flow, making them challenging to identify using standard reconstruction and analysis techniques at the Large Hadron Collider (LHC).

Previous experimental studies have begun to explore the phenomenology of SUEP-like signatures. In particular, the CMS Collaboration has performed a search targeting SUEP topologies using hadronic final states, demonstrating the feasibility of dedicated reconstruction strategies for diffuse, soft events. Complementary efforts within the ATLAS Collaboration also investigate SUEP scenarios with a focus on muonic final states, highlighting alternative experimental handles on hidden-sector dynamics.

This talk presents an ongoing analysis to characterize hadronic final state SUEP signatures in proton–proton collisions at √s =13 TeV using the ATLAS detector. A description of ongoing efforts will be presented, which aim to refine experimental tools for identifying SUEP signatures and to broaden the sensitivity of LHC searches to non-traditional manifestations of physics beyond the Standard Model.

Speaker: William Rettie (Carleton University (CA))

CAP_Congress_2026.pdf

16:15 → 17:30 (DTP) M3-2 Modified Gravity and Cosmology | Gravité modifiée et cosmologie (DPT)

Convener: Prof. Hari Kunduri (McMaster University, Mathematics and Physics)

16:15 Compact Objects in regularized 4D Einstein-Gauss-Bonnet Gravity

Since the derivation of a well-defined $D\rightarrow 4$ limit for 4 dimensional Einstein Gauss-Bonnet (4DEGB) gravity coupled to a scalar field, there has been considerable interest in testing it as an alternative to Einstein's general theory of relativity. Using the Tolman-Oppenheimer-Volkoff (TOV) equations modified for charge and 4DEGB gravity, we model the stellar structure of neutron stars, strongly interacting quark stars, and charged, non-interacting quark stars. We find that increasing the Gauss-Bonnet coupling constant $\alpha$, the strong interaction parameter $\lambda$, or the charge $Q$ all tend to increase the mass-radius profiles of quark stars described by this theory, allowing a given central pressure to support larger quark stars in general. These solutions sets are consistent with recent astrophysical data that has been difficult to describe with standard general relativity (GR) and typical neutron star equations of state. We also discuss the lack of a mass gap in 4DEGB gravity derive a generalization of the Buchdahl bound for charged stars in the theory. In all cases, we find that quark stars can exist below the general relativistic Buchdahl bound (BB) and Schwarzschild radius $R=2M$, due to the lack of a mass gap between black holes and compact stars in the 4DEGB theory. Even for $\alpha$ well within current observational constraints, we find that compact star solutions in this theory can also describe Extreme Compact Charged Objects (ECCOs), objects whose radii are smaller than what is allowed by general relativity.

Speaker: Michael Gammon (University of Waterloo)

16:30 Accelerating Black Holes in 3D Einstein-Gauss-Bonnet Gravity

We present a class of exact analytical solutions of the Einstein-Gauss-Bonnet gravity in 2+1 dimensions. This solution is obtained by imposing restrictive conditions on the field equations. In particular, the modified gravity metric in Cartesian coordinates equals the C-metric multiplied by a factor which, along with the massless scalar field, depends purely on a single variable. In the zero coupling limit, this general class of solutions not only remains well defined and recovers the C-metric, but also encompasses two classes of previously unknown representations of the AdS spacetime. Furthermore, we establish the existence of a domain wall and inspect the energy conditions along it.

Speaker: Cendikiawan Suryaatmadja (University of Waterloo)

16:45 Thermal Origin of the Attractor-to-General-Relativity in Scalar-Tensor Gravity

Whether scalar-tensor gravity approaches general relativity or departs from it (e.g, in the early universe) can be described using an analogy with heat dissipation in a viscous fluid. We apply this thermal analogy to cosmology. As a result, we understand why gravity can deviate from general relativity in the early universe and approaches it later in the cosmic history, as originally proposed by Damour and Nordtvedt in the 1990s.
[Based on V.F. & A. Giusti 2025, Phys. Rev. Lett. 134, 211406]

Speaker: Valerio Faraoni

Faraoni_talk.pdf

17:00 Additional Novel Cosmological Models

At the 2025 CAP meeting, a vacuum (Riemann-flat) exact cosmological solution with the novel feature of being essentially independent of the precise functional form of the cosmological scale factor was presented and discussed. Here, the cases in which the cosmological constant is non-zero and matter in the form of pressureless dust acts as a gravitational source are considered.

Speaker: Patrick Kelly (University of Mary)

MoreSolns.pdf

16:15 → 17:30 (DAMOPC) M3-3 Ultrafast Phenomena (fs) | Phénomènes ultrarapides (fs) (DPAMPC)

Convener: Andre Staudte

16:15 Reconstructing Femtosecond Laser Pulses with Femtojoule Pulse Energies

In the past few decades ultrafast laser physics has blossomed into a mature field, as seen by the Nobel Prizes awarded for chirped pulse amplification (2018) and high-harmonic generation (2023). With the realization of light pulses on the order of a few optical cycles comes an increasing demand for suitable pulse measurement techniques. Since the 1990s, Frequency-Resolved Optical Gating (FROG) has gone through numerous iterations and has become the standard method for ultrashort pulse reconstruction.
To reconstruct pulses with femtojoule-level energies and/or bandwidths approaching or exceeding an octave, cross-correlation FROG (XFROG) variations are particularly useful. A common approach to XFROG, OPA-XFROG (Optical Parametric Amplifier XFROG) records the spectrally resolved output of an optical parametric amplifier versus gate delay and uses the XFROG algorithm to retrieve the intensity and phase of the unknown pulse.
We introduce KICKING FROG (Kerr-Instability amplification Cross-correlation Induced Nonlinear Generation FROG), which replaces OPA with Kerr-instability amplification to extend XFROG characterization to pulses with broader bandwidths. Compared to OPA-XFROG, KICKING FROG offers greater bandwidth, tunability, and reduced cost, making it well-suited for broadband visible-pulse characterization.
Kerr-instability amplification (KIA) is a nonlinear optical process extending four-wave mixing to extreme intensities, where two pump photons are destroyed to amplify a seed and create an idler (2ω_p=ω_s+ω_i). Conservation of energy and momentum dictate non-collinear intensity-dependent phase matching. KIA can exceed the bandwidth and tunability of OPA and NOPA systems while enabling the use of any χ^3 (Kerr) medium rather than the rarer χ^2 materials required for OPA. In addition, Kerr polarization rotation enables background-free signal generation, further improving sensitivity for weak-pulse reconstruction down to the femtojoule regime. We will discuss applications of broadband background-free amplification for spectroscopy.

Fig. 1: Spectrogram generated from KICKING FROG. The seed is generated by supercontinuum generation in sapphire. We scan the pump-seed delay and record the spectrogram of the amplified pulse. We reconstruct the seed and pump pulses using our XFROG algorithm.

Speaker: Nathan Drouillard

Figure for abstract smaller fonts.svg

16:30 Ultrahigh-bandwidth quantum random-number generation using bright squeezed vacuum

Synopsis We utilize TIPTOE to directly sample the field of femtosecond bright squeezed vacuum. By resolving the bi-phase nature of the carrier wave, we generate random bit sequences. We perform a full temporal-modal analysis which will allow for random bit generation at PHz rates.

In the last decade, all-optical techniques have been introduced as prospects for quantum random number generators (QRNGs) [1,2]. Such techniques rely on the bi-phase output of a degenerate optical parametric oscillator. Unfortunately, the generation rate of such schemes is limited by the cavity decay time [1]. Here, we use a double-pass parametric down-conversion (PDC) scheme and field sampling of bright squeezed vacuum (BSV) to bypass the need of a cavity.

We utilize tunneling ionization with a perturbation for the time-domain observation of an electric field (TIPTOE) [3] to resolve the field of a femtosecond squeezed vacuum beam. We measure changes in two-photon excitation rate in a Si-based CMOS camera induced by the coherent combination of a pump and a BSV field. We perform a full temporal-modal analysis using spectral embedding and find both one-mode and two-mode emission. We extract the carrier-envelope phase (CEP) of BSV shots with a single temporal mode, and find that it exhibits the expected bimodal phase distribution, whereby the phase is locked to that of the pump, apart from a sign. We binarize this phase distribution, assigning bit values 0 or 1 (see Fig. 1b).

Finally, we run a variety of NIST-compliant tests to certify our generated bit sequences. By assigning one bit per temporal mode, this scheme will allow for PHz-rate QRNG.

References
[1] Opt. Express 20, 19322-19330 (2012)
[2] Science 381, 205-209 (2023)
[3] Optica 5, 402-408 (2018)

Speaker: Michael Weil (University of Ottawa)

CAP_congress_2026_abstract_Michael_Weil.pdf

16:45 Understanding Shot Noise Reduction in Optical Parametric Amplifiers

Amplitude-squeezed light provides an opportunity for reducing the shot noise inherent to classical light sources, in turn improving the signal-to-noise ratio. Such amplitude-squeezed states could allow for the use of Stimulated Raman Scattering (SRS) microscopy to be used for imaging light-sensitive samples. These samples could otherwise be damaged due to the intensity needed for using SRS microscopy with classical light sources. However, practical implementation of using amplitude squeezing for ultrafast laser pulses requires significant development and investigation.

One method to produce squeezed states is through an optical parametric amplifier (OPA). We have developed a novel numerical technique that accurately models the generation of multimode squeezed states in an OPA, including the change in intensity and the quantum fluctuations of the pump pulse. Our method allows us to simulate the spatial-temporal interactions in three physical dimensions. This permits us to determine the full three-dimensional structure of the squeezed pulse, a vital step for predicting image formation inside of a microscope. It is useful for determining properties of the light which will be used as input for the microscope, and to optimize input parameters for ideal pulse shape and level of squeezing of the quantum light source itself.

We explore the generation of squeezed coherent states for reducing shot noise for applications in nonlinear optical microscopy, such as mineralogical sampling. In particular, we present practical limitations of shot noise reduction due to the phase sensitivity of OPAs. Results for two-dimensional simulations demonstrate how the level of squeezing and the pulses’ intensities depend on the pulses’ input phases and beam widths, among several variables. We show that the quantum aspects of light, such as the level of squeezing, are much more sensitive to phase than classical variables, such as gain or loss. We further explore these effects in three dimensions.

Speaker: Mitchel Morrison (University of Ottawa)

17:00 Ultrabroadband fluorescence-detected two-dimensional electronic spectroscopy

Two-dimensional electronic spectroscopy (2DES) has proven to be a powerful tool for studying electronic structure and ultrafast dynamics in a wide range of systems, including natural and artificial light-harvesting complexes, solar cells, molecular systems, quantum dots, and polymers. Fluorescence-detected 2DES (F-2DES) has been shown to provide complementary information to its coherently detected counterpart and easy integration with a microscope for spatially-resolved measurements. To date, the bandwidth of many 2DES and F-2DES methods has been limited by various aspects of their experimental implementation, such as pulse shapers and acousto-optic modulators (AOMs). We will present a rapid-scanning approach to F-2DES that does not rely on such implementations and thus allows broadband implementation. Building on recent work, this approach uses the velocities of the time-delay stages to shift the signals of interest above the 1/f laser noise and interferometrically track the time delays to enable the correction of spectral phase distortions. Isolation of various signal contributions is achieved directly via analysis of the collected time-domain data. Removing the need for AOMs or pulse shapers enables reduced dispersion in the setup, increases the power throughput, and allows one to measure broadband 2D spectra within the fraction of the time compared to established 2D setups. We will demonstrate this method on a laser dye using a broadband continuum light source.

Speaker: Benjamin den Otter-Versteeg (Department of Physics, University of Ottawa)

17:15 Inline squeezing with ultrafast time-bin encoding

Squeezed states of light are a fundamental resource in photonic-based quantum technologies, enabling the generation and manipulation of non-classical states of light required for universal quantum protocols. A central challenge in realizing robust non-classical states is achieving sufficiently high squeezing while preserving high purity and fidelity. To address this challenge, inline squeezing has been proposed as a compact method for high squeezed states while preserving spectral purity. In this scheme, a Two-Mode Squeezed Vacuum (TMSV) state is first generated by driving a non-linear medium with a pump pulse. The output modes of the first crystal (signal, idler, pump) are arranged in such a way to match the input modes of the second crystal, undergoing parametric amplification in the second non-linear medium. By coherently amplifying an existing squeezed state rather than simply increasing the pump power to achieve the same squeezing parameter, inline squeezing enables a more versatile way of generating high squeezed states.

Here we demonstrate the generation of in-line squeezing using an ultrafast time-bin encoding approach. This is achieved by employing two cascaded Periodically Poled Potassium Titanyl Phosphate (ppKTP) crystals with orthogonal fast axes, enabling sequential nonlinear interaction within a single spatial mode. Two pump pulses with perpendicular polarization are first generated in distinct time bins, where the temporal delay between them is introduced using a birefringent crystal. This delay is chosen to match the group velocity walk off introduced by a single ppKTP crystal. By manipulating the time bins in this manner, both pump pulses temporally overlap upon exiting the first crystal, as shown in Fig. 1, enabling phase-coherent parametric amplification of the TMSV generated in the first crystal within the second crystal. We characterized our inline squeezer using state of the art detectors such as Super Conducting Nanowire Single-Photon Detector and Transition Edge Sensors.

Speaker: Jonathan Baker (1.National Research Council of Canada, 100 Sussex Drive, Ottawa, Ontario, K1A 0R6, Canada 2.Departement of Physics, University of Ottawa, Advanced Research Complex, 25 Templeton Street, Ottawa ON, K1N 6N5, Canada)

Inline_squeezing_scheme.jpg

16:15 → 17:30 (DCMMP) M3-4 Hard Matter 3: Phonons and More | Matière dure 3: Les phonons et bien plus encore (DPMCM)

Convener: Bruce D Gaulin (McMaster University)

16:15 Chiral Phonons at Simple Cubic (111) Surfaces

Chiral phonons are found in crystalline materials that break inversion symmetry or time-reversal symmetry such as the honeycomb lattice. The simple cubic lattice does not satisfy these constraints, but the (111) surface of a simple cubic can be made to do so under certain conditions. We discuss a method to break the symmetry of the simple cubic lattice, and enable the emergence of surface-confined chiral phonons corresponding with high symmetry points in the Brillouin Zone. We conclude by examining the surprisingly complex motion of the chiral phonons across a multi-layer crystal.

Speaker: Brennan Cornell (Trent University)

CAP_Congress_2026_Chiral_Phonons_Brennan_Cornell.pptx

16:30 Phonons Below 40 meV in a Series of 214 Cuprate Superconductors at the 1/8 Hole Doping Anomaly, where Superconducting Tc Caries from 3 K to 27 K

The La2-x-yNdy=0.4Srx=0.125CuO4 (Nd-LSCO) system is one of three 214 families of quasi-two dimensional cuprate superconductors which has been tuned to 1/8 hole doping. At this doping, the three dimensional superconducting transition temperature, Tc, is strongly suppressed compared to hole doping concentrations near x=0.125 in Nd-LSCO. A similar “1/8 anomaly” describes the superconducting phase diagram in La2-xBax=0.125CuO4 (LBCO) while that in La2-xSrx=0.125CuO4 (LSCO) is only minimally suppressed compared to hole doping concentrations near x=0.125. This has allowed us to grow a series of single crystals of the form La2-x-yNdySrx=0.125CuO4 where the Nd concentration is varied from y=0 (LSCO) to y=0.4 (0.4 Nd-LSCO) such that the superconducting Tc varies by almost a factor of 10, all at the same hole doping (x=0.125). We have carried out a series of time-of-flight neutron spectroscopic measurements on the ARCS spectrometer at SNS, Oak Ridge National Laboratory, which map out four-dimensional (Q and ω) phonon and spin excitations as a function of temperatures for large single crystal samples of 0.4 Nd-LSCO, 0.2 Nd-LSCO and LSCO. This presentation will mostly focus on the systematics of the variation in the phonons below ~ 40 meV in these materials. The most striking result is the clear emergence of sharp phonon mode near the (π,π) position in the basal plane reciprocal space and 19 meV, which correlates strongly with Tc, being strong for La2-xSrx=0.125CuO4 (LSCO) with Tc ~ 27 K, but weak for La2-yNdy=0.4Srx=0.125CuO4 (0.4 Nd-LSCO) where Tc ~ 3 K.

Speaker: Xinran Liu (McMaster University)

CAP_Xinran_L.pptx

16:45 Tracking Coherent Phonon Dynamics in a Quantum Material with High Harmonic Spectroscopy

High harmonic spectroscopy (HHS) has emerged as a powerful all-optical probe of ultrafast electronic and lattice dynamics in solids. I will present how time-resolved HHS can be used to study coherently driven phonons in the type-II Weyl semimetal WTe$_2$. Following ultrafast near-infrared excitation, coherently launched lattice oscillations modulate the electronic band structure and, in turn, leave distinct fingerprints in the high harmonic radiation that is emitted under intense mid-infrared driving. These phonon-induced modulations of the harmonic yield provide femtosecond-resolved, momentum-dependent insight into electron–phonon coupling and nonequilibrium band dynamics. Our results establish HHS as a sensitive spectroscopic tool for tracking ultrafast lattice-driven electronic structure changes in quantum materials.

Speaker: Vedran Jelic (National Research Council Canada)

17:00 Visualization of Defect Electronic states in Layered Semiconductor CrSBr

Chromium sulfur bromide (CrSBr) is a 2D magnetic semiconducting material with a rectangular lattice that has attracted a lot of attention in recent years as it combines a rich magnetic phase diagram with axis-dependent electronic and optical properties. The presence of defects in CrSBr is believed to be connected to the details of the magnetic order and excitonic responses, yet their nature, structure and electronic properties are not fully understood. In this work, we use scanning tunneling microscopy/spectroscopy to study the defect density of CrSBr crystals. We observe two types of defects, whose electronic structure is most prominent near the edge of the CrSBr valence band, and have similar symmetries to the underlying lattice. Using density of states maps, we visualize the spatial extent of the defect-induced electronic states in CrSBr. In addition, by increasing the bias applied through STM, we observe structural changes in close proximity to defects, leading to a potential avenue for defect engineering in CrSBr.

Speaker: Jonathan Brunette (University of Ottawa)

17:15 Effects of large strain gradient in ferroelectrics and multiferroics on their local polarization and magnetization field profiles, as well as on their magnetoelectric coupling

Ferroelectrics and multiferroics have been widely recognized to play a significant role in next generation energy-efficient electronics, spintronics, and computing technologies, particularly in the fields of non-volatile information storage, sensing, actuation, and in-memory computing. Whilst ferroelectrics are well utilized today in piezoelectric actuators and sensors, RF/SAW filters, ultrasound transducers, and energy harvesters, they still require optimizations and improvements in reliability, retention, scaling, and CMOS compatibility. On the other hand, multiferroics, with their unique coupling of electrical and magnetic orders, represent opportunities for massive downscaling in energy consumption through electrical control of magnetic states, enabling applications for low-power computing. However, in addition to the challenges faced by ferroelectrics, multiferroics are further plagued by weak room-temperature magnetoelectric coefficient, low net magnetization, high switching fields, and complex heterostructure integration constraints.
Here, we propose a novel material system architecture in which polarization and magnetization field profiles in ferroelectrics and multiferroics are intentionally engineered via techniques such as induced strain gradients modifying the strengths of their localized coupling coefficients. Upon application of an electric field, these gradients in-turn generate in-plane polarization and magnetization gradients, where the dependence on the intrinsic coupling parameter itself is greatly reduced and transferred to the deterministic gradient profile. Well-controlled engineered local gradients offer reliability, scaling, as well as, if strongly affecting the local symmetry, could produce large effective output coupling, offering an alternate pathway to design device architecture based on these materials, mitigating the problems that plague the undisturbed material, which were stated before.

Speaker: Vinayak Venkataraman (Institut National de la Recherche Scientifique)

Abstract_CAP2026_VinayakVenkataraman_CatalinHarnagea_AlainPignolet.pdf

16:15 → 17:30 (DQI) M3-5 Quantum Hardware | Matériel quantique (DIQ)

Convener: Olivia Di Matteo (The University of British Columbia)

16:15 Strain‑mediated control of hole double quantum dot states using surface acoustic waves in non‑piezoelectric materials

Strain engineering has long been central to semiconductor physics, traditionally used to modify band structures and improve device performance. Recently, it has emerged as an active quantum control parameter, directly coupling to electronic and spin states. In quantum architectures based on compressively strained germanium-on-silicon (cs GoS) technology, both intrinsic and externally applied strain fields are crucial for lifting valence band degeneracy, separating heavy- and light-hole states, and affecting spin–orbit coupling. These strain-induced effects enable rapid, fully electrical and therefore addressable manipulation of hole spin qubits. Recent advances in coherence and tunability of hole spin states have positioned cs GoS material as a very promising platform for scalable hole-based quantum information processing.
In this work, we investigate the interaction between surface acoustic waves (SAWs) and holes confined in gate-defined double quantum dots in cs GoS heterostructures. We combine valence-band theory with COMSOL Multiphysics simulations of acoustic propagation. We find that SAW-induced biaxial strain is the dominant mechanism modulating hole energy levels in this non-piezoelectric system, exceeding displacement-mediated electrostatic effects by more than an order of magnitude under realistic conditions. Exploiting sound-velocity contrast within the heterostructure, we identify hybrid Rayleigh–Sezawa modes whose strain fields are naturally localized at the Ge quantum well containing spin qubits, maximizing phonon–qubit coupling without a need of suspended structures or complex phononic crystals. Furthermore, we show that replacing the piezoelectric layer in the SAW delay line with an acoustically matched non-piezoelectric dielectric preserves high quality of acoustic transmission while minimizing charge noise, enabling purely mechanical strain coupling at the qubit site. For lateral double quantum dots placed at opposite strain phases, SAW excitation yields strong differential modulation of interdot detuning, enabling spin-manipulation gates at tens of gigahertz. This demonstrates SAWs as a route for strain control of hole spin qubits in centrosymmetric group-IV semiconductors within CMOS-compatible architectures.

Speaker: Mr Yousef Karimi Yonjali (Department of Electronics, Carleton University)

Abstract submission for an oral presentation at CAP Congress 2026.pdf

16:30 Zeeman and Hyperfine Effects in Diamond Magnetometry

The Diamond NV centre consists of a substitutional nitrogen adjacent to a vacancy, and can exist in both charged (NV-) and uncharged states (NV0). The NV- are spin 1 centers which exhibit a magnetic moment due to the coupling of 2 individual electron magnetic moments. The magnetic field sensitivity of the spin-1 NV- centre results in a number of interesting physical effects when in the presence of various external fields (electric, magnetic, microwave, and light). Because of this, they have become a candidate for robust magnetic field sensors of several designs. Currently, one aspect on the forefront of NV center research is the development of compact optical readout magnetometers.
Diamond NV- magnetometers can exploit the Zeeman effect within the diamond matrix to produce discernible peaks whose separation is related to the strength of external magnetic fields $\gamma$ in the equation "2$\gamma$B"\cite{ejalonibu2019optimal,davis} in the presence of the NV center. Depending on the orientation of the field, this Zeeman splitting can produce a multitude of different peak separations based on the 4 possible orientations of the NV center in the crystal relative to the externally applied magnetic field. In addition the nuclear spin of the dominant 14N constituent of the nitrogen dopant atoms produces a hyperfine splitting. Presented here are Optically Detected Magnetic Resonance (ODMR) measurements of Zeeman and hyperfine splitting in a N-doped diamond crystal, with some discussion of their implications for magnetometry.

Speaker: William Davis (University of Saskatchewan)

16:45 Finite-Size Effects in Quantum Metrology at Strong Coupling: Microscopic vs Phenomenological Approaches

We study the ultimate precision limits of a spin chain, strongly coupled to a heat bath, for measuring a general parameter and report the results for specific cases of magnetometry and thermometry. Employing a full polaron transform, we derive the effective Hamiltonian and obtain analytical expressions for the quantum Fisher information (QFI) of equilibrium states in both weak coupling (WC) and strong coupling (SC) regimes for a general parameter, explicitly accounting for finite-size (FS) effects. Furthermore, we utilize Hill's nanothermodynamics to calculate an effective QFI expression at SC. Our results reveal a potential advantage of SC for thermometry at low temperatures and demonstrate enhanced magnetometric precision through control of the anisotropy parameter. Crucially, we show that neglecting FS effects leads to considerable errors in QFI calculations. This work also highlights the inadequacy of phenomenological approaches in describing the metrological capability and thermodynamic behavior of systems at SC.

Speaker: Ali Pedram (University of Calgary)

17:00 Polarization performance of a dual rail warm Rb QMem

Warm rubidium (Rb) vapor quantum memories are promising platforms for scalable quantum networks due to their technical simplicity and compatibility with room-temperature operation. A key performance metric for these memories is the signal-to-noise ratio (SNR), which directly impacts the fidelity of stored and retrieved quantum states. For practical quantum networking, it is essential that memory performance be independent of the input polarization. In this work, we demonstrate polarization-agnostic operation of a warm Rb quantum memory based on electromagnetically induced transparency (EIT) using a dual-rail architecture.
The memory stores arbitrary polarization states by coherently mapping orthogonal polarization components of the input probe onto two spatially separated atomic ensembles that experience identical optical and magnetic environments. We perform polarization-resolved measurements of the retrieved signal and dominant noise processes, to assess polarization dependence. By preparing the input probe in a complete set of linear and circular polarization states and analyzing the output in multiple polarization bases, we verify uniform storage efficiency and noise characteristics across all polarizations.
We will observe both the retrieval efficiency and SNR for all input polarization states, and validate polarization-agnostic behavior for this dual rail system. A classical Bit Error Rate (BER) will be determined from the SNR, providing insight into the utility of our QMem in a quantum network. This is to be done by comparing the BER to the acceptable limits defined in classical communication schemes. Rail recombination and input power imbalances are expected to be the main contributing factors to SNR discrepancies, as SNR will be calibrated based on detector response to input polarization.
Our work hopes to establish dual-rail warm-vapor quantum memories as robust, polarization-agnostic interfaces for storing polarization-encoded photonic qubits, with direct relevance to quantum repeaters, polarization-multiplexed communication, and room-temperature quantum information processing.

Speaker: Kenneth Gregory

17:15 Exponential onset of scalable entanglement via twist-and-turn dynamics in XY models

The efficient preparation of scalable multipartite entanglement is crucial for advancing next-generation quantum devices. We explore twist-and-turn (TaT) dynamics in XY models with ferromagnetic, dipolar interactions and a Rabi field. Our study reveals their capacity to achieve scalable spin squeezing at short times and quantum Fisher information with Heisenberg scaling at later times, suggesting generation of scalable multipartite entangled states and potential quantum metrological advantages. We show that TaT dynamics in two-dimensional dipolar systems reproduce results of infinite-range interactions within certain parameter regimes. In particular, scalable entanglement through spin squeezing develops in a time that grows only logarithmically with system size, saturating the maximum speed of entanglement buildup allowed by generalized Lieb-Robinson bounds for power-law interactions. Additionally, our study highlights nontrivial nonthermalizing dynamics at intermediate energy scales. This work holds experimental relevance for systems with power-law interactions, such as Rydberg atoms and trapped ions, which can potentially implement the TaT protocol. Furthermore, it provides foundational insights into the intersection of quantum many-body dynamics and quantum metrology. Reference: arXiv:2507.08206.

Speaker: Dr Meenu Kumari

16:15 → 17:30 (DNP) M3-6 Nuclear Structure | Structure nucléaire (DPN)

Convener: Thanassis Psaltis (Saint Mary's University)

16:15 Precision mass spectrometry at TITAN, TRIUMF

Mass spectrometry plays a crucial role in numerous fields of physics such as nuclear structure, and neutrino research. Precise mass measurements provide information on nuclear binding and nucleon separation energies, offering insight into shell and subshell closures, and nuclear deformation. The TITAN (TRIUMF's Ion Trap for Atomic and Nuclear science) facility is committed to conducting high-precision and fast mass measurements. Over the past several measurement campaigns, the masses of numerous nuclides located across the nuclear chart have been measured. Most campaigns have utilized a fast, time-of-flight technique using a Multi-Reflection Time-of-flight Mass Spectrometer (MR-TOF-MS). The measured masses have been used to constrain calculations and probe nuclear structure effects. In addition to the MR-TOF-MS, use of the TITAN Penning trap has allowed higher precision in mass measurements to be achieved. A new cryogenic cooling system has been installed at the TITAN Penning trap, to achieve ultra-high vacuum conditions ($\sim$10$^{-11}$ mbar), and facilitate trapping of ions over longer periods of time ($\geq$1 s), as well as measurements of highly charged ions formed in the TITAN Electron Beam Ion Trap. The cryogenic trap was commissioned with a measurement campaign to probe $\beta$ decay in $^{48}$Ca and refine $\beta\beta$ decay calculations. A final upgrade to the trap is currently being implemented, changing from a time-of-flight to a phase-based determination of the cyclotron frequency and therefore the mass. This is expected to push the limit of achievable mass precision to below 10$^{-10}$ level, making it possible to conduct measurements probing fundamental symmetries, tests of the Standard Model and beyond. Results from mass measurements of neutron-rich nuclides using the MR-TOF-MS, and the cryogenic Penning trap commissioning will be presented, along with a summary of the implemented and ongoing upgrades.

Speaker: Dwaipayan Ray (TRIUMF)

16:45 Decay Spectroscopy of 161Eu with the GRIFFIN Spectrometer

The neutron-rich Gadolinium isotopes around mass A=160 represent a critical region for understanding both nuclear structure and astrophysical nucleosynthesis. These nuclei exhibit large prolate deformations and lie along the freeze-out path of the rapid neutron capture process (r-process). Understanding their structure can give insight to the rare earth abundance peak formation. The odd-mass isotope ${}^{161}Gd$ (N=97) provides a sensitive probe of the single-particle spectrum in this deformed region through its one-neutron excitations experiments relative to the well-studied even-even core of ${}^{160}Gd$. The low-lying single-neutron states in ${}^{161}Gd$ have been probed via the 160Gd(d,p) reaction,and several Nilsson configurations were suggested. The study of the excited states of ${}^{161}Gd$ via the neutron capture reaction provided very limited information on the gamma-ray decays, and the previous study by beta-decay placed only four transitions in the decay scheme. The present work reports new high-precision measurements of ${}^{161}Gd$ excited states following beta-decay of high purity ${}^{161}Gd$ beams produced at the TRIUMF-ISAC facility. To avoid molecular and isobaric contamination, IGLIS(Ion Guide Laser Ion Source) was used along with the ISAC mass separator to greatly improve beam purity with two-step laser ionization selecting Eu isotopes only. Using the GRIFFIN high-efficiency gamma-ray spectrometer augmented with the PACES conversion electron spectrometer and beta-particle tagging with the Zero Degree Scintillator, this work has identified 87 new gamma-ray transitions and constructed a level scheme comprising 35 new excited states. The half-life of ${}^{161}Gd$ has been remeasured with improved precision. An overview of the experiment and analysis will be provided with these results providing stringent tests of the Nilsson model in the midshell region and deliver crucial nuclear structure inputs for r-process calculations.

Speaker: Jizhong Liu (TRIUMF/UVic)

CAP Conference 2026JizhongLiu.pdf

17:00 Search for Shape Coexistence Signatures in 100Ru using Thermal Neutron Capture Reaction.

At the forefront of nuclear structure research is the topic of shape coexistence, which occurs when states within the same nucleus at similar energies possess distinct shapes. Studies of nuclei in the Zr (Z=40) - Sn (Z=50) region have shown evidence for shape coexistence with deformed rotational-like bands coexisting with spherical or weakly-deformed ground state configurations. In the Ru (Z=44) isotopes, strong evidence has emerged for shape coexistence within 102Ru and 104Ru from Coulomb excitation [1,2], and it was suggested to be present in 98Ru and 100Ru as well [3]. In order to explore shape coexistence in 100Ru, and also probe possible vibrational motion, key mixing ratios and the observation of low-energy, and hence often very weak intensity, transitions between non-yrast states are required. The study of 100Ru presented in this work aims to extract precise transition multipolarity mixing ratios, unobserved weak g-ray transitions, and transition probabilities to resolve its structural nature. We used the thermal neutron capture reaction, 99Ru(n,g)100Ru, carried out at the Institut Laue-Langevin in Grenoble, France. The g-ray transitions depopulating the excited states in 100Ru were detected by the FIPPS array consisting of two sets of eight clover-type hyper-pure Germanium detectors. FIPPS provides high efficiency and the ability for perform detailed gammagamma angular correlations due to its high granularity. Results from the current analysis will be presented with an emphasis on the structural implications of the results.

Speaker: Sangeet-Pal Pannu (University of Guelph)

Pannu_Sangeet_CAP2026.pdf

Pannu_Sangeet_CAP2026.pptx

16:15 → 17:30 (DPE) M3-7 Student Competition Session | Session du concours étudiant (DEP)

Convener: Ania Harlick (University of Toronto)

16:15 Introductory Electronics for Scientists: Effects of high-integration approach on critical thinking lab skills and epistemological beliefs in physics undergraduates

The landscape of student learning in undergraduate physics courses has gone through a gradual shift that has taken place after 2020. This study aims to address this fundamental shift among a group of physics undergraduates taking a second-year introductory electronics course. In changing the modality of learning to revolve around a book written specifically for the course (Introductory Electronics for Scientists), the lecture and laboratory materials become closely coupled. The impact of this high-integration approach is assessed using survey data and interviews on students' laboratory skills, epistemological beliefs, and learning habits tracked over the duration of the course. Results and outcomes from the Winter 2025-2026 cohort will be discussed, with implications for future practice.

Speaker: Sophie Della Manna (Brock University)

16:30 Assessing the Urban-Rural Gap in Ontario High School Enrolment Choices

Rural schools across Ontario are often smaller and less connected to nearby postsecondary institutions, which can make it difficult to staff specialized courses. As a result, students in these schools may face more limited access to senior STEM subjects [1,2].

This study examines the factors underlying urban-rural differences in students’ postsecondary readiness. Using descriptive analysis of Ontario enrolment data from 2006 to 2023, it focuses on the availability of senior STEM courses, the frequency with which they are offered, and student achievement within those courses.

By combining descriptive trends with regression techniques, this project moves beyond identifying patterns to exploring the systemic and structural conditions that produce them. In doing so, it highlights how school location and size intersect to shape both access to and success in senior STEM courses across Ontario.

[1] Looker, D.E. Regional Differences in Canadian Rural-Urban Participation Rates in Post-Secondary Education, (2019). A MESA Project Research Paper. Toronto, ON: Educational Policy Institute.

[2] Nielsen, W. Accessing senior science courses in rural BC: A cultural border crossing metaphor, (2004). Paper presented at the annual meeting of the Canadian Society for Studies. Winnipeg, May 2004. https://doi.org/10.11575/ajer.v53i2.55261

Speaker: Michaela Hishon (University of Guelph)

16:45 Comparison of the experiences of Female and Male Students in taking Labatorials

It has been shown “that female students with A’s have similar physics self-efficacy as male students with C’s in introductory courses. Also female students are less likely to see themselves as a physics person than male students” (Marshman, Yasemin Kalender, Nokes-Malach, Schunn, Singh, 2018)). See also Yangqiuting Li, Kyle Whitcomb, and Chandralekha Singh (2020) and Hazari, Tai & Sadler (2007).
Labatorials (combination of “lab” and “tutorial”) developed at the University of Calgary were inspired by the introductory physics tutorial system entitled ‘Tutorials in Introductory Physics’ at the University of Washington. Students doing Labatorials typically work in groups of four to five using structured worksheets that target prior understanding and emphasize conceptual reasoning alongside hands-on experimentation. The worksheets guide students through predictions, calculations, graphing, and experimental tasks, with a stronger emphasis on experimental engagement than traditional labs.
We present results from a study comparing the experiences of female and male students undertaking labatorials. Using a mixed-methods approach, the study collects qualitative and quantitative data, including pre-tests, post-tests, reflective writing assignments, interviews and surveys. The research was conducted at Concordia University and Mount Royal University with student groups composed of mixed genders.
Interviewed students perceived that women more frequently engaged socially to support learning, while men more often relied on autonomy. Women also played a larger role in maintaining social cohesion within lab groups. A strong belief in a gendered division of labor was reported, with men typically performing hands-on experimental tasks and women assuming analytical or note-taking roles. Initially, female students reported lower confidence in handling laboratory apparatus; however, by the end of the semester, they were more actively engaged in working with the experimental setup.
Female students gained confidence and reported feeling capable of working with experimental equipment and contributing more equally alongside male students.

Speaker: Ms Lydie Lachance Djilo Kamdem (Concordia University)

CAP 2026 - Conference Presentation Final.pdf

CAP 2026 - Conference Presentation Final.pptx

17:00 An Introductory Experiment in Second Harmonic Generation

This project is part of a comprehensive revision of the Undergraduate Physics Laboratory Curriculum at the University of Waterloo, supported by the Dean's Undergraduate Teaching Initiative, Waterloo Science Endowment Fund (WatSEF), and the Sinclair Foundation.

I have designed an introductory-level experiment on Second Harmonic Generation (SHG). SHG is a nonlinear optical process in which photons interact to produce light at twice their original frequency. The experiment is taught using inquiry-based instruction. Students investigate whether SHG depends on pulse energy, peak power, or laser intensity using a Titanium Sapphire femtosecond laser (850±50nm, 100±50fs pulses) and a Beta Barium Borate (BBO) crystal. The experiment will be implemented in the new Gee-Whiz Lab Course (GWLC), where students will conduct contemporary physics experiments without requiring prior subject mastery. This approach encourages students to revisit these beyond-introductory-level topics throughout their undergraduate education and explore how experimental investigations contribute to progress in physics in ways distinct from theoretical approaches. Preliminary work suggests the experiment is both technically feasible and pedagogically effective, providing a foundation for future introductory-level curriculum development in nonlinear optics and other topics typically reserved for upper-year or graduate study. Previous presentations by this research group included preliminary work that was foundational to the project, this presentation summarizes the first completed experiment for the new lab course and outlines our next steps.

Speaker: Urja Nandivada

CAP2026.pptx

CAP2026_UploadedSlides.pdf

16:15 → 17:30 (DPMB) M3-8 Emergent Biological Behaviour I: Molecular Self-Organization to Collective Social Dynamics | Comportements biologiques émergents I: de l'auto-organisation moléculaire aux dynamiques sociales collectives (DPMB)

Convener: Stefan Wallin (Department of Physics and Physical Oceanography, Memorial University of Newfoundland and Labrador, St. John’s, NL, Canada A1B 3X7)

16:15 Modelling Metamorphic Protein Kinetics in Crowded Cytosolic Environments

Cellular interiors are densely crowded with proteins and other macromolecules, leading to excluded-volume and weak enthalpic effects that can strongly modulate protein folding, binding, and aggregation. To study these phenomena, we are developing a combined computational-experimental framework to quantify crowding effects using a well-defined “model cytosol” and a sequence-aware coarse-grained (CG) molecular dynamics (MD) model.

On the computational side, we are adapting an in-house Cα dual-basin CG model to simulate multi-protein mixtures with explicit inter-chain interactions. Two new sequence-guided terms have been implemented: (i) a short-range effective hydrophobic attraction and (ii) a Debye-screened electrostatic potential with pH-dependent residue charges. In parallel, we are building a six-protein experimental mixture (2:2:3:2:1:1 of horse myoglobin, bovine β-lactoglobulin, chicken albumin, human hemoglobin, horse hemoglobin, and bovine serum albumin) and using resultant data from dynamic light scattering experiments to calibrate model parameters.

This model will be used to investigate the fold-switching dynamics of human chemokine XCL1 (lymphotactin), a metamorphic protein involved in the immune response that transitions between two distinct native folds depending on local conditions. We aim to quantify how cytosol-like crowding and weak enthalpic interactions modulate XCL1 fold-switching kinetics using CG MD simulations, with key predictions testable by NMR. More broadly, the framework offers a sequence-informed way to predict nonspecific association and early aggregation risk in crowded environments, with implications for therapeutic developability and formulation.

Speaker: Francis Dominie

16:30 Coarse- Grained Langevin Dynamics Model for Polyethylene-glycol

The interior of cells is a highly dense space in which macromolecules occupy a substantial fraction of the volume. Crowding effects have been shown to impact the conformations and diffusion of proteins, including polymer-like intrinsically disordered proteins. Here we study macromolecular crowding effects in a polymer system consisting of polyethylene glycol (PEG) and Ficoll, which acts as a crowder molecule. The goal of this research is to understand the chain compaction and reduced diffusion of PEG chains in the presence of a high volume fraction of crowders.

PEG is modeled as a bead-spring chain with additional angular and torsional interactions, as well as non-bonded Lennard-Jones interactions. Conformational sampling of the system is carried out using Langevin dynamics. The model is first parametrized with experimental data by tuning the nonbonded interaction strength to reproduce experimentally measured scaling of the radius of gyration, $R_g$, with the number of monomer units, $N$. Crowders are modeled as spheres of radius $R_c$, and their effect on $R_g$ is in terms of the ratio, $\lambda=R_g/R_c$, and further compared with their concentration, denoted by packing fraction $\phi_c$.

Simulation results reproduce key experimental trends: polymer dimensions are weakly affected when polymers and crowders are comparable in size ($\lambda\sim1$), while significant compression occurs for $\lambda>1$. By isolating individual parameters that are inaccessible in experiment, these simulations provide insight into how excluded-volume effects and crowding geometry contribute to polymer behavior in experiments. This work demonstrates the utility of CGMD simulations for bridging experiment and theory in crowded polymer systems and for improving coarse-grained models of macromolecular behavior in complex environments.

Speaker: Jorja Pevie (Memorial University of Newfoundland)

16:45 COMPUTER SIMULATIONS OF THE FOLDING OF METAMORPHIC PROTEINS B4, SB3 and SB4

Metamorphic proteins are an unusual class of proteins capable of adopting more than one stable native fold, challenging the classical assumption that a single amino acid sequence encodes a single structure. In this work, we investigate the folding behaviour of three closely related proteins: B4, SB3, and the engineered mutant SB4. Despite differing by only a small number of residues, these proteins populate distinct structural states experimentally, with SB4 in particular exhibiting the ability to switch between a B-like fold and an S-like fold.
To probe the mechanisms underlying this fold-switching behaviour, we employ a coarse-grained Cα structure-based model combined with Langevin dynamics. In this framework, each amino acid is represented by a single bead, and native interactions are encoded through structure-based contact potentials, enabling efficient exploration of protein folding energy landscapes. By varying temperature and the relative strengths of native contacts associated with the B- and S-folds, we simulate the folding of B4, SB3, and SB4. The resulting trajectories are analysed using RMSD-based order parameters, native-contact fractions, and free-energy surface projections.
The simulations reproduce the expected two-state folding behaviour of B4, reveal a more complex energy landscape for SB3 consistent with the presence of an intermediate state, and demonstrate that SB4 can populate both the B- and S-folds depending on model parameters. These results show that simplified coarse-grained models can capture key features of metamorphic protein folding and provide insight into how minimal sequence changes reshape the underlying energy landscape. The findings complement recent experimental studies and contribute to a deeper understanding of the physical basis of protein fold switching.

Speaker: Ken Tse Pen Ki

17:00 Varieties of the Schelling Model: Foundations for Exploring Positional Choice Models

Simulating simplified models of social interactions with agent-based models (ABMs) fills a special role in the study of social phenomena, where it is often impossible to design controlled experiments. Schelling’s model of segregation is one of the best-known ABMs, notable for being among the first and simplest to demonstrate how societal outcomes can collectively fail to match individual preferences. This link between microscopic rules and macroscopic social behavior, has established it as a valuable bridge between the physical, computational, and social sciences. This has yielded a proliferation of model variants and a disjointed state of the literature. In this work, a comprehensive analysis of Schelling model rule variants is achieved by classification of the space of macroscopic outcomes via phase diagrams. Among 54 rule variants, only 3 phase diagram classes are found, characterized by the number of phase transitions. The statistical and dynamic drivers of these transitions are elucidated by analyzing the roles of agent vision, movement criteria, vacancies, the initial state, and rivalry. This comprehensive classification gives new insight into the drivers of phase transitions in the Schelling model and creates a basis for studying model extensions. We report progress on how sloped, curved, and peaked satisfaction functions, along with a stochastic move rule, affect the system’s phase space.

Speaker: Marlyn Mwita (University of Waterloo)

17:15 Synergistic Effects of H-NS and Crowders on Bacterial Chromosome Organization

Cells organize their chromosomes through the coordinated action of chromosome-associated proteins and surrounding molecular crowders. In crowded environments, polymeric chains such as chromosomes can undergo entropically driven condensation. Using a coarse-grained computational model, we examine the physical roles of the cross-linking protein H-NS and crowders in bacterial chromosome organization. Our results reveal a two-way synergy: crowding enhances H-NS binding, while H-NS amplifies crowding-induced compaction. We further find that increased chain stiffness strengthens this synergistic effect.

Speaker: Bae-Yeun Ha

16:15 → 17:45 (PPD) M3-9 Neutrinos | Neutrinos (PPD)

Convener: Xiaoyue Li (TRIUMF)

16:15 Neutrino Self-Interactions in Neutrino Scattering

Testing new interactions in the neutrino sector, both in current and upcoming experiments, is essential for uncovering the nature of neutrinos. In many extensions of the Standard Model, active neutrinos may engage in self-interactions via the exchange of new light mediators, often motivated by the need to explain empirical puzzles such as the origin of neutrino mass. Cosmological data also point toward an effective Fermi constant significantly larger than what the Standard Model offers. In this talk, I will show how neutrinophilic mediators can leave indirect yet measurable signatures through radiative corrections to neutrino-matter scattering. I will also discuss the resulting new contributions to the Z-boson decay width and to non-standard neutrino interactions relevant for neutrino oscillation experiments.

Speaker: Saeid Foroughi-Abari (Carleton University)

CAP_Saeid_Foroughi.pdf

16:45 Measurement of Inclusive Antineutrino Cross-Sections in 3.5 GeV and 6 GeV Antineutrino Beams and Neutrino Counterparts in Neutrino Beams

The next generation of long-baseline neutrino experiments requires a high precision understanding of neutrino-nucleus interactions. The MINERvA experiment at Fermilab was designed to provide this increased understanding with accurate measurements of these interactions that then guide the development of robust interaction models. In particular, cross-section measurements play a central role in advancing these models used in the measurement of oscillation parameters. A more powerful approach than measuring the cross-section in one beam is to extract the same cross-section measurement in two different beams incident on the same detector. This allows for two measurements of the same cross-section using identical detector technology, simulation, and measurement extraction procedures, while the flux of the incoming particles differs depending on the incident beam. This provides a unique opportunity to assess the impact that the changing flux has on the measurement, serving as an additional benchmark for tuning cross-section models.

This work presents a measurement of the inclusive antineutrino (and neutrino) cross-sections, in terms of muon kinematics, on the hydrocarbon tracker region of the MINERvA detector with two different beams, one peaked at 3GeV and one peaked at 6GeV. This inclusive measurement as a function of muon transverse and longitudinal momenta will be presented along with comparisons to different oscillation experiment model predictions.

Speaker: Maria Mehmood

CAPCongress_MariaMehmood_2026-06-14_v4.pdf

17:00 The Development of Directional Calibration in P-ONE

P-ONE is a high-volume neutrino telescope planned to span a cubic kilometre in the Pacific Ocean. It will consist of an array of optical modules (OMs) that house photomultiplier tubes (PMTs) to detect TeV-energy neutrinos via Cherenkov radiation. The timing and position of the light detected allow us to reconstruct the path and direction of the incoming neutrinos. While this information is crucial to detect sources of astrophysical neutrinos, the current calibration methods used for neutrino telescopes are limited because it is not feasible to produce particles (or muons) at the relevant energies to understand the detector's response. P-ONE features a unique calibration system, the Muon In-Situ Tracker (MIST), which aims to resolve this issue. It consists of panels of plastic scintillators that are housed within each P-ONE OM, which can directly tag muons that pass through them. The known muon path can be used to estimate the angular resolution of the PMTs' reconstruction. Here, I discuss results from Geant4 simulations of the system and prototype testing to maximize the muon detection efficiency of MIST.

Speaker: Tyler Martin (University of Alberta)

June_22_2026_CAP_TylerMartin.pdf

17:15 Optical Calibration of the SNO+ Scintillator Phase using a ‘Laserball’

The SNO+ experiment is a kilotonne-scale neutrino detector located 2km underground at SNOLAB in Sudbury, Ontario. A primary goal of SNO+ is to further our understanding of the Standard Model (SM) and the nature of neutrinos through a search for neutrinoless double beta decay (0$\nu$$\beta$$\beta$) in $^{130}$Te. A 0$\nu$$\beta$$\beta$ detection would measure the absolute neutrino mass, extend physics beyond the SM, and offer insights into the unexplained neutrino mass mechanism. The long decay half-life ($>10^{25}$yrs) and backgrounds near the decay Q-value ($\sim2.5$MeV) pose great challenges in detecting 0$\nu$$\beta$$\beta$. A key component of effective background modeling is the reconstruction of the energy and position of physics events within the detector. To accomplish this, a calibration campaign was designed to measure the detector optical response. \
The detector consists of a 12m diameter acrylic vessel currently filled with 780 tonnes of liquid scintillator, linear alkylbenzene, doped with the fluor 2,5-diphenyloxazole, viewed by approximately 9400 photomultiplier tubes (PMTs) and surrounded by a shielding volume of ultra-pure water. In SNO+, a photon from a physics event is subjected to optical processes on its trajectory from the interaction vertex to the PMTs. These optical processes include scattering, absorption, and re-emission from the scintillator, acrylic, and external water; and reflection and refraction at media boundaries. Both the optical processes and PMT response are position, energy and wavelength dependent. An ideal optical calibration source, the Laserball, was developed, which produces quasi-isotropic light at well-defined wavelengths, and can be deployed throughout the detector. This talk presents the optical calibration from the first deployment of the SNO+ Laserball in the scintillator phase.

Speaker: Jamie Grove (Queen's University)

CAP2026_JamieGrove.pptx

17:30 Measurement of the muon flux at SNOLAB using the DEAP-3600 experiment

The DEAP-3600 experiment is a direct dark matter (DM) search located 2 km underground at SNOLAB in Sudbury, Canada, employing a spherical acrylic vessel capable of holding 3600 kg of liquid Argon (LAr) target surrounded by a water Cherenkov veto system. The inner vessel and the water tank are monitored by photomultiplier tubes (PMTs) to detect scintillation and Cherenkov light. Despite the large rock overburden, high energy cosmic ray muons produced in the atmosphere penetrate the detector depth and constitute an important background through direct detection and the production of cosmogenic neutrons in the surrounding rocks, which can mimic dark matter signals. In this work, we study the flux of cosmic ray muons at the DEAP-3600 site using events in the water tank along with the muons which are in coincidence with the water tank and inner LAr detector. The water tank PMTs detect the Cherenkov light produced due to through-going muons, whereas coincident muon signals are used in background discrimination for the dark matter search. The precise study of muon-induced backgrounds is essential in understanding and rejecting backgrounds in the DEAP-3600 dark matter search. These results provide an important benchmark for the future rare-event search experiments at the SNOLAB facility.

Speaker: Akhil Maru (Carleton University)

CAP_MV_22June2026.pdf

17:30 → 18:30 Travel Time | Déplacement

18:15 → 19:45 Welcome BBQ (indoors) | BBQ de bienvenue (à l'intérieur)

20:00 → 21:15 M-HERZ Herzberg Memorial Public Lecture | Conférence publique commémorative Herzberg - Neil Turok, University of Edinburgh/Perimeter Institute

Convener: Wendy Taylor (York University (CA))

20:00 Welcome and Introduction

21:00 Q&A Session and Thank You's

Tuesday 23 June

07:30 → 08:00 Congress Registration and Information (07h30-17h00) | Inscription au Congrès et information (07h30-17h00)

08:45 → 09:00 Plenary hall opens | Ouverture de la salle plénière

09:00 → 09:45 T-PLEN1 Plenary Session | Session plénière - Normand Mousseau, U. de Montréal

Convener: Greg van Anders (Queen's University)

09:00 What can physicists contribute to the climate challenge?

Global warming is a central issue for our civilization. While it has broad impact, it is at its core simply a matter of energy balance. Given its fundamental nature, global warming has attracted the attention of many physicists over the years. This includes climatologists, of course, many of whom hold a physics degree, and whose main work focuses on describing and understanding the impact of greenhouse gases on the evolution of the climate. It also includes physicists interested in developing critical fundamental and applied solutions to move away from a fossil-based society as well as those interested in planning the transformation of our energy system or in.

Yet, even though energy transition involves a lot of technology and science concepts, to contribute to such a transversal transformation, physicists must expand their traditional training: unlike physical systems, social transformations are not deterministic, requiring scenario-based thinking largely foreign to physics training.

Building on my own experience working on the energy transition, I'll present examples of how physicists do contribute to this challenge by building on the fundamental scientific knowledge and problem-solving tools that are part of our physics training and how we can use those skills for her society-wide problems.

Speaker: Normand Mousseau (Université de Montréal)

09:45 → 10:15 Health Break | Pause santé

10:15 → 12:00 (DAPI) T1-1 Advances in Low Background Detector Design | Progrès dans la conception de détecteurs à faible bruit de fond (DPAI)

Convener: Erica Caden (SNOLAB)

10:15 The SNOLAB Ultra-Low Background Material Screening Program

The SNOLAB laboratory is located deep underground in the Canadian Shield and hosts several science experiments which require extremely low levels of background radiation. The deep underground facilities provide significant rock overburden and thus a reduction in the cosmic ray flux and cosmic ray-spallation induced products, such as neutrons. Nevertheless, even when an experiment is deep underground, there are still backgrounds present at levels which can hinder experimental searches for neutrino interactions or the search for dark matter. These backgrounds can include high-energy cosmic ray muons which pass through the rock overburden that then interact with the experiment or rock nearby the experiment, and the detector environment itself, which can include the radioactivity naturally emitted from the surrounding rock and the materials used to construct the experiment. Since many of these backgrounds may be present in the underground environment and the experimental materials themselves, it is highly desirable to measure these backgrounds and to determine the effort required to reduce them further to meet the desired scientific goals of the experiments. This presentation will describe SNOLAB's low-background material screening facilities and background measurement capabilities which can be used to directly measure these radioactive backgrounds and to search for new low-background materials which can be used for future detector fabrication.

Speaker: Dr Ian Lawson (SNOLAB)

Ian_Lawson-CAP_LBC_2026.pdf

10:45 Utilization of Quantum Dots for Radiation Detection Applications

Quantum dots exhibit size-dependent characteristics because of quantum confinement at the nanoscale. This leads to the possibility of controlling their electronic and optical properties, including the band gap. While these tunable properties of quantum dots have been exploited in photonic applications, their use in radiation detection remains comparatively unexplored. When illuminated by ionizing radiation, quantum dots can be excited to fluoresce at an emission wavelength determined by the band gap of the material, offering a potential route toward radiation detector concepts tailored to specific measurement needs.
In this work, we use Stopping and Range of Ions in Matter (SRIM) and Geant4 simulations to examine the applications of quantum dots as functional materials in radiation detection systems, with a focus on how material selection, particle size, and placement within a detector impact energy deposition and light production. Initial simulation results indicate that source choice and detector geometry play a key role in determining the effectiveness of quantum dots as functional components in radiation detection systems. In this presentation, we provide highlights of our results on design considerations and parameter regimes that may enable improved performance in radiation detectors incorporating quantum dots.

Speaker: Dr Jeremy Dion (Canadian Nuclear Laboratories)

11:00 Development of a Large Vacuum Chamber for Silicon Photomultipler Testing at Liquid Xenon Temperatures

As modern physics experiments begin to require lower and lower backgrounds to reach their sensitivity goals, be it dark matter searches or experiments seeking to probe the nature of neutrinos, new technology is needed in order to reach these stringent requirements. In the realm of light detection devices, silicon photomultipliers (SiPMs) offer an upper-hand in terms of radiopurity when compared to photomultipler tubes, which would otherwise be used. The nEXO experiment, specifcally, intends to line a monolithic time-projection chamber containing 5 tonnes of xenon enriched in the isotope Xe-136 with thousands of SiPMs to detect the scintillation light from said isotope in the search for neutrinoless double-beta decay. For this, a large-scale testing infrastructure is under development at McGill to allow for mass-testing of SiPM staves, which consist of twenty square-meter-large panels grouping together approximately two thousand SiPMs before their eventual installation in the nEXO detector. The setup consists of an aluminum chamber with approximately half a cubic meter in volume under high vacuum, capable of reaching pressures down to 1 × $10^{−7}$ mbar. Inside the chamber, an XY gantry and linear rail system is used to guide a laser whose optical characteristics mimic those of xenon scintillation light onto the SiPMs, allowing for automated testing of all SiPMs on a stave within a vacuum cycle. A cryocooler is used to cool the SiPMs to 165 K, the temperature at which xenon remains liquid when at pressures expected for nEXO. This talk would outline the mechanical and electrical engineering challenges involved with instrumenting this detector with the proper sensors and peripherals to enable its use for the outlined research goals.

Speaker: Simon Lavoie (McGill University, (CA))

Simon_Lavoie_CAP_2026_Abstract.pdf

Simon_Lavoie_Development_of_a_Large_Vacuum_Chamber_for_Silicon_Photomultiplier_Testing_at_Liquid_Xenon_Temperatures.pdf

Simon_Lavoie_Development_of_a_Large_Vacuum_Chamber_for_Silicon_Photomultiplier_Testing_at_Liquid_Xenon_Temperatures.pptx

11:15 The ARGO detector readout and DAQ

Physicists continue to invest significant effort in the search for dark matter using increasingly large and sensitive detectors. ARGO is a next generation experiment in conceptual development designed to push sensitivity through advanced photodetection and large-scale instrumentation. The detection medium is a ~400-tonne mass of low-background argon inside an acrylic vessel. To capture the scintillation light, the 200 m$^2$ outer surface will be covered in Single Photon Avalanche Diodes (SPAD) with a digital readout. The high potential granularity (mm-scale) of SPAD arrays results in channels numbering in the millions, requiring a new approach for the readout and data acquisition. We will present a data acquisition architecture exploiting distributed real-time artificial intelligence to identify signals of interest and extract the relevant properties, such as position, energy and probable particle type.

Speaker: Prof. Audrey Corbeil Therrien (Université de Sherbrooke)

T1-1-4-CAP_Therrien.pdf

11:30 Monte Carlo modeling of pixelated digital SiPMs for the ARGO dark matter experiment

ARGO is a future dark matter direct-detection experiment based on a liquid argon (LAr) target proposed to be constructed at SNOLAB in the next decade. ARGO will produce leading sensitivity to heavy dark matter searches above 50 GeV/c2. It will also have excellent sensitivity to detect core-collapse supernova neutrinos and produce high-precision measurements of solar neutrinos at and above the 7Be shoulder. For photodetection in ARGO, we are interested in pixelated silicon photomultiplier (SiPM) photosensors with fast photon timing that will allow good position reconstruction and novel hit-pattern-based event discrimination. However, the dark noise and optical crosstalk (oCT) associated with SiPMs can potentially affect the electron recoil/nuclear recoil pulse-shape discrimination and distort spatial/temporal photon hit patterns, limiting background rejection. We have developed a full Monte Carlo simulation of a pixelated SiPM system, including dark noise and oCT, to evaluate detector performance and determine constraints on SiPMs to achieve that performance. In my talk, I will describe our MC model and present some results about the impact of these SiPM noises on the detector energy threshold and event position reconstruction.

Speaker: Dr Asish Moharana (Carleton University)

CAP_2026.pdf

11:45 Thermal simulations with COMSOL that characterize the temperature and pressure which define the threshold in the PICO-40L bubble chamber

The need to perform a thermal simulation for the PICO-40L detector stems from the fact that the transition region isn't ideal for delimiting the two temperature zones. Indeed, the geometry adopted, “right side up” (RSU), requires a cold area (<-30 °C) and a warm region (~ 13 °C). The active fluid (C3F8) must be kept cool in the lower part, as it’s in direct contact with the stainless steel (SS) bellows. If this were not the case, bubbles would incessantly form on this wall, and the experiment would be impossible to carry out. In the hot section, the target liquid is in contact with the smooth surface of a fused quartz glass, which reduces the risk of phase change, even though it’s in a superheated state. Several sheets and blocks of HDPE are installed in the cold zone to isolate it from the rest of the detector. To stabilize the hot area, two heating plates are housed above the HDPE. The latter is placed in a water bath that regulates the temperature of the warm zone. A cooling coil and a retroreflector are positioned in the upper part of the PV to reduce the temperature of the hot oil that rises. It’s not possible to install RTDs in the region of interest for reasons of radio purity. However, several temperature sensors were installed near the sensitive region which allows the temperature to be extrapolated in the C3F8 target using thermal reconstructions with COMSOL. Since convection can have an impact on the results, simulations with and without this parameter were performed. The correlation between the temperatures obtained from the simulations and the values recorded by the RTDs makes it possible to validate one model over another.

Hantz Nozard

Speaker: Hantz Nozard (Université de Montréal)

CAP_thermal_HN.pdf

CAP_thermal_HN.pptx

10:15 → 12:00 (DTP) T1-10 Gravitational Waves | Ondes gravitationnelles (DPT)

Convener: Valerio Faraoni

10:15 Gravitational-wave observations as astrophysical probes

In the ten years since the first gravitational-wave (GW) detection, the LIGO, Virgo, and KAGRA detectors have amassed around 200 compact binary mergers and have revolutionized our understanding of physics. In this talk, I will describe the demographics of these objects—their mass, spin, redshift, etc., distributions—and their use as astrophysical probes. I will emphasize a hallmark feature of GW astronomy that is crucial to this exercise: our ability to model selection effects (the GW analogue of the Malmquist bias) accurately and precisely. I will also summarize our current understanding of formation pathways and the open questions that remain, with a concentration on the emerging hints of repeated mergers in the binary black hole population. I will end with my view on the exciting prospects ahead for gravitational-wave science.

Speaker: Aditya Vijaykumar (CITA)

CAP Talk.pdf

CAP Talk.pptx

10:45 Primordial Black Holes: Gravitational-Wave Signatures

In this talk, I will review two gravitational wave (GW) signatures of primordial black holes (PBHs) as candidates for dark matter. I investigate the stochastic gravitational wave background (SGWB) generated by PBHs in the dense cores of dwarf galaxies (DGs), considering both hierarchical binary black hole (BBH) mergers and close hyperbolic encounters (CHEs). We incorporate up to four successive generations of PBHs within a Hubble time and quantify the GW emission from both channels. The results show that while BBHs dominate the total emission, CHEs occur earlier, provide the first GW signals, and contribute a continuous though subdominant background that becomes relatively more significant once the initial PBH population is depleted and binary formation is suppressed. The resulting SGWB spectra demonstrate that BBHs and CHEs imprint distinct frequency dependencies consistent with analytical expectations. Finally, I compare the predicted signals with the sensitivity of observatories such as LISA, DECIGO, ET, IPTA, and SKA.

Speaker: Encieh Erfani (Perimeter Institute for Theoretical Physics)

Encieh Erfani_CAP 2026.pdf

11:00 Gravitational Wave Emission and the Influence of External Perturbations on Compact Binary System

Predicted by general relativity, gravitational waves (GW) provide direct, observable signatures of strongly gravitating systems operating in extreme and often counterintuitive regimes of spacetime, including binary systems and black holes. Binary systems provide a unique means to probe how general relativity encodes spacetime curvature into observable GW signals. While the intrinsic emission of GWs from binaries is well understood, this thesis investigates a fundamental open question that extends beyond textbook GW physics: can external spacetime disturbances influence the evolution of a binary system, so much so that the GW may modify, quench, or even reverse the inspiral driven by the system’s own radiation?

The intrinsic orbital and radiative parameters of an equal-mass circular binary and their evolution are examined by deriving the GW spectrum within the quadrupole approximation of linearized general relativity. This includes the power spectrum P(ν)∝ν^(10/3), the energy spectrum ∣dE/dν∣∝ν^(-1/3), and the strain spectrum h(ν)∝ν^(2/3), along with their associated orbital decay (a ̇∝a^(-3)) and frequency evolution (ν ̇∝ν^(11/3)). These results are then benchmarked against observational data from the Hulse–Taylor binary pulsar to confirm their validity.

The response of a binary system to an incident gravitational wave is investigated using the geodesic deviation equation to model GW-induced tidal accelerations. The resulting energy transfer to the orbit is estimated by modeling the binary as a damped, driven harmonic oscillator, allowing for a frequency-dependent treatment of the absorbed power, considering both resonant and non-resonant driving frequencies. Under realistic conditions, external gravitational waves produce negligible orbital modifications compared to the binary’s intrinsic GW-driven inspiral.

Speaker: Emily Spence (Carleton University)

Can Gravitational Waves Alter Binary Inspirals.pptx

11:15 Conversion between Gravitational and Electromagnetic Waves at Medium Boundaries

It is well known that in the bulk of a background electromagnetic field, photons and gravitons convert into one another. This phenomenon is known as the Gertsenshtein effect. In my research, use this result to examine what happens at a boundary separating a vacuum region from a background electromagnetic field, and I find that up to 34 % of an incoming gravitational wave’s energy can get reflected and converted into electromagnetic waves, and vice versa.

Speaker: Serge Hamoudou (PhD Student)

Presentation.pdf

11:30 Near zone dynamics and relativistic correction to the retarded gravitational field

We focus on the motion of a detector caused by a near-zone, time dependent gravitational source, taking into account general relativistic effects. We find that the corrections due to the acceleration of the source can be large enough so that they could potentially be measured. We then look at tectonic plate motion during earthquakes as a viable source that could allow for the prompt gravitational detection of earthquakes via these relativistic effects.

Speaker: Thomas Forget (Université de Montréal)

cap_2026.pdf

11:45 Evidence for Event Horizons in AGNs from Ruling Out Thermal Surface Emission

Active Galactic Nuclei (AGNs) are compact regions powered by the accretion of matter onto the supermassive black holes (SMBHs) at the centers of galaxies. In general relativity, the black hole singularities are hidden behind event horizons, beyond which light cannot escape. However, motivated by the information paradox, a variety of other solutions have been posited that do not have an event horizon, ranging from black hole foils (e.g., gravastars, fuzzballs, etc.) to naked singularities. In this work, we compare the spectral energy distributions (SEDs) of 106 AGNs obtained from the BAT AGN Spectroscopic Survey (BASS) to those predicted by accretion-powered thermal surface emission models that are typical of black hole alternatives. In no source do we detect the excess surface emission, and we find that in 38 AGN, upon assuming that the emission is compact, the observed SED is inconsistent with the presence of excess surface emission. Therefore strongly suggests the presence of an event horizon in those cases. For most of the unconstrained AGN, the constraint is dominated by uncertainty in the source properties (e.g., black hole mass, distance, luminosity, etc.) or variability in the SED from the accretion flow itself, and thus these could benefit from future multiwavelength observations.

Speaker: Ekin Oran

presentation.pptx

10:15 → 12:00 (PPD) T1-11 Colliders | Collisionneurs (PPD)

Convener: Thomas Koffas (Carleton University (CA))

10:15 Probing Long-Lived Particles at the HL-LHC with the MATHUSLA Experiment

Beyond the Standard Model Long-Lived Particles (LLPs) appear in many theoretical frameworks that address fundamental questions such as the hierarchy problem, dark matter, neutrino masses, and the baryon asymmetry of the universe. The LHC may in fact be producing copious numbers of neutral LLPs with masses above a GeV, only to have these sneaky particles escape the main detectors without being spotted. To fill this gap, we have proposed the MATHUSLA detector (MAssive Timing Hodoscope for Ultra-Stable neutraL pArticles), which would be constructed on the surface above CMS and would take data during High-Luminosity LHC operations. The detector would be composed of several layers of solid plastic scintillator, with wavelength-shifting fibers connected to silicon photomultipliers, monitoring an empty air-filled decay volume. The Conceptual Design Report (CDR) published last year sets out a benchmark geometry of 40m x 40m x 25m, with a modular detector construction scheme that would allow data collection to begin as soon as the first of 16 modules is installed. This talk will summarize the results of more detailed studies conducted by the Canadian MATHUSLA team since the CDR, with the aim of building the first 4 modules (20m x 20m x 25m) in Canadian facilities. These studies include higher-statistics simulations of rare Standard Model backgrounds, FPGA implementation of trigger algorithms that would permit an “LLP trigger” to be sent to CMS, and "test stands" at the University of Victoria and the University of Toronto.

Speaker: Runze Ren

10:45 Switched At Birth: Born Lepton Assignment of Semileptonic $t\bar{t}H$ Events

The Higgs decay to pairs of muons is extremely rare, yet it still provides the best opportunity to measure Higgs couplings to the second generation fermions. A recent search using the ATLAS detector on the Large Hadron Collider has established evidence for this decay at the level of $3.4~\sigma$. In this search, events are categorized based on the production mode of the Higgs boson. One such category is the associated production of the Higgs with two top quarks ($t\bar{t}H$), which is one of the easiest to separate from background processes. This is due to the decay of the two top quarks, each of which provides additional information in the event. However, this additional information can sometimes cause ambiguity in the search, specifically when one of the top quark decays includes a muon. In these cases, it is not clear which two muons come from the Higgs, and which is from the top decay. The default strategy for selecting the Higgs candidate muons is inefficient in these cases, only recovering the correct muons 60% of the time. This talk investigates strategies for improving the selection of Higgs candidate muons in semileptonic $t\bar{t}H$ events which successfully recover the correct muons more than 90% of the time.

Speaker: Ian Alejandro Ramirez-Berend (Carleton University (CA))

CAP_IRB_ttHmumu_23Jun26.pdf

11:00 Shedding light on the dark sector with DarkLight

The nature of dark matter remains one of the largest open questions in particle physics. Despite numerous theories and experimental searches, both small-scale and large-scale, it has so far remained unobserved at the particle level. The DarkLight experiment located at TRIUMF in Vancouver, Canada aims to leverage the ARIEL electron linear accelerator to search for a new dark sector force carrier in the 10-20 MeV mass range. Such a force carrier could undergo kinetic mixing with Standard Model photon, and thus could provide possible explanations for experimental anomalies such as the X17. As the DarkLight experiment has recently been installed and commissioned, this talk will primarily focus on progress up to this point and future plans.

Speaker: Laura Miller (TRIUMF)

DarkLight_CAP2026.pdf

11:15 Systematics and Calibration for the KDK+ experiment

KDK and KDK+ research is focused on measuring the rare decays of Potassium-40
(40K). The KDK experiment recently recorded the first experimental measurement
of 40K electron capture decay directly to the ground state of 40Ar. KDK+ will follow
this with an experiment aimed at obtaining a refined experimental decay constant
for the β+ decay in 40K as the currently accepted value is in tension with modern
theoretical predictions. The initial measurement will be performed using a liquid
scintillator due to a high counting efficiency for β+ decays, and they can be loaded
with a variety of chemicals for calibration purposes. This liquid scintillator will be
contained in a 300 mL vessel with PMTs placed on either end and placed in the
centre bore of an annulus with four Sodium Iodide crystals surrounding it
measured by PMTs. The experiment will use a liquid scintillator loaded with
40K. The emitted positron will be detected in the liquid scintillator itself, while the
two 512 keV gammas from its annihilation will be detected by an NaI annulus
around the liquid. This apparatus requires systematic calibration of the NaI
crystals, the liquid scintillator, and the PMTs measuring them. Work has been
done to calibrate the liquid scintillator vessel, as well as an extensive investigation
into the methodology for loading potassium into a liquid scintillator. We have also
studied the light yield of the loaded liquid scintillator, as well as its stability over
durations of several weeks and compared these results to known stable
scintillators.

Speaker: Cameron Ingo (Queen's)

CAP2026.pdf

11:30 Studying electrical petals for the ATLAS Inner Tracker Upgrade using a micro-focused X-ray beam

For the High-Luminosity Upgrade of the Large Hadron Collider, the ATLAS experiment will replace its current Inner Detector with the all-silicon Inner Tracker (ITk), which consists of pixel and strip systems. Relative to the current detector, the ITk features larger forward coverage, an order-of-magnitude increase in granularity, and improved radiation hardness. The ITk strip system's forward detectors or "end-caps" will consist of 7,000 silicon sensor modules. These modules are mounted onto large, double-sided support structures called "petals" which provide readout, control, power, and cooling to the underlying modules. Canada is responsible for assembling 1,500 modules into petals, corresponding to approximately 83 petals or 22% of the end-cap detectors.

This contribution presents the test results of a Canadian-made petal in an X-ray beam at the Diamond Light Source in Didcot, United Kingdom. It is the first ever beam test of a petal and the largest subassembly of the ITk tested in a beam to date. The beam test demonstrated the ability to reliably operate a petal for many hours. Additionally, the micron-level precision of the X-ray beam can resolve individual readout channels, enabling simultaneous measurements of mechanical properties on both sides of the petal. These mechanical properties inform the physics performance of the detector and include the relative placement of modules, which affects the hermiticity of the detector, and the relative rotation of modules, which affects the intrinsic resolution of the detector. The measured properties demonstrate excellent consistency with their specifications, verifying the quality of the petal assembly procedure. Altogether, this measurement serves as an example for future beam tests of large detector components.

Speaker: Matthew Basso (TRIUMF (CA))

Studying electrical petals for the ATLAS Inner Tracker Upgrade using a micro-focused X-ray beam.pdf

10:15 → 12:00 (DCMMP) T1-12 Hard Matter 4 | Matière dure 4 (DPMCM)

Convener: Kirill Samokhin (Brock University)

10:15 Analyse d'une chaîne SSH avec un soliton parfaitement localisé

On verra l'impact sur le spectre d'énergie et les états propres du modèle SSH qu'entraîne l'inclusion d'un soliton parfaitement localisé sur la frontière topologique entre deux configurations topologiques de la chaîne. Cette présentation porte aussi bien sur le cas infini que sur tous les cas finis possibles. Dans le cas infini, on observera l'apparition de nouveaux états d'interface de haute ($k$ imaginaire) et de basse ($k$ complexe) énergie. Dans le cas fini, on constate que les états de bord typiques du modèle SSH s'hybrident avec ces états d'interface de basse énergie pour créer de nouveaux états. On détermine les différentes valeurs de $r_{\textup{c}}$ auxquelles se produisent les transitions entre les configurations possibles. Enfin, on établit une expression analytique pour chaque type d'état propre dans tous les cas étudiés.

Speaker: Nicolas Levasseur (Université de Montréal)

10:30 Scanning Tunneling Microscopy study of the surface confined self-assembly of aldehyde functionalized molecules on Au(111)

The formation of one- and two-dimensional (1D & 2D) molecular structures at the nanoscale rely on the self-assembly of organic molecules with interacting functional groups on solid single crystal substrates. Molecules containing aldehyde functional groups are promising candidates for the formation of 2D self-assembled networks and the subsequent formation of robust covalent networks [1,2].
We have studied the adsorption of a molecule with a pyrene core functionalized with four benzaldehyde groups on the Au(111) surface at room temperature using scanning tunneling microscopy (STM) and density functional (DFT) simulations. We identify several 1D and 2D molecular arrangements which depend on molecular coverage.
At low coverage, deposition yields a mixture of 1D and 2D molecular arrangements. The 1D structures are characterized by a periodic arrangement of molecules spaced 2.07 ± 0.01 nm apart. Our combined STM-DFT data indicate that the chains incorporate Au ad-atoms bridging between the aldehyde groups of adjacent molecules. The ab-initio simulation yields a stabilization energy of -4.65 eV/molecule with an intermolecular spacing of 2.03 nm in close agreement with experiment.
The 2D structure is a mix of regions of “stacked” self-assembly, and porous regions in which the stacked structure incorporates an ordered arrangement of molecular vacancies. STM and DFT indicates assembly is driven by the alignment of four aldehyde groups on neighbouring molecules.
At higher coverage, a staggered close-packed arrangement was formed led by hydrogen bonding between the oxygen atoms of the aldehyde groups and phenyl hydrogen of the adjacent molecules. DFT yields a stabilization energy of –4.57 eV/molecule.
Post annealing experiments were performed from room temperature up to 500 K in 25 K intervals to investigate the evolution of the structures. Some changes were observed and will be discussed. Most notable are changes in all the structures at 450 K which suggest chemical changes in the networks indicating the formation of 1D/2D covalent structures.

[1] Cao, N. et al. (2021), Nanoscale, 13, 19884.

[2] Díaz Arado, O. et al. (2015), Chem. Commun., 51, 4887.

Speaker: Dr Hamzeh Nakhaei Niya (Lakehead)

10:45 Anomalous Peak Current Observed in Scanning Tunneling Microscopy IZ Spectra of Silicon

The magnitude of the tunneling current at a fixed bias in scanning tunneling microscopy (STM) is exponentially dependent on the distance between the tip and the sample as observed by recording IZ spectra. Here we report reproducible IZ spectra recorded over Si(100), with and without H-termination. While spectra taken over a dangling bond display an initial rise in current with decreasing tip-sample separation, current reaches a peak and then decreases in the regime of tip-sample contact. Jelinek et al previously reported similar behavior in a study of Si(111)-7x7 [PRL 101, 176101 (2008)].
In an effort to better understand the nature of the phenomenon we expand the scope to include study of single dangling bonds (DBs), contiguous patches of many DBs, and fully hydrogen terminated Si on n-type H-Si(100)-2⨉1. Our results show that while DBs and DB patches show current reduction in the contact regime, current recorded over H-Si continues to increase with reduced separation.
Two distinct theoretical models accounting for the observed peaked IZ curves are discussed. In the first model, the onset of covalent bonding with reduced separation between tip and sample is seen to initially lead to increasing current; but as a repulsive regime is entered, strained bonds and less favourable electronic interactions among multiple atoms in the contact area result in reduced current. In the second model, the broadening of a discrete state (dangling bond) in the presence of a continuum (metal tip states) is seen to lead to decreased transmission on close tip approach.
We will discuss the merits of the two models.

Speaker: William Brunt (University of Alberta)

10:15 → 12:00 (DPMB) T1-2 Quantitative Biomedical Imaging and Sensing I | Imagerie et détection biomédicales quantitatives I (DPMB)

Convener: Yuan Xu (Department of Physics, Toronto Metropolitan University)

10:15 Confidence Through Imaging: Guiding Radiation to Better Cancer Care

Radiation therapy is an important modality in the care of many cancer patients.  It can be used to shrink or eliminate tumours, prevent microscopic disease spread and relieve pain.  In all cases, the safety and efficacy of the treatment rely on the geometric accuracy of the delivery of the radiation. The introduction of image guidance in radiation therapy has enabled the delivery of highly targeted radiation doses, leading to improved patient outcomes as well as reduced side effects. Image guidance in radiation therapy has been so effective at augmenting the capabilities of the technology that it is now a standard component of most modern radiation therapy delivery systems. In this presentation, I will lay the foundation for understanding the impact of image guidance on the treatment of cancer with radiation. With a focus on our experience at The Ottawa Hospital Cancer Centre, I will outline how image guidance has enabled advances in treatment delivery techniques. Finally, I will explore how some of these advances in technology and computer science are allowing us to use image information to adapt the radiation dose distribution as a given treatment progresses.

Speaker: Dr Claire Foottit (Department of Radiology, Faculty of Medicine, University of Ottawa)

10:45 Establishing the limit of detection of laser-induced breakdown spectroscopy for Escherichia coli in artificial cerebrospinal fluid for the diagnosis of bacterial meningitis

Bacterial meningitis is a severe and potentially lethal infection of the meninges, afflicting more than a million people per year globally. Delays in treatment have been shown to increase both mortality rates and the strain on the healthcare system. In an effort to develop a near-instantaneous and clinically simple diagnostic test for bacterial meningitis, our group has shown that laser-induced breakdown spectroscopy (LIBS) has the capability to detect bacterial pathogens in various media to a high-degree of accuracy, including Escherichia coli and Mycobacterium smegmatis in artificial cerebrospinal fluid (aCSF) to simulate a meningitis infection. Ongoing work seeks to establish the current detectable limit of bacterial presence within aCSF and subsequently reduce the lower bound, as needed, to create a viable diagnostic tool.

In this work, the lower limit of detection of LIBS was determined by assaying several concentrations of E. coli in aCSF on a nitrocellulose medium. Optical densitometry measurements were performed to measure and fix concentrations of eight test suspensions. Dilutions ranging from 26 500 down to 180 colony forming units per laser shot were created. A 1064 nm Nd:YAG laser with 8 mJ pulse energy was focused to 100 µm spot size. Each laser shot created a microplasma and the resulting atomic emission was dispersed by a high-resolution Échelle spectrometer to produce a spectrum spanning 200 nm to 800 nm. An artificial neural network with principal component analysis preprocessing was constructed to identify the presence of bacterial cells in the spectra. In addition, a partial least squares discriminant analysis was performed on a model comprised of 15 line intensities of observed elements from the full spectrum. Both models were used to ascertain the lower limit of detection.

The sensitivities and specificities of each test will be presented. The lower limit of detection from these data will be analyzed and discussed. Future studies contributing to the reduction of this lower bound will be discussed, including dismembrating samples, introducing a double-centrifugation system, and investigating the dependence of this lower limit on the ablation laser wavelength.

Speaker: Mr Abdullah Mustafa (University of Windsor)

11:00 Optical assessment of the hemodynamic and metabolic response to elevated intracranial pressure in piglets

Elevated intracranial pressure (ICP) is a common postnatal complication in premature infants and poses life-threatening risks to the developing brain. While early detection is crucial to patient outcomes, limited diagnostic techniques currently exist for continuous monitoring. The objective of this work was to assess the sensitivity of cerebral hemodynamics and metabolism to abrupt increases in ICP. Data were collected from 7 newborn piglets using an in-house built hybrid near-infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS) system. The NIRS subsystem was developed by pairing a broadband halogen lamp for emission with a charge-coupled-device-based spectrometer for detection. The DCS subsystem consisted of a 785-nm, long-coherence length laser for emission and a single photon counting module for detection. A fitting routine based on the diffusion approximation for a semi-infinite homogenous medium was used to quantify NIRS/DCS parameters. Specifically, NIRS was used to quantify hemoglobin oxygenation to assess the microvascular oxygen supply-consumption balance, as well as the redox state of cytochrome-c-oxidase to assess aerobic metabolism. DCS was used to monitor cerebral blood flow. ICP was gradually increased with a saline infusion into the ventricles. Segmented linear regression of cerebral blood flow, oxygenation, and metabolism revealed distinct breakpoints in the ICP level beyond which the slopes of changes in the parameters became substantially steeper. More specifically, while cerebral blood flow and hemoglobin oxygenation rapidly decreased with the induction of intracranial hypertension, the redox state of cytochrome-c-oxidase remained stable, indicating preserved metabolism despite the early hemodynamic compromise. These findings suggest the existence of compensatory mechanisms that resist hemodynamic and metabolic changes until a critical threshold of ICP is exceeded. This hybrid NIRS/DCS system is a promising non-invasive neuromonitoring tool for detecting early signs of elevated ICP to guide clinical management. Future work will aim to validate these findings in a diverse clinical population.

Speaker: Prof. Mamadou Diop

11:15 Characterization of ionizing radiation induced changes in MC38 murine colon carcinoma cells using Raman spectroscopy

Purpose
To develop a high-resolution Raman spectroscopy (RS) technique that can detect biochemical changes induced in MC38 murine colon carcinoma cells exposed to a range of doses of ionizing radiation.

Methods
MC38 cells were cultured on quartz substrates and irradiated using 6 MV X-rays from a medical linear accelerator to doses of 0, 0.25, 0.5, 1, 2, 5 and 10 Gy. The cells were fixed at 24 and 48 hours post irradiation, with two independent sample sets prepared for each timepoint. Confocal Raman measurements were performed using a custom-built microscope with a 785 nm excitation source and a spatial resolution of 1 µm. Raman spectra from individual cells were collected over a 3 x 3 grid with a 3 µm step size over a 7 x 7 µm² intracellular region of interest. For each dose and timepoint, a total of 25 or 100 cells were sampled from. All data was subjected to standard spectroscopic preprocessing including vector normalization. Partial Least Squares Discriminant analysis was utilized to perform binary classifications between doses, and the subsequent loadings vectors were used to identify specific Raman bands associated with exposure to radiation.

Results
Several features of the MC38 Raman spectrum demonstrated dose-dependent changes in response to radiation. At higher doses (5, 10 Gy) significant decreases of up to 30% compared to controls (0 Gy) were observed for Raman bands corresponding to DNA/RNA (782, 813, 1089, 1336, 1575 cm^-1), suggesting a decrease in concentration of DNA/RNA due to exposure to ionizing radiation. Conversely, the relative intensity of some peaks associated with proteins (1001, 1448, 1665 cm^-1) increased by up to 20%. Comparing the 24 and 48 hr timepoints shows that some features associated with DNA/RNA (782, 1089, 1575 cm^-1) increased by up to 11% for the 48 hr timepoint compared to the 24 hr timepoint.

Conclusions
Our work demonstrates the ability of RS to delineate the biochemical response of MC38 cells to ionizing radiation and has potential applicability to the low-dose exposure range (<0.1 Gy) encountered in environmental, occupational and clinical settings.

Speaker: Connor McNairn (Carleton University)

11:30 Monte Carlo evaluation of energy deposition for a novel system for microdosimetry and cell radiation response

Purpose: The overarching goal is to develop a novel microdosimetry system for investigating energy deposition and cellular responses to low-dose radiation using Raman spectroscopy (RS) and Monte Carlo (MC) simulations. The present work focuses on establishing the MC simulation framework used to quantify stochastic energy deposition within cells and at the cell-detector interface.

Methods: MC38 murine cancer cells are cultured directly on the radiochromic film (RCF), forming an integrated cell-detector system for simultaneous assessment of cellular dose deposition and biological response. Each plate containing the cells-RCF setup is irradiated using a 6-MV clinical linac photon beam with doses ranging from 0-500 mGy. MC simulations of radiation transport and energy deposition are performed using EGSnrc (egs_brachy) to replicate the experimental irradiations. Specific energy (z = energy/mass) is quantified within (i) individual cell nuclei (ii) RS sampling volumes ($6~\mu\text{m}^3$, 3×3 grid) within the nucleus, and (iii) the active layer of the RCF to investigate cell-detector dose correlations.

Results: MC-derived specific energy distributions reveal pronounced stochastic variation in energy deposition in cells at low doses. The relative standard deviation of specific energy ($\sigma_z$/ z̄) within cell nuclei decreases with increasing dose, from 52% at 3.5 mGy to 4% at 500 mGy, reflecting reduced variation in energy deposition at higher doses. Comparison of the mean specific energy (z̄) deposited in cell nuclei (n=189) with that deposited in the RCF active layer directly beneath the cells shows close agreement, with differences <2% across all doses. The mean specific energy within RS-relevant sampling volumes also agrees with that in the RCF within 2% across the full dose range.

Conclusion: MC simulations show close agreement between energy deposited in cell nuclei and underlying RCF validating the integrated cell-RCF system for microdosimetry. Ongoing work includes RS analysis of irradiated cells, complementary cell viability and toxicity assays, and the application of machine learning methods to directly correlate MC-derived microdosimetric quantities with radiation-induced biochemical changes measured by RS.

Speaker: Prarthana Pasricha (Carleton University)

PPasrich_CAP2026.pptx

Supporting_document_CAP2026.pdf

11:45 Magnetically Ordered High-Spin FeS₂ with Enhancement Coil Compatibility for Biomedical Low-Field MRI and Stem Cell Tracking

Current clinical magnetic nanomaterials (e.g., Ferumoxytol, Gd-DTPA) exist limitations in narrow imaging window, magnetic susceptibility artifact, and biosafety. Pyrite (FeS2) as a mineral drug with inherent biocompatibility and transition metal dichalcogenide functionality, shows prospect but exhibits weak magnetism due to the low-spin (LS) state of Fe2+ in coprecipitation synthesis. Herein, we reported a strategy using alternating magnetic field (AMF)-coupled coprecipitation to prepare high-spin (HS) FeS2 via spin reconstruction, which achieved LS-to-HS Fe2+ spin transition without exogenous elements. HS-FeS2 exhibited long-range ordering of spin structure mediated by super-exchange interaction, thereby enhancing MRI field gradient response and imaging resolution, not only providing a magnetic candidate with clinical translational potential but also a novel quantum-level strategy to for performance optimization. Leveraging the intrinsic high-spin characteristic of FeS₂, which stems from its unique d-band electronic configuration, the integration of a dedicated MRI enhancement coil promotes the ordered alignment of magnetic moments in the material. This synergistic combination enables high signal-to-noise ratio (SNR) imaging both in vitro and in vivo even under low-field (1.5 T) MRI conditions, effectively overcoming the signal constraints of low-field systems. Ultimately, this optimized imaging platform holds substantial promise for the longitudinal tracking of stem cell differentiation and therapeutic efficacy in preclinical glioma models, thereby laying a foundation for the clinical translation of FeS₂-based magnetic nanomaterials in biomedical imaging.

Speaker: Yuxuan Wang (THE University of Winnipeg)

10:15 → 12:00 (DAMOPC) T1-3 Photonic Devices to Quantum Communication | Dispositifs photoniques á communication quantique (DPAMPC)

Convener: Dr Duncan O'Dell (McMaster University)

10:15 Optimization of nanoscale surface textures for enhanced light management in photonic devices

III-V semiconductor photonic devices, including solar cells and photonic power converters, have superior conversion efficiencies compared to their silicon counterparts. However, high material costs limit widespread use. Light trapping strategies such as nanoscale surface texturing can enhance absorption and improve device performance. In this work, a 3D optical model was employed to investigate front surface texturing for light management in gallium arsenide (GaAs)-based photonic devices. Finite-difference time-domain simulations were used to solve Maxwell’s equations and compute the electric field distribution under 850 nm illumination at a power density of 1 W/cm². The optical electron-hole pair generation rate in the GaAs absorber layer was used as a figure of merit for light trapping. Texture dimensions were optimized using a particle swarm algorithm, and multiple pattern geometries were compared. Square textures were found to be better than circular ones, and optimized surface texture designs achieved a >2X improvement in generation rate relative to an untextured surface. These results indicate the promise of surface texturing for improved light management and higher III-V photonic device efficiency. Ongoing work focuses on incorporating a back reflector to further enhance device performance.

Speaker: Alison Clarke (University of Ottawa)

10:30 Diffusion of light-driven bacteriorhodopsin nanodiscs

This project investigates bacteriorhodopsin (bR) embedded in lipid nanodisks as a potential light-activated nanoscale motor. Bacteriorhodopsin pumps ions when exposed to light, which we hypothesize will act as a source of propulsion for the nanodisks, in addition to their Brownian diffusion. We construct bR-nanodisk “particles” and study their motions in the absence and presence of light. Using fluorescence correlation spectroscopy (FCS), we measure how photoactivation affects the diffusion of light-activated particles, compared to inactive controls. This study will help determine whether light can drive active motion at the nanoscale and contribute to a better understanding of nanoscale transport processes in biological and synthetic systems.

Speaker: William Seavey (University of Guelph)

10:45 Photoactive Silver Nanoclusters with Optically Switchable Ligands for Organic Solar Cell Applications

Different from inorganic thin-film solar cells relying on stacked donor (p-type doped) and acceptor (n-type doped) layers of the same material, the photoactive layer of polymeric organic photovoltaics (OPVs) make use of two distinct polymer donor and molecular acceptor materials. These are mixed at the nanoscale in a bulk heterojunction thin film to capitalize on the very fast relaxation rates and short diffusion lengths of electron-hole (e-h) pairs in organic soft matter. While the root cause for short e-h lifetimes in organic semiconducting polymers is still an intriguing subject of debate, a lot of the underlying photophysics can be understood by utilizing, in an OPV device, novel 'smart' molecular acceptors with precisely controlled optical properties which can act as 'photo-switches' turning 'on' and 'off' the e-h pair diffusion and dissociation through a change in their conformation.
Our research addresses this challenge by fabricating specific bi-functional systems based on molecular nanoclusters. Metallic nanoclusters containing a deterministic number of metal atoms sit at the intersection between molecular materials and metal nanoparticles, and they are uniquely suited to this end. Our approach utilizes a carbonate-templated Ag₂₀ nanocluster, designed in-house, which has been surface-functionalized with azobenzene derivatives to impart a photo-switchable behavior. The precise atomic structure of the functionalized nanocluster was confirmed by single-crystal X-ray diffraction (SCXRD). Not only this tailored ligand shell enables optical 'on'/'off' control but also confers significant photostability, greatly slowing the oxidation of the Ag₂₀ silver core. Reversible trans-cis isomerization was monitored via ultraviolet-visible (UV-Vis) optical spectroscopy, showing near-quantitative conversion and robust cyclability. The ability to optically modulate the cluster’s electronic properties highlights its potential as a molecular switch for photovoltaic activity in OPVs. Current work focuses on exploring the solid-state properties and integrating C₆₀/C₇₀ fullerenes to realize a single-component switch-acceptor hybrid material.

Speaker: Mr Michael Szukalo (Western University)

11:00 Design and Behavior of Multistack Layer–Based Spaceplates

The physical size of optical imaging systems is one of the greatest constraints on their use, limiting the performance and deployment of a range of systems from telescopes to mobile phone cameras. Spaceplates are nonlocal optical devices that compress free-space propagation into a shorter distance, paving the way for more compact optical systems, potentially even thin flat cameras. Here, we explore the behaviour of a multistack layer based spaceplate and its limits.

Speaker: Yaryna Mamchur (University of Ottawa)

CAP 2026.pdf

11:15 A Tunable Platform for Writing Multiplexed Volume Holograms

Within both science and industry, volume holograms have found countless applications; examples include data storage, signal processing and structured light generation. In practice, a hologram is produced by the interference of two light waves (reference and object) on a photosensitive medium. The resulting interference pattern is imprinted onto the medium as a modulation in its refractive index or transmission. With holography, it is possible to create holographic optical elements (HOE) that apply transformations to the input field using principles of diffractions. Volume Bragg gratings (VBG) are among the simplest HOEs. A VBG is a device whose periodic refractive index causes it to diffract light within a narrow angular range (called the Bragg condition) while leaving any other light unaffected. They can be created holographically if both writing waves are plane waves and the recording material is thick relative to the wavelength of light used. While the production of single VBGs is a straightforward task, there has been a growing interest in manufacturing VBGs that are multiplexed, namely, several VBGs overlapping with different Bragg angles and orientations at the same position in the medium. Recent work on multiplexed VBGs has been based on writing holograms sequentially by making manual adjustments. These schemes lack flexibility in the kinds of holograms that can be written and do not lend themselves well to automating the task.

We present a configuration for holographically writing multiplexed VBGs using a spatial light modulator (SLM) that requires no moving parts. A beam is sent to a single SLM, where it is split into two beams separated by a programmable angle. These pair beams are recombined on a holographic plate in a Mach-Zehnder-like configuration, with lenses ensuring they strike the same area regardless of their separation at the SLM. Rapid switching of the SLM pattern allows for several VBGs to be written in a cyclical fashion. The approach promises great flexibility in the breadth of holograms that can be multiplexed with little effort on the part of the user.

Speaker: Simon Lamontagne (University of Ottawa)

11:30 Dispersion Profile Engineering for Quantum Communication via Optical Solitons and Integrated Microresonators

Optical solitons and microresonator frequency combs offer a powerful platform for quantum communication, but their performance is critically determined by the underlying dispersion profile of the guiding structure. This work explores dispersion engineering strategies for integrated waveguides and ring resonators to realize controlled anomalous group-velocity dispersion suitable for soliton formation, low-distortion pulse propagation, and quantum state preservation [1].
Waveguide cross-sections are optimized to obtain smooth, weakly anomalous dispersion near the quantum channel wavelength, while accounting for realistic material dispersion and Kerr nonlinearity. This approach is extended to ring resonators, where geometric design and azimuthally modulated structures shape the integrated dispersion of cavity modes. The resulting engineered dispersion profiles support fundamental soliton propagation, dispersion-managed long-distance links, and microcavity Kerr solitons[2].
Design guidelines are provided for on-chip sources and channels tailored to time-bin and phase-encoded quantum communication protocols, enabling preservation of phase and photon-number correlations essential for quantum information processing.

Speaker: Zara Tehrani (Carleton University)

11:45 Discussion / Networking

10:15 → 12:00 (DCMMP) T1-4 Data-Driven Approaches | Approches fondées sur les données (DPMCM)

Convener: Brennan Cornell (Trent University)

10:15 G4CMP -- Simulating condensed matter physics with Geant4 in dark matter research and quantum information science

Detector technologies based on solid-state devices are of growing interest in both academic and industrial research. Understanding their performance limitations and finding effective mitigation strategies are therefore high priorities. Among the common tools to study device performance are Monte-Carlo simulations. In high-energy particle physics, the Geant4 toolkit is broadly used to simulate the response to various types of radiation hits. Many research groups are now pursuing detailed simulations of radiation effects on solid-state devices for a variety of applications such as dark matter experiments and quantum computing with superconducting qubits. The Geant4 Condensed Matter Physics (G4CMP) package provides an extension of solid-state physics to the particle physics simulation suite in Geant4. At its core, G4CMP introduces quasiparticles such as phonons and charge carriers, which are freed in particle interactions in cryogenic crystals, and governs their propagation in the substrate and absorption in thin-film sensors according to its implemented physics models.
In addition to presenting the physics and features supported by G4CMP and recent developments, this talk outlines example applications from the dark matter and quantum information science communities.

Speaker: Stefan Zatschler (Laurentian University, SNOLAB, University of Toronto)

CAP2026_G4CMP_szatschler_animation.pdf

CAP2026_G4CMP_szatschler.pdf

10:30 Transport in close-packed solids with stacking faults

Intuition suggests that, given its simple electronic configuration, the physical characteristics of metallic lithium should not be riddled with many surprises. This intuition, however, does not belie the lesser-known fact that it's low-temperature crystal structure has, to this day, eluded determination, despite decades of active study.

The various crystal structures (fcc, hcp, 9R, etc.) which have been proposed for lithium are all examples of close-packed solids. Previously, we have traced the indeterminacy in its crystal structure to a hidden gauge symmetry in the electronic Hamiltonian, which forces all close-packed structures to have the exact same band structure. Small perturbations, such as the admixture of p-orbitals, or phononic contributions to the free energy, destroy the symmetry and lead to the phenomenon of `state selection', as in the field of frustrated magnetism.

In this presentation, we will investigate whether or not this gauge symmetry is respected in transport measurements. Starting from the Bloch Hamiltonian, we derive an analytic formula for the surface Green's function (GF) of a semi-infinite, close-packed stacking. With electronic hoppings cut off beyond the second nearest-neighbour, we combine the GF with the Landauer-Buttiker formalism to show that all close-packed solids are indeed characterised by exactly the same conductance. The inclusion of the third nearest-neighbour hopping, which gives rise to an hcp-like "stacking fault", renders the conductance sensitive to the stacking sequence and disrupts the symmetry. When many such stacking faults are present, wavefunction localization suppresses the transmission altogether. Our results may be pertinent to metallic lithium under pressure, which is known to adopt a clean fcc structure. Transport measurements may then reflect signs of stacking faults.

Speaker: Connor Wilson

10:45 A simple holographic principle for bonding in real materials

The crystal structures of transition metal dichalcogenide materials (TMDs) with metal atoms from group 7 of the periodic table (“$d^3$” TMDs), such as ReS$_2$, are known to be distortions of a triangular lattice. Similarly, the crystal structures of some pnictogen solids, such as elemental antimony, are distortions of a simple cubic lattice. The atoms in these materials are known to form covalent bonds. We model covalent bonding by constructing dimer models on the triangular lattice and simple cubic lattice. In these models, a dimer is a line drawn on the lattice to represent a single bond. Dimers are allowed to interact and move, with the lowest-energy arrangement interpreted as yielding the crystal structures of the materials. The energy is written down on physical grounds: bonds that are closer interact stronger. As each atom forms three covalent bonds, there are three dimers that touch at each site – a local “trivalent” constraint. Additionally, no two dimers that touch at a site can be parallel – a local “bending” constraint that arises from intra-orbital repulsion. Due to these constraints, there is no local dynamics. The constraints also cause dimers to form long-ranged patterns across a system. We therefore know the structure of dimers within a bounded system by observing dimers on its surfaces – a holographic principle. We construct phase diagrams of dimer structures on both lattices as energy parameters are varied. We find a phase that resembles the crystal structure of $d^3$ TMDs, while every phase on the cubic lattice resembles both experimentally observed and theoretically stable structures of pnictogen solids. Thus, the holographic principle in our models describes structures of real materials. It might be possible to harness holography for information storage and for understanding and manipulating their mechanical or electronic properties.

Speaker: Ashland Knowles

11:00 Numerical study of Li ion diffusion in Li-M alloys using machine-learning assisted canonical sampling

The incorporation of binary Li-M alloys into anode architectures for solid-state batteries has attracted considerable attention due to their high capacities and effectiveness in suppressing dendrite formation. Numerical simulations of Li-ion diffusion in bulk structures, on surfaces, and at interfaces supports the design of suitable anode architectures with fast Li-ion transport. In this prospect, we investigate the Li-ion migration in Li-rich Li(1-x)Mx alloys (M = Mg, Zn, and Sn; x ≤ 0.5) from first principles. We quantify the vacancy formation energies, and compute the diffusion barriers using nudged elastic band (NEB) calculations. A transition path sampling scheme based on machine-learning-assisted canonical sampling (MLACS) is employed to accelerate the NEB calculations. We show that this scheme allows to reduce computational costs by two orders of magnitude compared to conventional DFT-NEB calculations for supercells containing more than 100 atoms, thus enabling the screening of promising alloy structures for anode applications.

Speaker: Hoan Tran Van (Institut de recherche sur l’hydrogène, Université du Québec à Trois-Rivières, 3351, boulevard des Forges, Trois-Rivières (Québec) G9A 5H7, Canada)

Study of Li ion diffusion in Li-Mg, Li-Zn, and Li-Sn alloys using transition path sampling in MLACS_HoanTV.pdf

Study of Li ion diffusion in Li-Mg, Li-Zn, and Li-Sn alloys using transition path sampling in MLACS_HoanTV.pptx

11:15 Simmering: Physical is Better than Optimal for Training Neural Networks

Neural networks model complex phenomena within and beyond physics by leveraging their universal estimation capacity. However, this universality interferes with generalizability when combined with optimization-based training. This tension is exemplified by the prevalence of overfitting, where naive optimization drives networks into overspecified representations that deviate from underlying phenomena. Phenomena can be better represented by collections of networks, but many so-called “ensemble”-based approaches are still undermined by the intrinsic difficulty of reconciling optimization-based training with noisy data. Nonetheless, observed improvements from “ensemble”-based methods suggest that less-haphazard ensemble generation approaches that leverage physical insight could improve neural network training.

In this talk, we show that physics-based ensemble methods outperform optimization-based training. Rather than seeking optimal networks, our sufficient-training approach generates “good enough” weights and biases, which, paradoxically, outperform leading optimization-based approaches. We resolve this apparent paradox using information theory to show that sufficient training provides a minimally-biased representation of the underlying phenomenon. Our results show that straightforward, physics-based approaches can supplant optimization for training transformers, and feedforward and convolutional neural networks, by offering superior training performance and powerful insights for neural networks in physics applications and beyond.

Speaker: Irina Babayan

11:30 Machine Learning Approach to Identify and Quantify Nanoscale Variations in the Mechanical Properties of Soft Nanoparticles

Atomic force microscopy force spectroscopy (AFM-FS), in which the AFM tip is pressed into and retracted from a surface to generate force-distance curves, can be used to obtain high resolution maps of the topography and mechanical properties of materials. This technique generates a large amount of data where each pixel in an image corresponds to a single force-distance curve. AFM-FS has been widely used to characterize lateral inhomogeneities in samples such as composite materials, polymer blends, and particles on a surface. With inhomogeneities on small, nanoscale length scales, it is challenging to resolve and quantify the properties of the different regions. By engineering several features from force-distance curves that differentiate the mechanical properties of the different regions, including stiffness, adhesion, and indentation depth, we have trained machine learning classifiers to identify phytoglycogen (PG) nanoparticles on a surface as well as regions of different mechanical properties within individual PG nanoparticles [1]. PG is produced in the kernels of sweet corn as soft glucose-based nanoparticles with an underlying dendritic architecture. AFM-FS measurements of these samples in water result in force-distance curves with different features due to the difference in the mechanical properties of the soft nanoparticles and the surrounding hard substrate. In addition, because of their dendritic architecture, there are variations in the mechanical properties within individual PG nanoparticles, which can be interpreted as a softer outer region and a stiffer inner region [2]. By training supervised and unsupervised machine learning classifiers to identify the soft nanoparticles on the hard surface as well as to distinguish the stiffer inner region and softer outer region within each nanoparticle, we have quantified the nanoscale properties of the nanoparticles, such as the particle modulus, the difference in modulus between the inner and outer regions, and the length of the exterior glucose chains. Our approach highlights the advantages of machine learning classifiers as a powerful tool in identifying and quantifying different regions within laterally inhomogeneous samples, and it shows promise for application to other soft matter and biological systems.

[1] B. Baylis et al., Soft Matter (2026).
[2] B. Baylis et al., Biomacromolecules 22, 2985 (2021).

Speaker: Dr Benjamin Baylis

10:15 → 12:00 (DPE) T1-5 Program Changes and Interdisciplinary Innovation | Évolution des programmes et innovation interdisciplinaire (DEP)

Convener: Miranda Schmidt

10:15 Piloting Inquiry-Based Learning in First-Year Physics for Engineers

Curriculum change within universities is usually slow and incremental. In contrast, Physics Education Research has matured rapidly over the past decades, giving us clear evidence about which pedagogies reliably improve student learning. The gap between what we know and what is routinely implemented in practice is often wide and continues to grow.

PHYSICS 1D03/1E03, the first year mechanics and E&M courses for engineering students at McMaster, present a rare opportunity to help close this gap. Prompted by institutional changes, the department has elected to overhaul these courses completely. Rather than a series of small tweaks, we are rebuilding them from the ground up.

While all course components are changing, lectures and labs anchor the redesign. The new lecture structure emphasizes student exploration and collaborative problem solving in real world engineering contexts. Building on the wealth of active-learning research, we are adopting a Productive Failure model that introduces challenging, meaningful problems early to promote deeper sense making and motivate learning. Meanwhile, the lab program is shifting from prescriptive, confirmatory exercises to inquiry based labs that prioritize experimental technique, decision making, and expert-like habits of mind.

This talk will describe the rationale and process behind the overhaul, including consultations with stakeholders, learning-goal mapping, and the development of materials. The redesigned mechanics course will be piloted in May 2026, and we will report preliminary data on student engagement and learning. The emphasis will be on lessons learned in practice: what worked well, what did not, and what questions we still need to answer before full implementation with 1300 students in the Fall 2026 semester.

Speaker: Eamonn Corrigan (McMaster University)

CAP Congress 2026 - E. Corrigan.pdf

CAP Congress 2026 - E. Corrigan.pptx

10:45 From Scientist to Science Ambassador: A Graduate Course in Science Communication

Being able to communicate effectively is essential to be a successful scientist. If you can’t communicate what you did, you may as well not have done it.  Effective science communication is also critical to bridge the ever-growing divide between those that “do” science and those that do not. Combatting the various echo chambers of anti-science is more important than ever, yet educational institutions do not typically focus on providing public-facing communication skills. We developed a faculty-wide science communication course to help graduate students learn how to communicate with folks outside their field of study, including the public. In this presentation, we review the course outline and goals, giving a taste of our approach in teaching these important (and transferrable) skills.

Speaker: Jo-Anne Brown

11:00 Construction de l'esprit scientifique par l'apprentissage des lois physiques: mauvais rôle de l'intelligence artificiel

L’enseignement des lois régissant des phénomènes physiques se heurte à des représentations et perceptions qui freinent le développement de l’esprit scientifique des apprenants. En effet, les conceptions des apprenants ne sont pas généralement prises en compte dans le processus enseignement-apprentissage. Lorsqu’elles sont prises en compte, elles sont comme des erreurs à corriger ou à détruire (Giordan 1987). Ces éléments ont pour conséquences une mauvaise, voire une absence d’acquisition de connaissances et de compétences chez l’apprenant du fait de la gestion inappropriée de ses conceptions. Il faut donc s’appuyer sur les conceptions de l’apprenant pour en construire de nouvelles, en se référant au processus de construction des connaissances et compétences issu de l’élaboration des lois physiques. Les conceptions des apprenants se basant de plus en plus sur des connaissances issues des sources numériques pas toujours fiables rendent ce défi plus complexe. Cette communication aura pour but tout d’abord de démontrer comment l’apprentissage des lois physiques, accompagné par une démarche pédagogique dite inductive, facilite le développement de l’esprit scientifique chez les apprenants. Ensuite, il s’agira de démontrer que ce processus est en difficulté de construction du fait qu’il fait désormais face à un usage inapproprié de l’intelligence artificielle. Enfin, nous esquissons quelques pistes de solutions pour faire de l’IA un adjuvant à la construction de l’esprit scientifique.

Speaker: Loïc NGOU ZEUFO (Cégep Beauce-Appalaches)

Ngou CAP2026.pdf

11:15 Learning By Doing: Physics of Pilates

By treating the body as a mechanical system, this interactive workshop invites participants to examine how forces and torques manifest themselves during popular Pilates low-impact exercises that most students are already familiar with and therefore can relate to. Workshop participants will develop an intuitive understanding of center of mass and the equilibrium concepts. The full scope of the workshop activities includes: pre-exercise prediction, physical enactment, and post-exercise reflection. The sense-making is facilitated by the use of multiple representations, including kinesthetic experience, free-body diagrams, and equations of static equilibrium for forces and torques. The workshop models study sessions that can be customized for university-level introductory physics class or a high school physics class studying dynamics and statics topics. The workshop encourages but does not require participants to complete Pilates exercises, therefore making it accessible to participants of varied physical abilities.

Speaker: Tetyana Antimirova (Toronto Metropolitan University (formerly Ryerson University))

10:15 → 12:00 (DNP) T1-6 New Facilities and Techniques for Nuclear Physics | Nouvelles installations et techniques pour la physique nucléaire (DPN)

Convener: Maria Zurek

10:15 TRIUMF-ARIEL: Tripling TRIUMF's RIB capabilities¶

TRIUMF's ISAC facility operates ISOL targets under high-power particle irradiation up to 500 MeV and 100 μA of current, producing Radioactive Ion Beams (RIBs) for Canadians and international nuclear and particle physics experiments. The ARIEL facility (Advanced Rare IsotopE Laboratory) is currently under construction with the objective to add two RIBs, in addition to the RIB already being produced by the existing ISAC facility. One ARIEL station will receive a driver beam of 500 MeV protons, up to 100 μA from TRIUMF’s H- cyclotron. The other ARIEL station will utilize an electron beam from the new superconducting linear accelerator, with energy up to 35 MeV and up to 100 kW beam power. The addition of these two ISOL targets enables the delivery of three simultaneous RIB beams to different experiments, while concurrently producing radioisotopes for medical applications.
This contribution will describe the target station and its completion status, and will highlight the recent qualification tests that have been performed on its core components in our offline facility. The predicted beam intensities from the additional two stations will be presented, highlighting the main strengths and weaknesses of this combined facility. Moreover, the current status of the ARIEL facilities will be discussed, along with the roadmap their completion and ramp-up.

Speaker: Luca Egoriti (TRIUMF)

CAP 2026 - Tripling TRIUMF's RIB capabilities with the ARIEL facility.pptx

10:45 Hybrid cluster algorithms and SiPM characterization for the Barrel Imaging Calorimeter at the EIC

The upcoming Electron-Ion Collider (EIC) at Brookhaven National Laboratory will study the quark and gluon contributions to the mass, spin, and dynamics of nuclear structure. The Barrel Imaging Calorimeter (BIC) at the EIC uses a hybrid system that combines high-performance sampling calorimetry based on lead-scintillating fiber (Pb/ScFi) technology with silicon sensors for shower profiling. The calorimeter integrates energy measurements from Pb/ScFi layers with precise particle position information provided by layers of AstroPix sensors. The contributions from the University of Manitoba focus on several aspects of BIC development, including hardware prototyping, clustering algorithms, and physics simulations.

The ScFi layers of the BIC use silicon photomultiplier (SiPM) based readout; therefore, fiber testing with SiPMs is a crucial component of this work. In addition, cluster reconstruction of ScFi hits follows an Island Clustering algorithm, while AstroPix follows an Imaging Topological Clustering algorithm. In this presentation, I will discuss the development of a combined clustering algorithm for both ScFi and AstroPix, as well as fiber testing using both photomultiplier tubes (PMTs) and SiPMs for readout.

Speaker: Akshaya Vijay (University Of Manitoba)

Akshaya_Vijay_CAP 2026.pdf

11:00 Ultracold Neutron Transport and Simulation Studies for the TUCAN nEDM Experiment

The TUCAN(TRIUMF UltraCold Advanced Neutron) collaboration aims to measure the neutron electric dipole moment (nEDM) with the world's highest sensitivity, $10^{-27}\,e\cdot\mathrm{cm}$, which is an order of magnitude better than the current best sensitivity. A nonzero nEDM would shed light on new sources of Charge-Parity violation beyond the Standard Model. A nonzero nEDM has the potential to answer one of the biggest mysteries in the universe, which is the matter-antimatter asymmetry problem, and this also leads us to understand why we exist in the universe. At TRIUMF, the experiment utilizes Liquid Deuterium (LD2) and Heavy water (D2O) as moderators and superfluid Helium (He-II) as a converter to produce a high ultracold neutron flux, and measures the tiny shift in neutron spin precession that indicates nonzero nEDM by precisely controlling magnetic and electric fields. To improve the sensitivity, various quantities have been analyzed, such as the neutron storage lifetime of our UCN guide, and many components, such as a Y switch that controls the direction of UCNs, have been developed to efficiently transport UCNs. Furthermore, a Monte Carlo simulation called PENTrack is used to understand the UCN behaviour in the system. In this presentation, I will introduce the purpose of the TUCAN nEDM experiment, the data analysis and simulation methods used to study the UCN transport and storage properties, and the development of the Y switch.

Speaker: Ryunosuke Chiba (TRIUMF, SFU)

Ultracold Neutron Transport and Simulation Studies for the TUCAN nEDM Experiment_CAP_v4.pptx

11:15 Commissioning Progress of PENeLOPE at TRIUMF

The neutron lifetime is a fundamental parameter in particle physics and cosmology, with important implications for tests of Standard Model consistency and predictions of light-element abundances in the early universe. More precise neutron lifetime measurements are needed both to test these predictions and to help resolve the long-standing neutron lifetime puzzle. This puzzle refers to a 3.8 σ discrepancy between neutron lifetime results from beam experiments and ultracold neutron trap experiments. While the origin of this discrepancy remains unclear, it has motivated efforts to improve experimental precision and to explore possible explanations ranging from unaccounted systematic effects to physics beyond the Standard Model, including exotic neutron decay channels.

PENeLOPE (Precision Experiment on the Neutron Lifetime Operating with Proton Extraction) is a magneto-gravitational ultracold neutron trap experiment designed to measure the neutron lifetime with a target precision of 0.1 s or better. Originally developed at the Technical University of Munich, PENeLOPE was relocated to TRIUMF in late 2023 and has since entered its first commissioning campaign at the facility. This phase focuses on reassembly of the apparatus and commissioning of the cryogenic and superconducting magnet systems. An initial cryostat cooldown attempt in early 2025 motivated a series of targeted improvements to the cryogenic infrastructure. Current efforts are directed toward implementing these upgrades and preparing for subsequent cooldowns aimed at achieving stable magnet operation and initiating magnet quench training. These commissioning activities represent key steps toward full operation of PENeLOPE.

Speaker: Dennis Salazar

Commissioning Progress of PENeLOPE at TRIUMF.pdf

11:30 Fission Product Xenon for Rare-Event Detectors

Following decades of independent experimental development, detectors exploiting the useful physical properties of xenon have emerged as leading tools to search for hypothesized physics: WIMP dark matter and Majorana neutrinos.

As current xenon-based experiments approach the end of their operational lifetimes, plans for future detectors with substantially greater exposure are being developed. Achieving such exposure requires correspondingly larger xenon target masses. Among the many challenges associated with constructing a tonne-scale xenon detector, the acquisition of xenon itself is paramount. The requirement for tonnes (even kilotonnes) of xenon drives up the cost of these experiments and makes their development susceptible to the waverings of a limited market of atmospheric xenon.

An alternative source of xenon could be found in used nuclear fuel (UNF). Xenon is the single most dominant fission product and is present in UNF at concentrations thousands of times greater than in the atmosphere. Canada’s fleet of CANDU reactors has been accumulating UNF inventory for over half a century. In this talk, I will discuss the possibility of tapping into this resource and what potential steps may be required.

Speaker: Regan Ross (McGill University)

RRoss_CAP_2026_Xe_Recovery.pdf

11:45 Standoff Neutron and Gamma Radiation Detection for Thermalhydraulic Safeguard Development of the McMaster Nuclear Reactor

Thermalhydraulic power analysis is one of the most important considered metrics when operating a nuclear reactor. Not only does it establish smooth control of operations within a nuclear reactor, but can act as a safeguard – a preventative method to ensure peaceful, nonproliferated nuclear reactor operation.
Standoff radiation detection refers to the technique of continuous analysis of background radiation within a nuclear reactor, which may serve as a “double-check” to conventional thermalhydraulic power measurements obtained by thermocouples. To determine if standoff radiation detection serves as a proper safeguarding technique, an experimental standoff analysis of two types of radioactive decay were explored at the McMaster Nuclear Reactor. Both thermal neutron decay and nitrogen-16 gamma decay were measured by helium-3 proportional counters and a sodium iodide crystal scintillator respectively. The presence of thermal neutrons is indicative of in-core flux, while the presence of nitrogen-16 gammas are indicative of fast neutrons within the coolant. Both decays are characteristic of nuclear reactor operation, expectedly resulting in a linear correlation to thermalhydraulic power. To develop such a safeguard, both experimental measurements and theoretical confirmations were considered against actual thermalhydraulic power measurements of the McMaster Nuclear Reactor over a sixteen-month period. Disruptions in operation such as open beamports, abrupt shutdowns, refueling cycles, and poisons introduced challenges when analyzing experimental data. However, these effects were important to be accounted for in the development of a safeguard for the McMaster Nuclear Reactor, but may also be extended to other reactor designs.
The results stemming from the analysis aid in supporting prior work in the field, proving standoff radiation detection as a realistic technique for nuclear reactor safeguarding.

Speaker: Bafrin Ali (McMaster University)

10:15 → 12:00 (DPP) T1-7 Laser Plasma Interaction & Complex Plasmas | Interaction laser-plasma et plasmas complexes (DPP)

Convener: Emile Carbone (Institut National de la Recherche Scientifique)

10:15 Impact of electromagnetic turbulence and dissipation in magnetic reconnection

Magnetic reconnection is a fundamental process that leads to rapid energy conversion in astrophysical, space and laboratory plasma systems. In modeling this process, most of the plasma fluid equations have employed an electrical resistivity to generate the magnetic dissipation required for magnetic reconnection to occur in a collisionless plasma. However, there has been no clear evidence that such a model is indeed appropriate in the reconnection diffusion region in terms of the kinetic physics. The present study demonstrates that, using a large-scale 3D kinetic simulation and analytical analysis, the spatial distribution of the non-ideal electric field is consistent with the dissipation due to the viscosity rather than the resistivity, when electromagnetic (EM) turbulence is dominant in the electron diffusion region (EDR). The effective viscosity is caused by the EM turbulence that is driven by the flow shear instabilities leading to the electron momentum transport across the EDR [1]. The result suggests a fundamental modification of the fluid equations using the resistivity in the Ohm’s law. In contrast, for the 2D current sheet without significant turbulence activity, the non-ideal field profile does not obey the simple form based on the viscosity. A general form of the of non-ideal electric field in 2D and 3D current sheets appropriate for fluid simulations is presented. The second part of the talk will be concerned with the time domain structures (TDS) associated with free energy sources (beams, thermal anisotropy, etc) that arise from the energy conversion process in magnetic reconnection and magnetic flux rope interaction. The results of both anomalous transport and TDS studies are connected to recent satellite observations (Magnetospheric Multiscale Satellites - MMS) [2] and laboratory magnetized plasma experiments.
[1] K. Fujimoto and R.D. Sydora, “The electron diffusion region dominated by electromagnetic turbulence in the reconnection current layer”, Phys. Plasmas, 30 (2), (2023), 022106 (10 pages).
[2] Z.H. Zhong, et al, “Electromagnetic viscosity supported anomalous electric field in the electron diffusion region of collisionless magnetic reconnection“, Nature Comm., 16, (2025), 10519 (11 pages).

Speaker: Richard Sydora (University of Alberta)

10:45 Ultra-High Field Ponderomotive Acceleration of Electrons

Our group has recently demonstrated that relativistic electron acceleration can be achieved directly in ambient air by tightly focusing few-cycle infrared pulses with high-numerical-aperture optics, using mJ-class femtosecond laser systems. Owing to minimal B-integral accumulation which prevents intensity clamping, relativistic peak intensities approaching 1e19 W/cm² have been achieved, resulting in electron beams with energies up to 1.4 MeV and dose rates of 0.15 Gy/s.

Building on these experimental results, we present a combined theoretical and numerical investigation aimed at identifying the physical mechanism responsible for the acceleration and optimizing its performance. An analytical model for linearly polarized tightly focused ultrashort laser fields reflected by high-NA mirrors is derived and coupled to fully three-dimensional Particle-In-Cell simulations. By varying the laser wavelength (0.8–7 µm) and normalized vector potential (a₀ = 3.6–7.0), we confirm that acceleration is governed by the relativistic ponderomotive force, leading to preferential forward emission. A maximum electron kinetic energy of ≈1.4 MeV is predicted near a central wavelength of 1.8 µm, consistent with experimental results.

We further investigate the influence of polarization and plasma density on acceleration efficiency. In the generated near-critical plasmas, linearly and circularly polarized pulses outperform radially polarized pulses in terms of both maximum energy and total accelerated charge, while linear polarization yields lower divergence beams. Scaling analyses indicate that multi-MeV electrons can be generated with charges above 1 nanocoulomb.

These results establish tightly focused mJ-class lasers as a promising platform for compact, high-repetition-rate multi-MeV electron sources with potential applications in ultrafast imaging and FLASH radiotherapy.

Speaker: François Fillion-Gourdeau (IPL and INRS-EMT)

11:15 High-Energy Electron Acceleration in Nonlinear Laser Wakefield Regimes

Laser wakefield acceleration (LWFA) enables ultra-compact, multi-GeV electron sources, offering a promising route toward next-generation accelerators for medical, industrial, and high-energy physics applications. Using multi-dimensional PIC simulations with SMILEI, this work examines nonlinear wakefield evolution in a two-stage LWFA configuration. In the first stage, a relativistically intense laser (a₀=7.7, λ₀=0.8 μm, w₀=20 μm, E=30 J, τ=30 fs) propagates through a helium plasma (nₑ=7×10¹⁸cm⁻³), producing strongly nonlinear bubble dynamics, including disruption and merging near the relativistic wave-breaking limit. These effects enhance trapping efficiency and yield a quasi-monoenergetic ~1 GeV, 1 nC beam with low divergence and sub-10% energy spread. This beam is injected into a second LWFA stage at the same density to study coupling physics. Injection-delay tuning between the electron beam and laser pulse significantly boosts performance, enabling injected electrons to reach ~2.5 GeV and background-trapped electrons to exceed 3 GeV while maintaining charge and spectral quality. These results demonstrate a practical strategy for compact, high-quality multi-GeV plasma accelerators relevant for ultrafast X-ray generation, neutron sources, radiation therapy, and future high-energy particle collider development.

Speaker: RASHID UL HAQ (Shanghai Instititute of Optics and Fine Mechanics, University of Chinese Academy of Sciences, China.)

CAP 2026 Abstract.pdf

11:30 XUV Diagnostic System for Measuring the Focusing of Protons Produced by High Intensity Laser Pulses

High intensity (≥1018 W/cm2) short pulse (≤ps) lasers allow the efficient generation of MeV energy protons from thin foils. Since the protons are emitted perpendicular to the rear surface of the foil, hemispherical foils may act to focus the protons [1-3]. This focusing is crucial to achieving sufficient proton flux on target for the proton fast ignition scheme of inertial confinement fusion. [4]

To study the generation and focusing of protons beams, a secondary thin foil target can be placed in their path. The protons will heat the secondary target to several eV temperatures, which in turn will radiate Planckian blackbody emission. To study the proton heating a diagnostic system has been developed to image a narrow band of XUV emission, with photon energies around 93 eV, from the rear surface of the secondary target. This technique was used to study proton focusing at the ZEUS Petawatt laser facility at the University of Michigan using a laser focal spot of similar size to the hemispherical radius and laser energies of around 40 J. The time-integrated brightness of emission can be used to calculate the spatial distribution of the temperature [5,6] and from this the amount of proton heating which has occurred. Time-dependent hydrodynamic modeling coupled with radiation emission calculations are used to compare to the measurements. The XUV imaging system design, sample data, and analysis techniques are discussed with some initial proton heating images obtained.

1 – C. McGuffey, et. al. “Focussing Protons from a Kilojoule Laser for Intense Beam Heating using Proximal Target Structure”, Sci. Rep. Vol. 10, No. 9415, (2020)
2 – T. Bartal, et. al. “Focusing of short-pulse high-intensity laser-accelerated proton beams”, Nat. Phys. Vol. 8, pp. 139-142, (2012)
3 - P.K. Patel, et al. "Isochoric heating of solid-density matter with an ultrafast proton beam." Phys. Rev. Lett. Vol. 91, No. 12, (2003)
4 – M. Roth, et. al. “Fast Ignition by Intense Laser-Accelerated Proton Beams”, Phys. Rev. Lett. Vol. 86, 436, (2001)
5 – P. Gu, et. al. “Measurements of electron and proton heating temperatures from extreme-ultraviolet light images at 68 eV in petawatt laser experiments”, Rev. Sci. Inst. 77, 113101, (2006)
6 – R. Snavely et. al. “Laser generated proton beam focusing and high temperature isochoric heating of solid matter”, PoP. 14, 092703, (2007)

Speaker: John Gjevre (University of Alberta)

11:45 Examining the impact of laser spot size and laser energy on nanosecond laser ablation to enhance laser-induced breakdown spectroscopy

Understanding the complex nonlinear physical processes involved in laser ablation remains a challenge. A fundamental understanding of laser ablation can greatly aid in determining optimal parameters for detection techniques such as laser-induced breakdown spectroscopy (LIBS), a high-sensitivity technique for measuring the elemental composition of a material using an energetic laser to produce a plasma at its surface. Here, a 9 ns, 532 nm Nd:YAG laser was used to perform LIBS measurements of aluminum, brass, and coffee samples using three different laser focal spots (21 µm, 47 µm, and 96 µm) and five pulse energies (16 mJ to 82 mJ). For all samples, it was found that the total integrated plasma emission and plasma temperature increased with laser intensity; however, the rate of increase varied with focal spot size. Notably, dividing the total plasma emission by the spot area aligned all data points linearly with laser intensity. To interpret these results, experimental data were fitted using the laser ablation model by R. Hergenroder [1]. The good agreement between simulation and experiment provides insight into the relationship between mass ablation and focused spot size, as well as the increase in plasma temperature due to inverse bremsstrahlung as laser energy increases.

[1] R. Hergenröder, “A model of non-congruent laser ablation as a source of fractionation effects in LA-ICP-MS,” J. Anal. At. Spectrom. 21(5), 505–516 (2006).

Speaker: Shubho Mohajan (University of Alberta)

10:15 → 12:00 (PPD) T1-8 Neutrinos and Dark Matter | Les neutrinos et la matière noire (PPD)

Convener: Daniel Stolarski (Carleton University)

10:15 The Hyper-K experiment

Hyper-Kamiokande is the next-generation underground water Cherenkov detector being built in Japan and will study neutrinos originating from the J-PARC accelerator complex, the atmosphere and astrophysical sources. Its rich physics program includes the measurement of the leptonic CP-violation phase, neutrino astronomy, as well as the search for proton decay.

Hyper-Kamiokande consists of a large cylindrical tank with 258 thousand tonnes of ultrapure water as its detection medium and it is placed 295 m from the neutrino beam production at J-PARC. The project also consists of a suite of near detectors including a movable 500 tonne Water Cherenkov detector placed 1 km from J-PARC called the Intermediate Water Cherenkov Detector (IWCD) and it is used to constrain major systematic uncertainties related to neutrino interactions in the water.

In this talk I will present an overview of the Hyper-Kamiokande experiment, details of its detector design and provide the construction status.

Speaker: Guillermo Arturo Fiorentini Aguirre (Carleton University (CA))

CAP_HK-experiment_AF_20260623.pdf

10:45 Calibration of Hyper-Kamiokande photomultiplier tubes using diffuse light

Hyper-Kamiokande is a next-generation water Cherenkov detector currently under construction for the precision measurements of neutrino oscillations and the search for charge-parity symmetry violation. The far detector will contain 260,000 metric tons of ultra-pure water and will be the world’s largest underground neutrino experiment, instrumented with 20,000 20-inch photomultiplier tubes (PMTs) and 800 multi-PMTs. To achieve the required sensitivity, systematic uncertainties must be tightly controlled. A major source of detector systematic uncertainties is the PMT response, in particular the detection efficiency and angular acceptance. This study aims to reduce detector systematic uncertainties by measuring PMT angular response. A method for calibrating PMTs using five diffuse LED light sources integrated into 200 multi-PMTs is presented. A toy data is simulated accounting for the detector geometry, diffuser emission profile, and PMT response characteristics. In the current model PMT angular response is assumed to depend only on the zenith angle of detection. LED intensities and angular response parameters are determined via iterative minimization.

Speaker: Polina Sukhova (University of Windsor)

CAP_Sukhova.pdf

11:00 Rare-Event Searches with Scintillating Bubble Chambers

Bubble chamber technology has been a mainstay of the particle detection landscape since its invention in the 1950s. By employing a superheated liquid target, bubble chambers enable dual-channel particle identification through correlated visual and acoustic signals generated during bubble nucleation. The Scintillating Bubble Chamber (SBC) experiment is advancing this well-established detector concept to extend sensitivity into the sub-keV nuclear-recoil regime. The use of a scintillating target, such as liquid argon, provides additional information for energy reconstruction while preserving the intrinsic electronic-recoil suppression of bubble chambers, enabling SBC to target energy thresholds of O(100 eV). The collaboration is concurrently developing two near-identical 10-kg liquid-argon detectors at Fermilab (SBC-LAr10) and SNOLAB (SBC-SNOLAB). SBC-LAr10 has recently begun operation, and this talk will present early results from this initial phase of operation. Its physics programme focuses on calibration and coherent elastic neutrino–nucleus scattering studies, while also serving as an engineering testbed for the forthcoming SBC-SNOLAB detector. The latter detector is being purpose-built for GeV-scale dark matter searches, enabled by the ultra-low-background environment at SNOLAB. This talk will highlight recent hardware developments at Queen’s University in preparation for the construction of SBC-SNOLAB, including testing of an array of custom FBK VUV HD3 silicon photomultipliers, camera integration, and the development of data acquisition and event readout methodologies, building on the successes and lessons learned from SBC-LAr10.

Speaker: Carter Garrah (Queen's University)

CGarrah_CAP_June_2026.pptx

11:15 Molecular and Fluid Dynamics Simulations for the Scintillating Bubble Chamber Experiment

The Scintillating Bubble Chamber (SBC) dark matter experiment uses superheated xenon-doped liquid argon to probe new areas of the WIMP mass-cross section parameter space. Accurate simulations of the behaviour of both the liquid argon active volume and CF4 hydraulic fluid components of the detector are integral to ensuring smooth operation and an accurate understanding of nucleation threshold. SBC's active volume is superheated at 120K and 30 PSI, well outside the regime where experimental measurements of argon's physical and thermal properties are available. This necessitates a novel combination of molecular dynamics and fluid dynamics simulations to accurately model the fluid behaviour of the detector. The approach taken for molecular dynamics simulations applies statistical physics to derive bulk physical and thermal properties of the fluids from equilibrium molecular dynamics simulations. These properties can then be used for bulk fluid simulations of the detector’s hydraulic fluid and the argon volume in both the cold and superheated regions. These simulations, in turn, are then iteratively improved to better reflect conditions in the detector as preliminary temperature and pressure data becomes available during commissioning. This talk will discuss the integration of molecular dynamics simulation, bulk fluid simulation, and experimental data to model SBC's fluid behaviour.

Speaker: Ezri Wyman (Queen's University)

CAP 2026.pptx

11:30 New Modular Analysis Framework for the Multi-channel Read-out of the NEWS-G Dark Matter Experiment for Directional sensitivity

New Experiments With Spheres-Gas (NEWS-G) direct dark matter search experiment is using spherical proportional counters filled with light noble gases, enabling sensitivity to very low-mass dark matter parameter space. It is equipped with a high-voltage 11-anode sensor “ACHINOS”, to detect electrons from ionizing radiation from only two combined channels currently. Independent readout of the 11 anodes would enable directional sensitivity in the NEWS-G detector, a key capability for discriminating dark matter signals from solar neutrino backgrounds. To detect signals from each anode of the ACHINOS, a new low-noise charge-sensitive preamplifier has been developed at the University of Alberta and tested with a small-scale NEWS-G detector in the Piro Lab. The analysis and processing of the signal have been performed with a new modular data analysis framework, which will be presented. Preliminary results show an improved event selection and promise for future multi-anode readout scalability. These results also provide quantitative feedback for hardware refinement and establish analysis tools needed for scalable, multi-channel spherical proportional counter readout.

Speaker: Mana Sakaguchi (University of Alberta)

MSakaguchi - CAP Congress 2026.pdf

11:45 Developing Scalable Readout Electronics for Directional Sensitivity of the NEWS-G Dark Matter Experiment

The New Experiments With Spheres-Gas (NEWS-G) uses a spherical proportional counter filled with a light noble gas mixture to directly detect light dark matter particles. The detector consists of a large sphere, equipped with a high-voltage 11-anode sensor, the “ACHINOS”, to detect electrons from ionizing radiation. The current electronics setup limits the readout to two channels, combining the 5 top anodes and the 6 bottom anodes as the north and south channels, respectively. Having the ability to separately detect electrons from the 11 (or more) anodes will provide the NEWS-G detector with directional sensitivity; this will be a significant asset for discriminating against the ultimate challenge posed by the solar neutrino background in dark matter searches. In this presentation, a new scalable electronics design for the readout of the 11-anode sensor currently being built at the University of Alberta will be presented. The testing of this new electronics layout on a small-scale NEWS-G detector in the Piro Lab will be discussed, as well as future plans for scalability beyond 11 channels.

Speaker: Julia Redinger (University of Alberta)

CAP Julia Redinger 2026.pptx

10:15 → 12:00 (DQI) T1-9 Quantum Information Theory II | Théorie de l'information quantique II (DIQ)

Convener: Olivia Di Matteo (The University of British Columbia)

10:15 Does the NPA hierarchy attain the commuting operator value at some finite level?

The NPA hierarchy, of Navascues, Pironio, and Acin, is a widely used tool for analyzing nonlocality across a range of settings in quantum information science. In the context of nonlocal games, this hierarchy of semidefinite programs (SDPs) provides a (non-increasing) sequence of upper bounds, converging (in the limit) to the commuting operator value. In fact, a corollary of the landmark MIP*=RE result employs the NPA hierarchy to conclude that there are nonlocal games for which the quantum (entangled) value is strictly less than the commuting operator value, providing a separation between the quantum and commuting operator models for quantum correlations. Despite much recent advancement, a fundamental question about the value of NPA hierarchy remained open. Given a nonlocal game, does there exist a (finite) level for which the NPA hierarchy attains the commuting operator value? Perhaps surprisingly, a positive and negative answer to this question is consistent with the recent undecidability results for the quantum and commuting operator values. In this talk, I will show that the above question has a negative answer. Moreover, I will discuss how the answer to the above question follows from a seemingly unrelated question about the computability of the commuting operator value.

Speaker: Prof. Connor Paddock (University of Calgary)

10:45 (WITHDRAWN) Logical Bell Inequalities, Magic States, and Lambda Polytopes

We investigate the role of logical Bell inequalities in identifying quantum states useful for magic state distillation. Our approach provides an alternative route to characterizing contextuality as a resource, entirely within the logical framework. In particular, we derive logical Bell inequalities that delineate the faces of the simulable polytope of a single qudit \textemdash the set of states non-negatively represented by the discrete Wigner function. This formulation highlights how logical Bell inequalities can serve as a tool for pinpointing non-stabilizer states relevant to quantum computational advantage, and it opens a pathway toward relating contextuality-based characterizations of magic to lambda-polytopes.

Speaker: Sanchit Srivastava (Institute for Quantum Computing, University of Waterloo)

11:00 Generating bosonic code state with noisy ancilla

Quantum error correction (QEC) is essential for protecting quantum information from ubiquitous environmental noises. The Gottesman-Kitaev-Preskill (GKP) state is a particularly promising bosonic QEC code state that can protect the information encoded in an oscillator against dominant bosonic errors. Approximate GKP states can be generated by performing adaptive phase estimation with an ancilla qubit, yet existing proposals usually require a high-quality qubit to attain good GKP states. Here, we propose a method to generate GKP states with a dephasing qubit ancilla. We find that dephasing error would alter and reduce the inferred knowledge about phase, but these effects can simply be compensated by more rounds of phase estimation. We introduce a modified phase estimation process that optimizes the inferred phase knowledge with ancilla dephasing fully considered. Our simulation demonstrate that high-fidelity GKP states can still be generated even when the ancilla dephasing is significant. Our results improve the practicality of bosonic QEC in realistic platforms.

Speaker: Thomas Lin (Simon Fraser University)

CAP_abstract__Generating_bosonic_code_state_with_noisy_ancilla_.pdf

11:15 Entanglement sharing schemes

We ask how quantum correlations can be distributed among many subsystems. To address this, we define entanglement sharing schemes (ESS) where certain pairs of subsystems allow entanglement to be recovered via local operations, while other pairs must not. ESS schemes come in two variants, one where the partner system with which entanglement should be prepared is known, and one where it is not. In the case of known partners, we fully characterize the access structures realizable for ESS when using stabilizer states, and construct efficient schemes for threshold access structures, and give a conjecture for the access structures realizable with general states. In the unknown partner case, we again give a complete characterization in the stabilizer setting, additionally give a complete characterization of the case where there are no restrictions on unauthorized pairs, and we prove a set of necessary conditions on general schemes which we conjecture are also sufficient. Finally, we give an application of the theory of entanglement sharing to resolve an open problem related to the distribution of entanglement in response to time-sensitive requests in quantum networks. Based on https://arxiv.org/pdf/2509.21462.

Speaker: Stanley Miao (Perimeter Institute for Theoretical Physics)

11:30 Entanglement summoning

In an entanglement summoning task, a set of distributed, cooperating parties attempt to fulfill requests to prepare entanglement between distant locations. The parties share limited communication resources: timing constraints may require the entangled state to be prepared before some pairs of distant parties can communicate, and a restricted set of links in a quantum network may further constrain communication. Such a task may arise in real-world quantum networking scenarios, where a set of labs under timing constraints may want to generate entanglement between a specific pair of labs to implement a quantum protocol.

Building on previous work, we continue the characterization of entanglement summoning. In particular, we provide an if and only if condition on entanglement summoning tasks with only bidirected causal connections between parties, and we offer a set of sufficient conditions that addresses the most general case, encompassing both oriented and bidirected causal connections. Our results rely on the recent development of entanglement sharing schemes.

Speaker: Lana Bozanic

CAP Congress Entanglement Summoning-3.pdf

CAP Congress Entanglement Summoning-3.pptx

11:45 Alice and Rob Revisited: How quantum reference frames can provide new insights into entanglement degradation

Relativistic Quantum Information (RQI) uses tools from quantum information theory to quantify physical phenomena at the interface between general relativity and quantum theory. An important result from RQI describes how a maximally entangled state shared by Alice and Rob is degraded when Rob undergoes uniform accelerated motion relative to Alice.
In this talk, I will revisit the problem of entanglement degradation by considering how other quantum resources are affected by acceleration. Specifically, I will answer the question of whether other quantum resources can "offset" the degradation observed in the entanglement using recent results about quantum reference frames.

Speaker: Everett Patterson (Dept. of Physics and Astronomy, University of Waterloo)

Everett-Patterson_CAP-2026.pdf

Everett-Patterson_CAP-2026.pptx

12:00 → 13:30 Break for Lunch (12h00-13h30) | Pause pour dîner (12h00-13h30)

12:00 → 13:30 Postdoctoral Fellows and Early Career Researchers Networking Session (CAP) | Session de réseautage pour les boursiers(boursières) postdoctoraux et les chercheurs(chercheuses) en début de carrière (ACP)

This networking session is for postdoctoral fellows and early career researchers attending the CAP Congress. Whether you’re looking for advice or simply interested in expanding your professional network, this session is a place to engage with peers facing similar challenges and opportunities at this early career stage, and to learn more about CAP programs and support. For example, CAP is considering lengthening the number of years of lower membership fees for Full-Member Early Career from 4 years to 6 and adding a Councillor to represent early career physicists on the CAP Advisory Council. The session aims to help connect the early-career physics community within Canada.

Convener: Wendy Taylor (York University (CA))

12:00 → 13:30 NSERC-Subatomic Physics Panel Discussion | Table ronde du CRSNG sur la physique subatomique

13:30 → 14:00 T-MEDAL1 Herzberg Medalist Talk | Conférence du lauréat de la médaille Herzberg - Jeffrey Rau

Convener: Steven Rehse (University of Windsor)

13:30 What is an antiferromagnet, really?

Magnetically ordered materials are often divided into two broad classes: ferromagnets, which have a net magnetization, and antiferromagnets, which do not. However, recent work has shown that, in the non-relativistic limit, this classification is incomplete. It overlooks a qualitatively different type of compensated collinear order now called “altermagnetism.” Like conventional antiferromagnets, altermagnets have vanishing net magnetization. Unlike conventional antiferromagnets, their crystal and spin symmetries allow momentum-dependent spin splitting, chiral magnetic excitations, and response functions more commonly associated with ferromagnets. By combining distinct features of ferromagnets and antiferromagnets, altermagnets are promising for applications in spintronics, where electron spin is used to process and store information efficiently.

In this talk I will survey the emerging field of altermagnetism and describe my contributions to the effort to understand this new class of magnetic systems. I will focus on the symmetry principles that distinguish altermagnets from conventional ferromagnets and antiferromagnets, the phenomenology that follows from those symmetries, and recent experiments aimed at revealing altermagnetic signatures in real materials.

Speaker: Dr Jeffrey Rau (University of Windsor)

14:00 → 14:15 Travel Time | Déplacement

14:15 → 15:45 (DAPI) T2-1 Techniques for Radon Monitoring and Mitigation | Techniques de surveillance et d'atténuation du radon (DPAI)

Convener: Dr Ian Lawson (SNOLAB)

14:15 Radon-222 Screening Capability and Research at SNOLAB

Radon-222 is a limiting background in many leading dark matter and low-energy neutrino experiments. At SNOLAB, we have various radon instruments dedicated to material screening and to the measurement of radon concentration in N₂ gas systems and in ultra-pure water. My talk will focus on describing these instruments. In addition, it will describe a recent development aimed at improving our N₂ gas assay capability.

Speaker: Nasim Fatemighomi (SNOLAB)

CAP2026Radon.pptx

14:45 Radon measurement in a low-background experiment using a hybrid trapping system

A new hybrid system for trapping radon-222 emitted by an object is proposed. This text presents the calibration steps carried out at SNOLAB facility concerning low radon concentrations (~ µBq/m³). High-sensitivity background noise measurement is required in dark matter experiments to ensure that the system meets the projected noise limit (0.1 event/year for the PICO experiment). Indeed, radon is a known source of neutron-induced alpha background radiation (α, n). To quantify it, an ultra-pure charcoal with a low intrinsic radioactivity (0.2 mBq/kg) and suitable adsorption capacity (greater than that of bronze wool) is used. However, it is prone to clogging at low temperatures (<-60 °C), unlike bronze wool. By combining them, it is theoretically possible to exploit the advantages of both. Specifically, the length of the column, bonded to 15 g of carbon in a one-inch tube, is halved thanks to the bronze wool that separates and frames it. To assess the validity of this device, the trapping efficiency is determined at various cryogenic temperatures and assay time. It is possible to perform the measurement with a limited gas load (<0.1 mbar) in the emanating system with bronze wool as the sole trapping material. This method is not employed because it is ineffective for assessing huge emanating entities. This study involves allowing the system to emanate Rn under a certain amount of N₂. It provides a conservative measurement, as diffusion-induced emanation decreases with increasing vacuum pressure. The second approach does not require the introduction of N₂ into the system during emanations. N₂ is simply used to facilitate the transfer of Rn from the object to the trap. This strategy offers the greatest sensitivity. Note that a water trap is also used, as humidity can distort the measurement.

Speaker: Hantz Nozard (Université de Montréal)

cap_hybrid_trap.pdf

cap_hybrid_trap.pptx

15:00 Improving SNOLAB Radon counting sensitivity with low-background ZnS

Rn-222 progeny produce unwanted background events in underground rare-event searches including those for dark matter and neutrinoless double beta decay. ZnS(Ag)-coated Lucas cells were used during the SNO experiment to evaluate Radon emanation into light water and continue to be used for ex-situ measurements of Radon concentration in SNO+ and at SNOLAB for materials assays. Support for current and future experiments housed at SNOLAB motivates the development of new Lucas cells to further improve SNOLAB's capabilities for characterizing materials radio-purity with greater precision and sensitivity.
In this presentation, Radon assays are introduced and developments for next-generation Lucas cells will be discussed. Topics include background characterization for Lucas cell components, fabrication methods, and development of ZnS synthesis and doping techniques. Future prospects and current investigations will be shared, including studies into elimination of U-238 chain impurities.

Speaker: Peter Qin (SNOLAB)

CAP Congress 2026 Peter Qin.pdf

CAP Congress 2026 Peter Qin.pptx

15:15 Study on the seasonal variation of indoor radon levels across Canada

Radon, a naturally occurring radioactive gas present in our homes, is the leading cause of lung cancer among non-smokers. With nearly 1 in 5 Canadian homes exceeding Health Canada’s radon guideline level of 200 Bq/m3, radon exposure remains a critical public health issue that is responsible for over 3,000 lung cancer deaths annually in Canada. As part of its National Radon Program, Health Canada consistently reviews and updates national radon risk guidance and resources to adapt to the evolving radon landscape in Canada, ensuring that its actions are evidence-based and effectively mitigate this health risk.

Due to various factors affecting radon levels across Canada’s varied geography and climate, identifying data that directly answers key questions about Canadians' radon exposure can be challenging. Currently, Health Canada recommends Canadians test their home for 3-months during the heating season. This recommendation assumes that radon levels are at their highest during this period. However, there exists limited data that quantifies the extent, if at all, of the seasonal variation of residential radon levels throughout the various regions of Canada. To address this, the National Radon Program has been conducting year-round testing in homes since September, 2023.

Health Canada will present recent progress on the study of seasonal variations of radon levels across Canada. The primary objective is to measure the variation of radon levels in Canadian homes over a 12-month period. By collecting seasonal measurements, it can be determined if the current testing recommendation provides a reasonable estimate of the average annual radon level in a home. Based on the results, new guidance may be developed for radon testing outside the heating season, widening the testing window and ultimately making testing easier and more accessible to Canadians.

Speakers: Hailey Adams (Health Canada), Dr Pawel Mekarski (Health Canada)

2026-06-23 - CAP 2026 - Seasonal Variation of Radon FINAL.pdf

14:15 → 15:45 (DTP) T2-10 Dark Matter | Matière noire (DPT)

Convener: Juan Margalef (Université de Montréal)

14:15 The Large Magellanic Cloud and dark matter searches

The Large Magellanic Cloud (LMC) can significantly impact the dark matter halo of the Milky Way, and boost the dark matter velocity distribution in the Solar neighborhood. Cosmological simulations that sample potential Milky Way formation histories are powerful tools, which can be used to characterize the signatures of the LMC’s interaction with the Milky Way, and can provide crucial insight on the LMC’s effect on the local dark matter distribution. I will discuss the impact of the LMC on the local dark matter distribution in state-of-the-art cosmological simulations. I will then present the implications for dark matter direct detection, considering both standard and non-standard dark matter interactions and different dark matter masses.

Speaker: Nassim Bozorgnia

Bozorgnia-CAP.pdf

14:45 Jeans Model for the Shapes of Self-Interacting Dark Matter Halos

The Jeans model for self-interacting dark matter (SIDM) halos has been shown in recent literature to reproduce, with surprising accuracy, the spherically averaged halo profiles inferred from observations and simulations of relaxed galaxies and galaxy clusters. However, in general, dark matter halos are not spherically symmetric, owing to asymmetric baryon distributions and residual triaxiality from hierarchical assembly. Halo shapes therefore provide an important observational discriminant: in the dense interior, frequent SIDM scatterings isotropize particle velocities and erase the ellipticity characteristic of collisionless CDM halos. This distinction is especially relevant for massive galaxies, where baryons can cause SIDM and CDM halos to have nearly identical spherically averaged density profiles but still exhibit markedly different shape profiles. In this talk, I present recent work extending the Jeans model to describe SIDM density and shape profiles beyond spherical symmetry. I introduce a novel “squashed” Jeans model that captures the physical requirement that multiple scatterings are needed to modify halo shapes while remaining computationally inexpensive compared to full axisymmetric treatments. I then show results validating the squashed model against cosmological hydrodynamical simulations for both SIDM and CDM, and conclude with an application to Milky Way rotation curve data.

Speaker: Adam Smith-Orlik (York University)

Adam_Smith_Orlik_CAP26.pptx

15:00 Stochastic dark matter

Motivated by discrete approaches to quantum gravity, we formulate the covariant Brownian motion of free particles described by a stochastic geodesic equation. At the level of the Fokker-Planck equation, this approach provides the unique covariant diffusion equation in the absence of a preferred frame. The uniqueness makes the equation the effective description of a wide range of possible quantum gravity effects. When applied to dark matter particles, it results in dynamical warming at late times, suppressing the matter power spectrum at small scales. Thus, we show that the model has potential for alleviating the S_8 tension.
When applied to gravitons, the model predicts spreading and drifting of the gravitational-wave power spectrum. Thus, LISA will be able to place bounds on the massless diffusion constants, assuming it detects a peaked spectrum of primordial gravitational waves.

Speaker: Dr Arad Nasiri (University of New Brunswick)

Stochastic_Dark_Matter__CAP-2.pdf

15:15 Visualizing the Principle of Least Action

The Principle of Least Action is a guiding concept in fundamental physics with prominent appearances in many fields, including classical mechanics, general relativity, and quantum mechanics. The general principle is that physically realizable paths are those that extremize the ‘action’ relative to nearby paths. This work explores example systems that highlight important characteristics of the Principle of Least Action, and proposes visualizations of these systems that will give the reader a deeper intuitive understanding of this principle. We begin with a simple analytically solvable 1D spring system that allows for clear visualization of nearby paths and their actions; subsequent numerical simulations of more complex systems are then added to discuss further insights. These visualizations provide an accessible entry point to the Principle of Least Action and facilitate its understanding in educational contexts.

Speaker: Ciaran McDonald-Jensen (Carleton University)

CiaranMcDonald-Jensen_Visualizing the Principle of Least Action_CAP Congress Presentation 2026.pdf

15:30 Traversable Wormholes in Vacuum

Wormhole solutions in gravitational theories typically require exotic matter. Here we present a wormhole solution to the field equations of Einsteinian Cubic Gravity — a phenomenological competitor to general relativity that includes terms cubic in the curvature — that has no matter, exotic or otherwise. These purely gravitational wormhole geometries are asymptotically AdS but contain a geometric deficit at infinity. The deficit, interpreted as a global monopole, plays an essential role in our construction. We find that our wormhole solution satisfies traversablility criteria. We also find, for different parameters, a range of possible wormhole solutions.

Speaker: Mengqi Lu (University of Waterloo)

14:15 → 15:45 (DPMB) T2-11 Emergent Biological Behaviour II: Confined Molecular Systems to Aging Dynamics | Comportements biologiques émergents II: des systèmes moléculaires confinés aux dynamiques du vieillissement (DPMB)

Convener: Maria Kilfoil (University of Prince Edward Island / Physics)

14:15 Microfluidic High-Throughput Production of Mondisperse Encapsulated Cellular Spheroids

Our work involves the formation and utilization of mass produced, monodisperse spheroids encapsulated in hollow hydrogel microcapsules for use in assays and drug response trials.
Three-dimensional culture of cells into spheroids and organoids shows improved therapeutic and clinical relevance over two-dimensional culture. Heterogeneity of spheroids in size and structure is an issue for reproducibility, as such high-throughput, monodisperse production is the target of new culture methods.
Microfluidic Flow-Focusing is a high-throughput method for producing monodisperse droplets. By mixing cells in thermo-reversible hydrogel and producing a Water-In-Oil emulsion, cells can be encapsulated in spherical monodisperse hydrogel scaffolds. These scaffolds can then be re-encapsulated in a second layer of hydrogel of a higher melting temperature, to produce hollow hydrogel microcapsules with a tunable and monodisperse inner volume allowing growth of cells into spheroids of a maximum diameter.
Using this encapsulation method, roughly 100,000 of these cell laden microcapsules can be produced in an hour, with spheroids being fully formed after 5-7 days culture. These spheroids have a monodispersity of 16%, which is competitive with existing methods, and due to the containment of the hydrogel shell these sizes remained consistent for at least two weeks culture without any negative impact on viability.
Due to the robust hydrogel shell, these spheroids can be manipulated without risk of damage, allowing for easier partitioning of spheroids post culture or their insertion into microfluidic platforms.
Experiments have shown improved production of extracellular vesicles over cells cultured in well plates, showing promise for either paracrine therapies, or for studies that monitor changes in intercellular signalling pathways.
These encapsulated spheroids also show the typical dose related response to cancer drugs such as Paclitaxel and Doxorubicin, allowing for their use in drug discovery.
Ongoing work involves the formation of a microfluidic array device designed for the isolation of individual spheroids to allow for targeted dosing and imaging with replication. This array will also allow for reporter assays between two different spheroid types in a well, utilizing the robust isolation offered by the hydrogel shell to prevent direct contact while allowing vesicle transfer.

Speaker: Nicholas Soucy (University of Ottawa)

14:30 Microfluidic sample compartmentalization for biomolecular concentration quantification using a nanopore sensor

Determination of the concentration and physical characteristics of a biomolecule with single molecule sensitivity is a fundamental measurement in biophysics, analytical chemistry, and central to diagnostic applications. In this work, we introduce a microfluidic device with an integrated nanopore sensor, which leverages sample compartmentalization in known pL volumes allowing direct molecular analysis and label free counting to depletion through resistive pulse sensing technique. For this purpose, the molecular concentration is determined by counting a finite number of molecules within a known volume, enabling direct quantification of pico- to nanomolar concentrations, 3 orders of magnitude dynamic range. Using this technique, we successfully determined the concentrations of double-stranded DNA (dsDNA) and green fluorescent protein (GFP) within minutes and without requiring any external calibration with a limit of detection of 1 pM that can potentially be improved to low fM. By mathematically modeling the kinetics of molecular depletion and stochasticity of molecular capture in finite volume, we show that the concentration can be inferred without the need to capture and count every molecule within the compartment. Apart from the concentration, molecular size, shape, volume, and charge can also be determined using this technique which is interesting for molecular fingerprinting applications. Moreover, we demonstrate the ability to preconcentrate the biomolecular sample up to 5-fold by real-time tuning of the microtrap volume, which can be used to reduce the measurement time and to lower the detection limit. We have shown that the response time for measurement can be further reduced through applying a salt concentration gradient across the nanopore. Overall, our approach enables reliable concentration and molecular physical characteristics measurements without the need for bulky or costly equipment and is compatible with potentially portable devices for point of need application.

Speaker: Morteza Safari (University of Ottawa)

14:45 Effects of macromolecular crowding on protein fold switching

While most folded proteins adopt a single, conformationally homogeneous native state, a small but growing class of proteins is known to reversibly switch between two structurally distinct folds. These fold transitions are typically triggered by changes in the local environment, such as binding to a partner molecule or variations in salt concentration or temperature, and often enable new, unrelated biological functions. Understanding the physical mechanisms underlying such fold switching remains a major challenge. We have developed a structure-based coarse-grained model capable of simulating both the thermodynamics and kinetics of fold switching. In this talk, I will discuss its application to both the engineered fold switch GA/GB, driven by point mutations, and the natural metamorphic protein XCL1, which switches folds upon dimerization. Using this model, we probe universal features of fold-switching mechanisms, examine how macromolecular crowding reshapes the free-energy landscape and alters relative fold populations, and characterize structural changes in the unfolded state under conditions favoring the different folds.

Speaker: Prof. Stefan Wallin (Memorial University of Newfoundland)

15:15 Aging as a complex but interpretable dynamical system

We study the complex dynamics of human aging with a data-driven approach. We started with flexible deep-learning approaches to predict future health, and have used them to identify simpler stochastic dynamical models within interpretable latent spaces. I will tell you about our methods, our findings to date, and the open questions we continue to pursue.

Speaker: Andrew Rutenberg

14:15 → 15:45 (DPMB) T2-2 Innovations in Neuroimaging and Biomedical Image Processing | Innovations en neuroimagerie et en traitement d'images biomédicales (DPMB)

Convener: Saeed Samaei (University of Western Ontario)

14:15 Automatic vs manual segmentation for electron microscopy images in a male mouse

Brains are composed of neurons, containing axons. Myelin aids in propagating electrical and chemical signals by insulating axons. Postmortem studies suggest that axon properties change with various neurological conditions. Imaging methods can aid in the diagnosis process and understanding how axons change over time. Electron microscopy (EM) is the current gold standard to measure microstructures in the brain due to its high resolution. Manual segmentation of EM images is extremely time-consuming, prohibiting large-scale studies. The ultimate goal of this project is to have an automated segmentation method for EM data that can accurately delineate axons, myelin, and other cells for comparison with a newly developed magnetic resonance (MR) in vivo method. The first step compared an automated segmentation model with the corresponding manual segmentations for axons. Eight EM images from one male mouse were manually segmented, defining intra-axonal space and myelin. The light microscopy model of Segment Anything for Microscopy (µsam) was used for automatic segmentation of the axons in the images. The manual and automated segmentation of each image was compared using the average Dice similarity coefficient (DSC), precision and accuracy. The average and standard deviation of the DSC, precision and accuracy over all images were 0.78±0.03, 0.63±0.04 and 0.70±0.03, respectively. Compared to the intra-axonal and myelin manual segmentations, the average DSC, precision and accuracy were 0.91±0.02, 0.93±0.05 and 0.85±0.03, respectively. Manual segmentation took approximately 42 hours per image, whereas the automated prediction was completed on average 3.9 seconds per image. The reduced segmentation time comes at the cost of µsam only being able to detect larger cells, whereas the longer manual segmentation time allowed for every cell to be segmented. The results demonstrate automated segmentation predictions better represent the intra-axonal space and myelin rather than just intra-axonal space. The next steps are to test other automated models to evaluate if they perform better compared to µsam and to MR results on the same tissue. Additional models should be investigated to determine if they are able to automatically segment other cells and separate the myelin from the axon.

Speaker: Jessica de Kort (The University of Winnipeg)

CAP 2026 Presentation.pptx

CAP Congress 2026 Abstract.pdf

14:30 Preclinical Evaluation of Assigning Anatomical Labels in Magnetic Resonance Imaging Using a Transgenic 5XFAD Mouse Model of Alzheimer’s Disease

Alzheimer’s disease (AD) is the most common form of progressive neurodegenerative dementia and a leading cause of death worldwide. The definitive cause of AD remains unknown, but its development is a multifaceted etiology. Early AD diagnosis is crucial as pathology begins decades before symptoms appear, and its diagnosis can only be confirmed post-mortem. Imaging techniques such as magnetic resonance imaging (MRI) provide insight into the distinct patterns of brain inflammation, followed by degeneration. In both clinical and preclinical imaging, MRI enables non-invasive, longitudinal, volume-based quantification of regions of interest with sensitivity to multiple tissue properties. Despite advances in preclinical imaging, there is limited consensus on standardized, quantitative methods for assigning anatomical labels to brain regions in mouse models relating to cognitive decline. From a medical physics perspective, reliable anatomical labeling is essential for quantitative MRI, yet automated pipelines remain under-validated in preclinical disease models.
This project addresses this challenge using the most aggressive disease model, 5XFAD transgenic mice, to detect early differences in brain anatomy. The primary objective is to determine whether MRI can be used as an early diagnostic tool by detecting age-dependent structural changes across the lifespan using a 1 T M2™ Compact High-Performance MRI System (Aspect Imaging) and a 3D imaging method. A major challenge in pre-clinical studies is the lack of accessibility and interrater variability in quantifying neurodegeneration. This project explores diverse MRI processing strategies, including manual segmentation using the Allen Mouse Brain Atlas and the computational pipeline AIDAmri. By exploring a variety of techniques, the anticipated outcome is to evaluate the robustness through cross-method agreement, age-dependent consistency, and sensitivity to preprocessing choices in the 5XFAD model, not previously characterized by the AIDAmri pipeline. This research advances techniques for automated anatomical labeling in preclinical MRI and supports the development of standardized imaging pipelines applicable to longitudinal therapeutic investigations of neurodegeneration.

Speaker: Alex Stoinescu (University of Windsor)

14:45 Optimized magnetic resonance imaging sampling schemes for mapping severe magnetic field distortions near metal implants

Magnetic resonance imaging (MRI) is a non-ionizing diagnostic technique that detects signals from hydrogen nuclear spins precessing in a strong static magnetic field, $B_0$. Metallic materials commonly used in orthopaedic and dental implants, such as titanium and cobalt-chromium alloys, introduce large magnetic susceptibility differences that significantly distort $B_0$. These distortions lead to rapid intravoxel signal dephasing, severe image artifacts, and signal voids, rendering conventional MRI measurements ineffective in the vicinity of implants.
Previous work has demonstrated that pure phase encoding MRI approaches can be used to measure magnetic field distortions in such extreme off-resonance environments. However, the quality of the resulting field maps is often degraded by aliasing artifacts, particularly in later echo images. In this work, we propose an optimized data sampling scheme that balances image quality and acquisition time, substantially improving the robustness of field mapping near metal.
We apply this approach to measure magnetic field distortions surrounding titanium and cobalt-chromium mouse hip implants. In addition, we extend the analysis from analytical solutions based on idealized geometries to numerical simulations using finite element methods. The strong agreement between experimental measurements and simulations demonstrates that the proposed sampling strategy enables reliable quantitative field mapping in the presence of severe susceptibility-induced distortions. These results provide a foundation for the development of improved spatial encoding schemes for MRI in extreme off-resonance environments.

Speaker: Ms Mila Vasquez

15:00 Acceleration of the MP2RAGE MRI Pulse Sequence Through Multi-Contrast Joint Reconstruction

The Magnetization-Prepared Two Rapid Gradient Echo (MP2RAGE) pulse sequence acquires two high-resolution 3D volumes that are combined to produce a T1-weighted UNI image and a quantitative T1 map that is largely insensitive to B1+ inhomogeneity. In the brain, T1 relaxation is strongly correlated with myelin content, enabling in vivo assessment of neurological health. However, MP2RAGE scan times remain relatively long (~7–10 min) when using conventional GRAPPA reconstruction with reduction factors (R) of 2–3. Multi-contrast joint reconstruction methods such as J-GRAPPA, JVC-GRAPPA, and J-LORAKS have demonstrated improved performance over GRAPPA for other pulse sequences by leveraging shared k-space information across contrasts. In this work, we investigate the application of joint reconstruction to MP2RAGE by exploiting shared information between the two acquired volumes to enable higher undersampling without compromising UNI image quality or T1 map precision. Fully sampled 1-mm isotropic MP2RAGE scans were performed on two healthy adult participants and retrospectively undersampled using uniform Cartesian masks for all algorithms and, additionally, variable-density Poisson-disc (VDPD) masks for J-LORAKS. Reconstruction performance was evaluated using root-mean-square error (RMSE) relative to fully sampled references while varying R and the number of autocalibration signal lines (NACS).
As expected, T1 map RMSE trends closely followed those of the UNI images. For T1 maps, JVC-GRAPPA and J-LORAKS consistently outperformed GRAPPA at higher reduction factors, achieving up to ~40% RMSE reduction with uniform sampling at R = 6 with NACS = 48. Using VDPD sampling with J-LORAKS further reduced T1 map RMSE by 18% at Rnet = 3.35 (R/NACS = 6/48) compared to uniform sampling and eliminated visible coherent aliasing. Reconstructions at higher reduction factors of R = 8-10 with J-LORAKS (Rnet = 3.80-4.13) yielded a ~68% and ~30% improvement with a VDPD sampling mask as compared to GRAPPA and JVC-GRAPPA with a uniform Cartesian sampling mask, respectively. Joint reconstruction methods also produced gray and white-matter T1 estimates closer to the fully sampled reference (p < 0.05). These results demonstrate the feasibility and of multi-contrast joint reconstruction for further accelerating MP2RAGE acquisitions while maintaining image quality and T1 precision.

Speaker: Curtis Goosney (McMaster University)

15:15 Towards a Standard Minimum Spectral Resolution for Broadband Continuous-Wave Near-Infrared Spectroscopy

Broadband continuous-wave near-infrared spectroscopy (bNIRS) is an effective technique for non-invasive neuromonitoring in neonates. However, most bNIRS devices are based on expensive custom-built spectrometers. The development of low-cost, compact, off-the-shelf spectrometers is critical for widespread clinical adoption. To guide this development, here we determine the minimum spectral resolution needed for accurate estimation of oxy- and deoxy-hemoglobin (HbO and Hb) concentrations in tissue.

Using a spectrometer with variable slit width, we acquired bNIRS measurements from fully oxygenated and deoxygenated tissue-mimicking blood-Intralipid phantoms at 13 slit widths, resulting in data at 13 spectral resolutions (from 0.9 nm to 19.9 nm, mean step size of 1.6 nm). Data for intermediate oxygenation levels were simulated using NIRFAST. HbO and Hb concentrations were estimated from the phantom experiments and the simulations using differential spectral analysis based on the solution to the diffusion equation for a semi-infinite homogeneous medium. The results were compared with the ground truth concentrations.

The concentration of Hb was consistently estimated with high accuracy for resolutions up to 10 nm (10.8 ± 5.4% for phantom experiments and 8.1 ± 7.3% for simulations), whereas HbO estimates were more variable (20.4 ± 16.6% for phantom experiments and 22.9 ± 9.5% for simulations), likely due to cross talk with light scattering. A steady increase in error was observed in the estimation of both Hb and HbO concentrations beyond 10 nm. The results suggest that the minimum spectral resolution for accurate bNIRS tissue oximetry is 10 nm, which is considerably coarser than what is typically reported in the literature (0.3 to 5.5 nm). This implies that a wider slit width may be used to boost light throughput, increasing SNR while decreasing the required integration time for such measurements. Ultimately, this work provides an evidence-based standard for selecting the spectral resolution of off-the-shelf spectrometers for tissue oximetry.

Speaker: Rasa Eskandari (Western University)

14:15 → 15:45 (DAMOPC) T2-3 Ultra-cold Atoms | Atomes froids (DPAMPC)

Convener: Joseph Thywissen (University of Toronto)

14:30 Temperature-Dependent Absorption Spectroscopy of a 87 87 Rb Vapor Cell for EIT-Based Quantum Memory

Electromagnetically induced transparency (EIT)–based quantum memories require an atomic ensemble with sufficient optical depth and stable frequency detuning conditions. In this work, we characterize a Rb-87 atomic vapor cell by measuring near-resonant absorption (transmission) spectra under controlled temperature settings, aiming to identify suitable operating conditions for subsequent EIT storage experiments. The transmitted probe signal is recorded during repeated laser scans across the D-line resonance region. To enable reliable comparisons across scans and temperatures, we implement an anchor-based piecewise frequency-axis alignment that compensates scan nonlinearity and slow drifts, using reproducible spectral landmarks as reference points. The aligned spectra are averaged to form a robust reference absorption profile, and key spectral metrics (e.g., absorption depth and effective linewidth) are tracked as functions of temperature. The measurements show a clear temperature dependence of the absorption strength, consistent with an increase in vapor number density, while the observed linewidth reflects combined broadening and decoherence contributions. These results provide (i) a practical temperature-dependent characterization of absorption background and effective optical depth and (ii) a repeatable relative-detuning reference for locating and monitoring EIT operating points in a warm-vapor quantum memory platform.Keywords: EIT, quantum memory, Rb-87 vapor cell, absorption spectroscopy, temperature dependence, frequency alignment

Speaker: Qianzhu Li (Carleton University)

abstract.pdf

14:45 Advances in Laser Cooling with Type-II Magneto-Optical Traps for Cs and Li

Magneto-optical traps (MOTs) are a central tool for producing and confining ultracold atomic gases. Most experiments rely on type-I MOTs, which exploit closed cycling transitions to provide strong radiation-pressure forces and efficient cooling. More recently, however, type-II MOTs, in which closed cycling transitions are absent, have been used in several laser cooling experiments.

Experimental and theoretical studies have demonstrated that atom capture in a type II MOT can significantly suppress light-assisted collisions and re-absorption-induced heating. These effects reduce density-limiting loss mechanisms and lead to colder, higher-density samples that are well suited for subsequent loading into shallow optical traps.

In this work, we present results on the efficient operation of a type-II MOT for Cs. We also report a characterization of a type-I MOT and ongoing progress toward the realization of a type-II MOT for lithium.

Speaker: Forouzan Forouharmanesh

15:00 Ultracold radioactive atoms in an optical lattice

Radioactive atoms and molecules are a new frontier in atomic physics currently being explored in cutting edge precision measurements. $^{221}$Fr’s nuclear octupole deformation gives ultracold FrAg molecules enhanced ability to detect hadronic CP violation. We are currently working towards studying atomic francium’s scattering properties through photoassociation spectroscopy. Toward this end, we have expanded TRIUMF’s francium trapping lab’s [1] capabilities by implementing absorption imaging for a more accurate measurement of trapped Fr number and an optical dipole trap for denser and colder samples.

We report evidence of a 1D optical lattice in our apparatus in both Fr and Rb. Using these new capabilities, we have also measured $^{211}$Fr’s D2 atomic transition to an accuracy of 3 MHz. These results demonstrate a step forward in control over ultracold radioactive atoms. TRIUMF’s forthcoming Radioactive Molecules Laboratory will provide the infrastructure necessary for further development of techniques for precision studies of exotic radioactive atoms and molecules.

1. M. Tandecki et al., J. of Instr., 8, 12006 (2013)

Speaker: Andrew Lagno (University of Waterloo)

15:15 Design of an Untrapped Three-Photon Optical Clock with Bosonic Yb

Atomic clocks provide the most precise time and frequency standards, with applications in navigation, telecommunications, and precision tests of fundamental physics. We present the design and ongoing implementation of an optical clock architecture based on a three-photon transition in untrapped bosonic ytterbium. By interrogating ballistic Yb atoms using a coherent three-photon transition and arranging the three clock lasers to cancel the net Doppler shift, this approach is designed to suppress dominant systematic effects associated with optical clocks, including Zeeman and lattice light shifts. Analytical modeling and numerical simulations describe the effective two-level dynamics of the three-photon transition and we optimize Ramsey interrogation pulse sequences under realistic experimental conditions. We also sweep the laser detunings in simulations of the atomic dynamics, revealing dressed-state features associated with intermediate resonances and identifying detuning regions that maintain high-contrast population transfer. For this clock architecture, the dominant sources of systematic uncertainty are expected to include second-order Zeeman shifts, blackbody radiation, and residual light shifts from the clock lasers.

Speaker: QiLin Xue (University of Toronto)

14:15 → 15:45 (DCMMP) T2-4 Hard Matter 5: Spin Orbit and Topological | Matière dure 5: Interaction spin-orbite et topologie (DPMCM)

Convener: Stefanie Czischek (University of Ottawa)

14:15 Electronic Raman scattering from 2D metals with broken inversion symmetry

We study electronic Raman scattering (eRS) from low-energy excitations in many-electron metallic systems lacking inversion symmetry. In these systems, spin–orbit coupling lifts spin degeneracy at the Fermi level, enabling incoherent spin-flip excitations and coherent chiral-spin modes, which can be probed via Raman spectroscopy. These excitations have been experimentally observed using resonant eRS in a variety of systems, including $CdTe$ quantum wells [1,2], topological surface states of $Bi_2Se_3$ [3], and moiré superlattices formed by $WSe_2/WS_2$ heterostructures [4].
Despite these advances, a clear understanding of how inversion symmetry breaking modifies light–matter interactions remains incomplete, particularly in the non-resonant regime relevant for systems such as graphene, where electronic states do not resonantly couple to typical Raman photons. Non-resonant Raman scattering in monolayer and bilayer graphene has been studied theoretically and experimentally [5,6], but inversion symmetry is preserved.
Here, we investigate modifications of the effective light–matter interaction vertex in both single- and multi-valley systems with spin–orbit coupling in the non-resonant limit. Our results show that inversion symmetry breaking produces polarization-dependent Raman signatures, whose characteristics depend on the type of substrate-induced spin–orbit coupling and the Hilbert space considered.
References:
[1] F. Perez et al., Phys. Rev. Lett. 99, 026403 (2007)
[2] S. Maiti & D. L. Maslov, Phys. Rev. B 95, 134425 (2017)
[3] H.-H. Kung et al., Phys. Rev. Lett. 119, 136802 (2017)
[4] Z. Shan et al., arXiv:2509.16511 (2025)
[5] O. Kashuba & V. I. Fal’ko, Phys. Rev. B 80, 241404 (2009)
[6] E. Riccardi et al., Phys. Rev. Mater. 3, 014002 (2019)

Speaker: Mojdeh Saleh (Concordia University)

14:30 Novel magnetic and topological nickel monosilicides

Nickel monosilicides (NiSi) crystallize in various orthorhombic, hexagonal, and/or cubic structures, exhibiting rich polymorphism with unique physical properties. There have been surging fundamental and practical interests in their potential candidacy as emerging magnetic topological materials that are free of rare-earth elements. Here, by combining density functional theory and magnetotransport, we have investigated the lattice stability, phonon dispersion, anisotropy, magnetic ordering, electronic structure, topological features, and transport properties of known NiSi phases, establishing a comprehensive understanding of NiSi polymorphs and their technological relevance. In the orthorhombic MnP-type phase, we have examined its highly anisotropic thermal expansion, robust antiferromagnetic ordering under ambient conditions, and exceptionally low electrical resistivity suitable as contact materials in chip manufacturing. We have further characterized the strain tunability of the Weyl nodes and Fermi arcs identified in cubic ε-FeSi-type phase. Collectively, our results have demonstrated novel nickel monosilicides as a promising platform for advancing spintronic and microelectronic applications.

The research was supported by Canada Research Chairs (CRC) Program, NSERC Discovery Grant RGPIN-2024-06497, ARO Grant Number W911NF-25-1-0215, Canada Foundation for Innovation (CFI), Ontario Research Fund (ORF), Compute Ontario and Digital Research Alliance of Canada.

Speaker: Mr Dinura Hettiarachchi (University of Ottawa)

NiSi_CAP_DH.pptx

14:45 Spin currents in noncentrosymmetric crystals

We present a detailed analysis of the interband mixing effects on spin currents. Specifically, we calculate the intrinsic spin current in a nonmagnetic noncentrosymmetric crystal in the presence of electron-lattice spin-orbit coupling. We show that the standard definition of the spin current operator in terms of an effective band Hamiltonian cannot be justified using a microscopic theory. Ignoring contributions arising from integrating out remote bands can lead to qualitatively wrong results. The modified expression for the spin current operator contains additional terms, which dominate the equilibrium spin current in a uniform crystal. We show that the magnitude of these additional terms can considerably exceed the spin current obtained using the standard definition.

Speaker: Kirill Samokhin (Brock University)

CAP_2026___Spin_currents.pdf

15:00 The Kitaev-AKLT model: an exactly solvable model with exponential degeneracy

The AKLT model is a paradigmatic example of a gapped spin system that can be written in terms of fractionalized objects. We present an extension of this model with Kitaev-like anisotropy. At a special point, the Hamiltonian can be written as a sum of projectors, allowing for an AKLT-like construction. We have two choices on each bond, leading to an exponential ground state degeneracy. Ground states can be viewed as configurations of a 1D Ising chain, where each Ising variable is a bond-conserved-quantity. We write their wavefunctions in a concise form as matrix product states. These fractionalized states provide a qualitative understanding of the spin-1 Kitaev chain, yielding approximate forms for the ground state and low-lying excitations.

Speaker: Ganesh Ramachandran

15:15 A study of new types of states in generalized SSH systems

Recent advances in topological condensed matter physics have highlighted the importance of simple one-dimensional lattice models as building blocks for understanding more complex quantum systems. In particular, the Su–Schrieffer–Heeger (SSH) model has become a paradigmatic example of how topology controls the existence and robustness of eigenstates in low-dimensional systems. However, when the SSH model is generalized to include longer-range hopping beyond nearest neighbours, the structure and number of eigenstates is no longer trivial and remains only partially understood.

A key open question is how the number and nature of eigenstates depend on the coupling parameters when additional links between non-nearest-neighbour sites are introduced, especially in the infinite-chain limit.

In this work, we study a family of generalized SSH models (SSH-N chains) that include hoppings beyond nearest neighbours. Using a combination of analytical methods and numerical simulations, we solve the resulting lattice Hamiltonians by applying Bloch’s theorem and constructing the corresponding band structure and eigenmodes.

We find that the number and type of eigenstates depend sensitively on the geometry of the unit cell and on the values of the coupling parameters. In contrast to the standard SSH model, which supports only a fixed number of edge and bulk states, extended hopping gives rise to new families of solutions, including exponentially localized wave functions in finite systems and additional allowed linear combinations in the bulk.

These results clarify how long-range couplings modify the spectral and topological structure of SSH-type models and provide a systematic framework for engineering new quantum states in one-dimensional lattices, with potential applications to photonic, cold-atom, and molecular lattice systems.

Speaker: Kylian Lionnet

Presentation ACP.pdf

15:30 Strain-tuned topological bands in a three-dimensional Kagome antiferromagnet

Kagome materials have been the source of extensive recent studies for topological quantum matter with enhanced electronic correlation. Destructive interference of electronic hopping pathways in the geometrically frustrated Kagome lattice gives rise to signature topological bands near the Fermi level ($E_\mathrm{F}$), such as a doubly degenerate flat band, a Dirac cone, and van Hove singularities (vHSs). Here, we investigate the electronic and magnonic properties of B35-FeGe, an intriguing three-dimensional (3D) Kagome material that hosts charge density wave (CDW) and spin density wave (SDW) at low temperature. We demonstrate unique strain tunability of the vHSs, Dirac cone, the associated Berry curvatures and transport properties in the antiferromagnetic (AFM) B35-FeGe, which facilitates understanding of the highly correlated CDW. The uncovered strain tunability of topological features in 3D Kagome materials offers a rich platform for emerging topological electronics, spintronics and magnonics. Our work bodes well for significant experimental advancement in highly correlated states, magnetic interactions in intertwined quantum phases, and strain-driven topological phenomena.

The research was supported by Canada Research Chairs (CRC) Program, NSERC Discovery Grant RGPIN-2024-06497, ARO Grant Number W911NF-25-1-0215 and Digital Research Alliance of Canada.

Speaker: Maxime Laniel (University of Ottawa)

14:15 → 15:45 (DPE) T2-5 Outreach and Engagement | Sensibilisation et mobilisation (DEP)

Convener: Ania Harlick (University of Toronto)

14:15 The Farm as a Solar Energy Power Plant

The concept of energy is one that many teachers struggle with. Because of its abstract nature, developing hands-on activities that address the idea of energy can be challenging. Additionally, the core concepts that energy is conserved and can be transformed means that basic ideas related to energy can and should be applied to systems in different scientific disciplines, which many teachers find difficult.

This presentation describes a science outreach project that aims to achieve, through combination of two originally very different activities, something much greater than the sum of its parts: a hands-on experience that attempts to improve students’ understanding of the nature of energy transformation and conservation.

For many years the outreach team of Lakehead University (through projects such as the Promoscience-supported “EcoReach”) have brought activities related to alternative energy to schools. Most of these extension opportunities involve examination of photovoltaic panels, small wind turbines and the energy they can harness. At the same time, another Promoscience-funded project, “Farm Lab”, has brought lessons about garden-based science activities to students that often involve growing vegetables, either in small-scale indoor greenhouses or outdoors in school, campus or community gardens.

Our newest project combines these two types of activities to demonstrate, in a tangible and quantifiable way, how the solar energy captured by a photovoltaic panel and stored in a rechargeable battery compares with that captured and stored in a corn plant.

The activity has been carried out with classes of students in grades 4,5 and 6, grade 9, first- and second-year undergraduate Engineering candidates and teacher candidates in their professional years of Lakehead’s Bachelor of Education program. The basic elements of the activity, successes and failures encountered with different groups and changes that have been made are discussed in this presentation, as well as future directions this project may take.

Speaker: Christopher Murray (Lakehead University)

14:30 Muons in Classrooms; The BC MuSIC Project

Particle physics is all around us! There are many ways we can detect particles, and one of main source of high energy particles come from outer space, in the form of cosmic rays. The Cosmic Watch, developed by Spencer Axani, is a cosmic muon detector small enough to hold in the palm of your hand. We are distributing these detectors to schools in Vancouver and greater BC to empower students with the ability to see cosmic muon events, network with other users to detect coincident cosmic events, and track solar activity over time. This talk will present an overview of the Cosmic Watch system, the technical requirements and data analysis for anyone interested in setting up a similar outreach project at their institute.

Speaker: Emily Filmer (TRIUMF (CA))

MuonsInClassrooms_CAP.pdf

14:45 In Memoriam: David Harrison, a Pioneer in the Physics Teaching Stream

David Harrison completed his Ph.D. in experimental high-energy physics at the University of Toronto in 1972 under James Prentice, then transitioned to Physics Education Research (PER) as a teaching-stream professor. He won many teaching awards throughout his career, including the Canadian Association of Physicists Medal for Excellence in Undergraduate Teaching in 2012. David passed away at age 81 in Toronto in July 2025. Today I would like to celebrate his life, and his many innovations in teaching and science communication. I will review a selection of David’s most useful and relevant PER papers, which include investigations into how students read, groupwork in labs, data analysis and uncertainties. I will also share a selection of David’s many online teaching animations and simulations, which I have updated to be accessible on modern devices. The topics covered in these simulations include Mechanics, Chaos, Fluid Mechanics, Electricity and Magnetism, Quantum Mechanics and Relativity.

Speaker: Jason Harlow (University of Toronto)

14:15 → 15:45 (DNP) T2-6 Nuclear Theory | Théorie nucléaire (DNP)

Convener: Garth Huber (University of Regina)

14:15 Nucleosynthesis for the lightest and the heaviest elements

The lightest elements in the universe, such as most helium and some lithium, were forged within the first twenty minutes after the Big Bang through Big Bang Nucleosynthesis (BBN). The theory of BBN features a remarkably small core reaction network of a dozen key nuclear reactions. This theoretical simplicity, combined with precision reaction data from nuclear experiments and cosmological inputs from cosmic microwave background observations, allows BBN to yield high-precision abundance predictions with an accuracy rarely seen in other areas of nuclear astrophysics. By comparing these predictions with precision primordial abundance observations, BBN provides a rigorous test of the standard cosmology and serves as a sensitive probe for new physics beyond the Standard Model in ways complementary to terrestrial experimental search. In this talk, by incorporating the most recent observational inputs, we will firstly report the latest BBN calculations and its constraints on relevant cosmological parameters.

Moving beyond the light elements, neutron captures are crucial processes to create elements heavier than iron on the opposite side of the nuclear chart. The specific neutron density at which neutron capture processes operate in their corresponding astrophysical sites is the primary determinant of their unique nucleosynthesis paths and resulting abundance patterns. The rapid neutron capture process (r-process) occurring in explosive events such as neutron star mergers with extremely abundant free neutron supplies is traditionally held responsible for the enrichment of actinides, in particular Thorium and Uranium. However, recent research suggested a possibility of synthesizing these actinides through the intermediate neutron capture process (i-process) in AGB stars with neutron densities many orders of magnitude lower than those required for the r-process. This possibility could fundamentally change our understanding of galactic chemical evolution. To explore the viability of this alternative scenario, we employed the PRISM code to simulate nucleosynthesis across a range of neutron injection strengths and timescales. We will conclude this talk by comparing specific nucleosynthetic examples where actinides are successfully forged against those where they are once created but depleted by subsequent nuclear reactions, identifying the conditions for i-process actinide survival.

Speaker: Tsung-Han Yeh

2026 CAP Congress Tsung-Han Yeh.pdf

14:45 A Coincidence Algebra bundle for Decay Quivers: An Algebraic Approach to Gamma-ray Spectroscopy

Motivated by the need for a more comprehensive algebraic structure to calculate coincidence probabilities of a general decay scheme for gamma ray spectroscopy, we model the decay scheme, rather naturally, as a quiver through which we define a decay quiver. The path algebra of quivers is the underlying, more general, algebra for transition matrices that is typically used in modelling decay schemes. The path algebra allows for concatenation of transitions which affords the calculation of cascade probabilities. We extend the path algebra to allow for the multiplication of non-composable paths, i.e., transition that don't directly share a level connecting them. We define the coincidence algebra as the algebra that allows for such an extension and realize it as the fibres for a coincidence algebra bundle, the base space of which is the path algebra where decay schemes live. A given decay schemes coincidence probabilities are calculated on its fibre. Detection maps are defined as linear maps on the base space that map transition probabilities to detected probabilities.

Speaker: Liam Schmidt (University of Guelph)

15:00 Ab Initio Nuclear Theory for Neutrinoless Double-Beta Decay

The search for neutrinoless double-beta decay ($0\nu\beta\beta$) is among the most promising probes of physics beyond the Standard Model. Its observation would establish lepton-number violation, confirm the Majorana nature of neutrinos, and probe the absolute neutrino mass scale. As upcoming experiments aim to extend half-life sensitivities by up to two orders of magnitude, reliable nuclear matrix elements (NMEs) are critical: without them, neutrino masses and the underlying decay mechanisms cannot be meaningfully constrained. Since $0\nu\beta\beta$ is intrinsically a beyond-Standard-Model process, multiple mechanisms may contribute. While the standard light-neutrino exchange channel has been widely studied, exotic mechanisms—particularly those mediated by heavy particles—remain comparatively unexplored within nuclear theory. Heavy sterile Majorana neutrinos, in particular, are strongly motivated in many extensions of the Standard Model, where they may play a significant or even dominant role in $0\nu\beta\beta$ decay.

We present the first ab initio calculations of the short-range NMEs required to describe exotic $0\nu\beta\beta$ exchange mechanisms in four experimentally relevant isotopes. Starting from two- and three-nucleon interactions derived from chiral effective field theory, we employ the in-medium similarity renormalization group to construct effective valence-space Hamiltonians and consistently evolved decay operators. Because heavy-particle exchange probes short distances, the resulting operators show strong sensitivity to the renormalization procedure. By varying chiral interactions and operator-renormalization schemes, we obtain NME ranges that are consistent with—but generally smaller than—those from phenomenological approaches. Finally, we apply our results with current experimental limits to the 3+1 model, assuming heavy-neutrino-exchange dominates the decay, and obtain constraints in the sterile-neutrino mixing-mass parameter space.

Speaker: Alex Todd (McGill University)

CAPCongress2026 presentation (1).pdf

15:15 Higher order electroweak radiative corrections in parity violating asymmetry using covariant approach

We perform detailed calculations of electroweak radiative corrections to parity violating lepton scattering with a proton target up to quadratic and reducible two-loop level using a covariant approach. Our numerical results are presented at energies relevant for a variety of existing and proposed experimental programs such as Qweak, P2, MOLLER, MUSE, and experiments at the EIC. Analysis shows that such corrections at the Next-to-Next-to-Leading Order (NNLO) are quite significant and have to be included in searches of physics beyond the standard model, matching the increasing precision of the future experimental programs at low-energy scales.

Speaker: Dr Mahumm Ghaffar (Memorial University of Newfoundland)

CAP_Ghaffar_2026.pdf

14:15 → 15:45 (DQI) T2-7 Quantum Photonics I | Photonique quantique I (DIQ)

Convener: Thomas Baker (Department of Physics & Astronomy and also of Chemistry, University of Victoria)

14:15 Towards implementation-secure and scalable quantum key distribution: protocols and networks

Quantum key distribution (QKD) uses quantum mechanics to promise information-theoretic security between remote parties. It has received worldwide attention as a candidate protocol for next-generation secure communications, and it paves the way for large-scale quantum networks. However, practical components in the sender/receiver of a QKD system can still contain loopholes. Ensuring the implementation security of QKD is, as of today, still a major challenge in the field. In this talk, I will introduce two of our main contributions to the field in addressing this challenge: (1) asymmetric Measurement-Device-Independent (MDI) and Twin-Field (TF) QKD protocols, which close loopholes from the receiver’s detectors while also enabling high-performance and scalable quantum networks unrestrained by user location, as well as (2) fully passive QKD protocols, which remove loopholes from the sender's modulators, and they can further be combined with MDI-QKD/TF-QKD to simultaneously protect the sender and the receiver and enable more secure quantum networks. The above two new families of protocols represent a huge step toward building more implementation-secure QKD systems and future quantum networks with high performance and robustness.

Speaker: Prof. Wenyuan (Mike) Wang (University of Calgary)

14:45 Learning How to Count: Individual Emitter Inference from Ensemble Photon Statistics

We present progress on exploiting photon-number statistics to characterize ensembles of distinguishable light emitters beyond conventional resolution limits. The photon-number distribution of light collected from an ensemble can carry statistical signatures that reflect the properties of its constituents, even when relevant degrees of freedom such as time, frequency, or spatial mode cannot directly be resolved. A well-known example is the use of the second-order correlation function, $g^{(2)}$, to estimate the number of independent single-photon emitters within an ensemble.

Building on this idea, we develop statistical models of photon emission to identify and quantify individual emitters from photon-number measurements, and we analyze the information-theoretic bounds governing this inference problem. We show that emitter identification remains feasible even when the emitters overlap within the detector response and are not individually resolvable.

To demonstrate these ideas experimentally, we generate photons in ultrafast time bins separated by only a few picoseconds using group-velocity delays introduced by birefringent materials. The time bins follow thermal photon statistics produced by a spontaneous parametric down-conversion process. We detect the resulting light with photon-number-resolving transition-edge sensors capable of resolving up to ten photons within a single optical pulse. Although the detector is far too slow to resolve the individual time bins, we show that our statistical inference techniques can accurately retrieve the mean photon numbers of each bin from the measured photon-number distributions.

Finally, to extend this framework beyond analytically tractable models, we employ normalizing-flow neural networks capable of learning arbitrary probability distributions. This approach allows us to incorporate realistic experimental effects such as optical loss, detector demultiplexing, and noise, enabling the analysis of increasingly complex emitter ensembles, including both thermal and single-photon sources.

Speaker: Nicolas Dalbec-Constant (University of Ottawa)

15:00 Quantum Statistics of Pulsed Light

The coherence of a light source is a key property that is used to determine most of the assumptions we can make about that light source. However, the coherence of light is commonly defined in multiple ways. Practically, the coherence time is often defined as the maximum time difference at which interference fringes are visible when a light source interferes with itself. We can define the coherence time of light sources like continuous wave lasers and thermal sources in this way, even though their coherence times arise from different statistical properties. This difference in statistical properties is important because it changes the measurement of light in many other experiments. For example, the coherence time for thermal light is often measured by the second order coherence, $g^{(2)}(\tau)$. For a thermal source, the $g^{(2)}(\tau)$ goes to the average intensity for $\tau$ that are large compared to the same coherence time at which interference fringes are visible. The $g^{(2)}(\tau)$ for a continuous wave laser is instead constant at the average intensity and does not depend on the coherence time. Pulsed light is multimode, unlike a continuous wave laser, but does not arise from an ensemble of independent sources like thermal light. Physically, this changes how pulsed light is time averaged in a measurement, which also changes how measurement results indicate the statistical properties of the light. We return to the foundations of quantum optics to find the statistics that can describe a beam of multimode light. We then predict the results of common coherence measurements like interference fringes and intensity interference. Based on the known results of these measurements with pulsed light, we determine a general quantum statistical description of pulsed light.

Speaker: Joscelyn van der Veen

15:15 Development of a Quantum Network Testbed for Standards and Quantum Metrology

The advent of reliable single-photon generation and detection has significantly accelerated the development of quantum technologies in real-world applications, including quantum-secure communication across metropolitan networks. To support the standardization of the operation and characterization of quantum devices, the NRC Metrology Research Centre has established a calibration platform for single-photon sources and detectors.

Building on this foundation, we are developing a quantum network testbed based on entangled particles of light. Each node is equipped with photon-number-resolving detectors and quantum state analyzers, with real-time network synchronization. This testbed will provide a platform for academic and industrial validation of quantum hardware by enabling in-situ calibration within a networked configuration, thereby supporting the development of Canadian quantum photonics standards.

In addition, it will offer infrastructure to investigate fundamental quantum correlations between entangled particles, with the aim of enhancing measurement precision beyond classical limits and approaching the ultimate bounds set by quantum mechanics.

Speaker: Dr Jeongwan Jin (National Research Council Canada)

15:30 Entanglement distribution modeling with quantum memories in a global and local clock system

Through the use of our self-developed simulation algorithm, we developed a model predicting entanglement distribution between two end parties of a quantum network. The model stochastically simulates global and local clock systems with finite quantum memory parameters. The model allows for the tabulation of key generation rates for independently operating quantum repeaters in a distribution chain. Numerical simulations were developed stochastically, relating quantum memory (QM) efficiency to storage lifetimes. The results revealed the relationship between a QM lifetime and the amount of time needed for successful entanglement distribution between parties. The model is innovative and comprehensive, acting as a transformative resource for quantum network simulation.

Speaker: Tasmi Ahmed (Carleton University)

14:15 → 15:45 (DPP) T2-8 Plasma and Material Processing | Traitement par plasma et traitement des matériaux (DPP)

Convener: Amina Hussein (University of Alberta)

14:15 Making of efficient p-type GaN by plasma-assisted molecular beam epitaxy

Efficient p-type doping remains a central challenge in GaN epitaxy and associated devices such as light-emitting diodes, laser diodes, photoelectrochemical cells as well as quantum devices. Plasma-assisted molecular beam epitaxy (PA-MBE) offers a compelling alternative to metal-organic vapor phase epitaxy (MOVPE) due to its intrinsic advantages in Mg incorporation and the absence of post-growth activation—an especially critical benefit for tunnel-junction and polarization-engineered devices. Despite numerous reports of successful Mg doping, a comprehensive understanding of growth-regime-dependent incorporation behavior across III/V ratios and temperature ranges remains incomplete.

In this work, we present a systematic investigation of Mg acceptor incorporation in GaN grown by PA-MBE under both Ga-rich and N-rich conditions spanning low (~580 °C) and high (~740 °C) temperature regimes. The growth temperature boundary near ~650 °C separates two fundamentally distinct kinetic regimes: in the low-temperature Ga-rich regime, a self-regulated Ga bilayer stabilizes the surface, while at higher temperatures excess Ga rapidly desorbs, eliminating bilayer formation. Although Ga-rich growth has traditionally been favored for achieving high crystalline quality, its influence on Mg incorporation efficiency requires further investigation.

A comprehensive growth map was constructed to correlate Mg incorporation, surface morphology, and electrical properties as a function of III/V ratio and temperature. Secondary ion mass spectroscopy (SIMS) reveals significantly enhanced Mg incorporation efficiency (~80%) under N-rich conditions. In contrast, Ga-rich growth produces smoother surfaces with root-mean-square roughness of ~1–2 nm but exhibits reduced Mg incorporation. Room-temperature Hall measurements confirm tunable hole concentrations ranging from ~7 × 10¹⁷ cm⁻³ (Ga-rich) to ~2 × 10¹⁹ cm⁻³ (N-rich) at fixed Mg flux.These results establish a clear trade-off between surface morphology and Mg incorporation efficiency and provide a practical growth-regime guideline for optimizing p-type GaN. The findings are directly relevant to nitride-based light emitters, tunnel diodes, quantum emitters, PEC cells, and other advanced electronic and photonic device architectures.

Speaker: Sharif Md. Sadaf (INRS)

14:45 Experimental and numerical investigation of nanosecond discharges in air gap with hemispherical dielectric layer

Electrical discharges are transient phenomena highly sensitive to the geometric and dielectric properties of their surrounding environment. Such a dependence directly influences plasma-surface interactions and the efficiency of a related application. This study investigates experimentally and by simulation the propagation dynamics of nanosecond discharge in air gap with the presence of a hemispherical dielectric layer (HDL). Experimentally, the HDL was fabricated using 3D printing of opaque resin that has a dielectric permittivity εr = 3. Its diameter and thickness can be finely adjusted during printing. Herein, we investigate the influence of HDL’s thickness (100-1000 µm) on the dynamics of the discharge generated inside and outside of the HDL using an ICCD camera. To further determine the spatial and temporal properties of the discharge, numerical simulations are performed by adapting a 2D fluid model [1]. The simulation predicts the spatial evolution of electrons density and electric field inside and outside of the HDL. After being validated for the experimental cases, the model is employed to investigate the role of εr (3, 40, 80) on the discharge properties. The results offer new insights for understanding plasma-surface interactions which is highly needed for many applications.

Speaker: Mahdi Miloud Mohamed Boussa (Université de Montréal)

15:00 Effect of the chain of multiple water droplets on the propagation of a nanosecond pulsed plasma discharge at atmospheric pressure

Plasma–liquid interactions have attracted growing interest in both academia and industry [1] due to their relevance to chemical synthesis [2], microbial inactivation [3], and environmental remediation [4,5]. Discharges at atmospheric pressure are highly sensitive to nearby liquid structures, which can reshape their formation and propagation. In this work, we investigate how a chain of millimetre-scale water droplets influences the initiation, structure, and propagation behaviour of a nanosecond pulsed discharge in air.
A pin-to-pin electrode geometry is used, above a glass substrate. Chain of water droplets with controlled spacing and volume is placed on the substrate between the electrodes. The plasma is driven by 50–400 ns voltage pulses at peak amplitudes of 14–20 kV. Time-resolved current and voltage waveforms are recorded, and ICCD imaging combined with optical emission spectroscopy provides nanosecond-scale insight into streamer development and plasma–liquid interaction regions.
The introduction of a single droplet already modifies the discharge path compared with propagation in dry air, consistent with previous observations [6]. Increasing the number of droplets further alters breakdown timing, peak current, and filament topology. Enhanced local electric fields near droplets promote secondary streamer inception and lead to stronger OH and N₂ emission in the droplet vicinity, indicating intensified energy deposition and plasma–liquid coupling. This study examines whether these effects persist or evolve when multiple droplets are arranged in a chain.

Speaker: Ms Valentina Riazantceva (Institut national de la recherche scientifique)

15:15 Strain Engineering in Epitaxial SrTiO₃ Thin Films Grown by Magnetron Sputtering on Vicinal MgO Substrates

SrTiO₃ (STO), a functional perovskite oxide, is dielectric at room temperature but can become ferroelectric under strain or doping. Here, STO thin films are grown epitaxially on MgO substrates with vicinal surfaces flat terraces, with RMS roughness on the order of tens of picometers. The lattice mismatch between MgO (~4.2 Å) and STO (~3.9 Å) results in a tensile strain of approximately 7.8%, which is expected to induce strain-driven modifications of the material properties, potentially including ferroelectricity. STO films with different thicknesses were deposited, and the influence of RF power and deposition pressure was systematically investigated. AFM topography shows STO films replicate the vicinal MgO substrate structure, confirming epitaxial growth. XRD measurements detect the main peak of STO which is shifted due to the strain. The calculated d-spacing indicates an increase in the out-of-plane lattice parameter, which is unexpected for a purely tensile strain. Furthermore, survey XPS spectra confirm the correct stoichiometry of the STO films. Film thickness was determined by XRR and TEM imaging. Films deposited at low RF power (10 W) and high pressure (40 mTorr) resulted in ultra-thin (~6 nm) layers with exceptionally smooth surfaces. Higher power and pressure led to thicker films, together with increased surface roughness. At the most extreme deposition conditions corresponding to 20 W of deposition power, features that can be associated to deposition and resputtering by negatively charged oxygen ions. At intermediate conditions (15 W, 20–40 mTorr), small surface holes appear. These features are likely initiated in two steps: 1) by re-sputtering of atoms from sites with the lowest binding energy, such as step edges; 2) surface relaxation that occurs in these heavily strained regions. The results indicate that strain plays a significant role in the evolution of surface morphology. We highlight how fine-tuning deposition parameters can control film thickness, surface roughness, and strain-driven surface features.

Speaker: Elnaz Familsatarian (Institut national de la recherche scientifique, centre Énergie, Matériaux, Télécommunications (INRS-EMT) 1650 blvd Lionel Boulet, J3X 1P7 Varennes, QC, Canada)

STO thin film.pdf

15:30 Template-Free Growth of Monocrystalline Silver Nanosheets: Synergistic Effects of Interfacial Confinement and Oxidative Etching in Plasma-Liquid Systems

The development of sustainable, "green" synthesis routes for two-dimensional (2D) noble metal nanostructures remains a significant challenge in materials science, often requiring complex surfactants, capping agents, or physical templates to induce anisotropy. In this work, we demonstrate a versatile, eco-friendly platform for the precision synthesis of high-aspect-ratio silver (Ag) nanostructures using nanosecond-pulsed electrical discharges over aqueous solutions. Unlike traditional colloidal chemistry, this method operates without the use of chemical stabilizers, surfactants, or physical templates, relying instead on the unique topological and chemical environment of the plasma-liquid interface.
Our results show that the interaction between the plasma and a droplet of silver nitrate solution yields high-purity, monocrystalline Ag nanosheets. Under standard discharge conditions, these nanostructures exhibit average dimensions of approximately 500 nm in length and 8 nm in thickness. We propose that this extreme anisotropy is driven by a dual mechanism specific to the reactor geometry and plasma chemistry: spatial confinement and oxidative etching. Physically, the hemispherical shape of the droplet and the localized plasma interaction create a "quasi-two-dimensional" reaction zone that restricts vertical diffusion and promotes lateral migration of adatoms.
Chemically, this physical confinement is reinforced by oxidative etching driven by hydrogen peroxide (H₂O₂) generated in situ at the interface. The abundant reactive oxygen species selectively etch specific crystallographic facets, destabilizing spherical growth and forcing the crystal to expand laterally. To validate this growth mechanism, control experiments were conducted with the direct introduction of H₂O₂ to the precursor solution. This modification resulted in a dramatic enhancement of anisotropic growth, yielding significantly larger monocrystalline sheets with dimensions reaching ~10 µm in length and ~78 nm in thickness.
These findings confirm that the concentration of reactive oxygen species, bounded by the droplet interface, is the rate-limiting factor in defining the aspect ratio of the nanomaterials. This work provides critical mechanistic insights into mask-less lithography at the nanoscale and suggests a scalable pathway for synthesizing stabilizer-free 2D nanosheets of other transition metals and their alloys.

Speaker: Lyes Sebih (Université de Montréal)

14:15 → 15:45 (PPD) T2-9 Neutrinos | Neutrinos (PPD)

Convener: James Page (Queen's University)

14:15 Probing the Nature of Neutrinos with the Deep Underground Neutrino Experiment (DUNE)

Neutrino oscillations have led to the discovery that neutrinos have nonzero masses. The current model describes the oscillation phenomenon in terms of three mixing angles and one CP-violating phase. Within the three-flavour paradigm, the other two major unknowns are the neutrino mass ordering and whether charge-parity is violated in the leptonic sector. The Deep Underground Neutrino Experiment (DUNE) is an ambitious research program in neutrino physics under construction at Fermilab and the Sanford Underground Research Facility (SURF), uniquely designed to measure many oscillation parameters and eventually test the validity of the oscillation model. Additionally, its design will offer the opportunity for non-beam related neutrino physics including supernova neutrinos, atmospheric neutrinos, and neutrinos originating in the core of the Sun. DUNE is a long baseline neutrino oscillation experiment with a detector close to the neutrino beam source at Fermilab (Near Detector) and a detector 1300 km away in South Dakota (Far Detector). Both the Near and Far Detector are based on Liquid Argon Time Projection Chamber (LArTPC) technology that measures neutrinos and antineutrinos over a wide range of energies. The Near Detector measures the unoscillated neutrino flux and constrains systematic uncertainties to predict the neutrino flux at the Far Detector, where the oscillated (anti-)neutrino beam is measured. The Far Detector will comprise at least two multi-kiloton underground LArTPCs, and the Near Detector will consist of a LArTPC module combined with two additional tracking detectors to obtain a robust characterization of the neutrino flux. In this talk, I will present the rich DUNE neutrino physics program, its sophisticated design, and the results from the Near and Far detector prototypes, together with the current status and future plans, emphasizing the contributions of the Canadian institutions involved.

Speaker: Gianfranco Ingratta (York University - CA)

DUNE_ingratta_at_CAP26.pdf

Ingratta_at_CAP26_abstract_talk.pdf

14:45 ICARUS at Fermilab: Experimental Program and Status

The process of neutrino oscillation, where neutrinos created as one type (flavour) will be measured as another flavour after propagation with an oscillating probability, was confirmed by SNO in Canada and Super-Kamiokande in Japan approximately 25 years ago. Since then, experiments have gained increased reach and precision on the parameters involved. A new generation of experiments, led by the Deep Underground Neutrino Experiment (DUNE) in North America using a liquid argon detector and Hyper-Kamiokande in Japan using water Čerenkov detection, will aim to reach unprecedented sensitivity to CP violation in neutrinos and provide important results on several other parameters and processes. Meanwhile, a handful of other open questions remain related to neutrinos; for example could there be an additional “sterile” neutrino state participating in oscillations or other beyond Standard Model behaviour of neutrinos?

The Short Baseline Neutrino (SBN) Program at Fermilab near Chicago is an experimental program that will use the data from multiple detectors at a short distance from the neutrino beam origin in seeking to clarify this sterile neutrino possibility. Much like a typical two-detector oscillation measurement where a near and far detector are used to study the beam before and after oscillations, the SBN Program will use two detectors to gain sensitivity to short-baseline oscillatory effects or other beyond Standard Model signatures.

Specifically, the Short Baseline Near Detector (SBND) and Imaging Cosmic and Rare Underground Signals (ICARUS) detectors are operating at approximately 100 m and 600 m along a neutrino beamline with peak flux between several hundred MeV and approximately 1 GeV. ICARUS also operates approximately six degrees off-axis and 800 m away from a second neutrino beamline at Fermilab. Though significantly smaller than the DUNE far detectors, the SBN Program uses liquid argon detectors and provides key experience en route to DUNE. Likewise, in addition to oscillation searches, these detectors will collect neutrino interaction data on argon targets, enabling key measurements of neutrino interactions that will unlock the next generation of oscillation measurements. This talk will highlight the ICARUS detector, its experimental program, and recent results, highlighting a measurement of neutrino interactions and other analyses.

Speaker: Bruce Howard (York University & Fermilab)

BH_ICARUS_CAPCongress2026.pdf

15:00 Chroma: An Open-Source GPU-Based Optical Simulation Tool for Liquid Noble Detectors and Beyond

Accurate and fast optical photon simulation is critical for optimizing the geometry design of next-generation liquid noble and scintillator-based detectors, where light collection efficiency directly drives energy and position resolution. While standard tools like Geant4 are robust, they are often computationally expensive for high-photon-yield applications. In this talk, we present our development of a workflow based on Chroma, a GPU-based ray-tracing framework that accelerates optical photon propagation by orders of magnitude compared to CPU-based methods. To demonstrate its physical accuracy, we showcase validation results from the Light-only Liquid Xenon (LoLX) experiment. We validate the simulation by comparing its outputs with experimental data, specifically highlighting the energy and position reconstruction of events from an external gamma calibration source. This open-source package aims to provide a user-friendly, scalable, and high-speed simulation solution for future liquid noble detectors or R&D experiments that require detailed optical characterization.

Speaker: Xiang Li (TRIUMF, Simon Fraser University)

2026.06_Chroma_CAP_XiangLi_v1.pdf

15:15 A New Liquid Argon Test Facility for Studies of Noble Liquids and Advanced Photodetectors

We are commissioning a liquid argon (LAr) cryostat at Queen’s to
study the properties of noble liquids and photo detectors. It will enable
local experimental research on xenon-doped liquid argon, a promising tar-
get medium for next-generation dark matter detectors such as DarkSide-
LowMass and the Scintillating Bubble Chamber (SBC), which aim to
probe weakly interacting massive particles (WIMPs) at sub-GeV mass
scales, and it will allow the characterization of sophisticated silicon pho-
tomultipliers.

In pure liquid argon, scintillation light is emitted at 128 nm with a long-
lived triplet component that enables pulse-shape discrimination. Xenon
doping shifts the emission to 178 nm on much faster timescales, increasing
light yield by up to ∼25% and enabling lower detection thresholds, but
at the cost of reduced pulse-shape discrimination, motivating dedicated
R&D to understand and optimize this trade-off.

The first and essential step toward these studies is the commissioning
of the cryostat and its supporting infrastructure, including the gas han-
dling, purification, and SiPM-based data acquisition systems. Following
commissioning, the facility will support studies of radon mitigation using
zeolite-based adsorption. While activated charcoal is the current industry
standard, recent results indicate that silver-zeolites have superior adsorp-
tion coefficient at ambient temperatures. This facility will investigate
their effectiveness at cryogenic temperatures, compatibility with xenon-
doped argon, and achievable radiopurity. Furthermore a custom designed
double-phase Time Projection Chamber (TPC) will allow for the very
first characterization of ionization signal from xenon-doped argon, as well
as of triethylamine, trimethylamine and trimethylglycine doped argon at
kev and sub-kev scale. In addition, the facility will enable the cryogenic
characterization in both pure and xenon-doped liquid argon of digitally
controlled silicon photomultipliers (3D-dSiPMs) developed at the Univer-
sit´e de Sherbrooke. Overall, this program aims to provide critical R&D
input for noble-liquid dark matter detectors and associated photosensor technologies
aimed at extending sensitivity to sub-GeV mass scales.

Speaker: Anantha Padmanabhan

2026_Anantha_CAP_Abstract-2.pdf

15:30 Radon Assay Facility at University of Windsor For nEXO experiment

Next-generation experiments searching for extremely rare processes, such as neutrinoless double beta decay, require unprecedented control and understanding of radioactive backgrounds. Among these, radon and its progeny represent a dominant and challenging background source due to their mobility and ability to plate out on detector surfaces. The nEXO experiment, a proposed tonne-scale liquid xenon time projection chamber designed to search for neutrinoless double beta decay of 136Xe, demands radon concentrations at or below the micro-becquerel level to achieve its targeted sensitivity. We focus on the isotope 222Rn, whose decay chain includes 214Bi, producing gamma emissions with energies close to the Q-value of the 136Xe double beta decay, making it a critical background for signal sensitivity. This talk will present the radon assay program developed at the University of Windsor in support of the nEXO collaboration. The program focuses on the design, construction, and characterization of high-sensitivity electrostatic chambers (ESCs) for radon emanation measurements. The developed assay infrastructure is intended to screen detector components that come into direct contact with liquid xenon or associated heat-transfer fluids, providing essential input for material selection and background modeling.

Speaker: Abo-bakr Emara

AboBakr_Emara_Radon Assay Facility CAP 2026_Ottawa.pdf

15:45 → 16:15 Health Break with Exhibitors | Pause santé avec les exposants

16:15 → 17:45 (PPD) T3-1 Colliders | Collisionneurs (PPD)

Convener: Matthew Basso (TRIUMF (CA))

16:15 ATLAS Upgrades for the High Luminosity LHC

While the on-going Run-3 data-taking campaign will provide twice the integrated proton-proton luminosity currently available at the Large Hadron Collider (LHC), most of the data expected for the full LHC physics program will only be delivered during the High Luminosity LHC phase, currently scheduled to start in 2030. For this, the LHC will undergo an ambitious upgrade program to be able to deliver an instantaneous luminosity of 7.5 × 10^34 cm−2 s−1, allowing the collection of more than 3 ab−1 of data at √s =13.6 (14) TeV. This unprecedented data sample will allow ATLAS to perform several precision measurements to constrain the Standard Model (SM) Theory in yet unexplored phase-spaces, in particular in the Higgs sector, a phase-space only accessible at the LHC. To benefit from such a rich data-sample it is fundamental to upgrade the detector to cope with the challenging experimental conditions that include huge levels of radiation and pile-up events. The ATLAS upgrade comprises the completely novel all-silicon Inner Tracker (ITk) with extended rapidity coverage that will replace the current Inner Detector; a redesigned trigger and data acquisition system for the calorimeters and muon systems allowing the implementation of a free-running readout system. This presentation will describe the ongoing ATLAS detector upgrade status and the main results obtained with the prototypes, giving a synthetic, yet global, view of the whole upgrade project. The focus will be on the Canadian contributions to the tracking and calorimeter upgrades which are in progress.

Speaker: Christoph Thomas Klein (Carleton University (CA))

2026-06-23_ATLAS_Upgrades.pdf

16:45 Constraints on on vector-like quark model from rare B decays.

I examine the minimal vector-like quark model, where a single down-type vector quark is added to Standard Model in light of the latest experimental data on rare $B_(s)$ decays. It is shown that, considering the so far overlooked Higgs loop contributions, the imposes stringent constraint on the mass of the vector quark within the discovery range of LHC.

Speaker: Mohammad Ahmady

CAP2026.pdf

17:00 Chasing a Rare Higgs Decay: From the LHC to the High Luminosity LHC using Neural Nets

The rare Higgs boson decay to two muons provides the best opportunity to measure the Higgs boson's coupling to a second generation fermion. The ATLAS collaboration at CERN has recently established evidence for this decay at 3.4 standard deviations ($\sigma$) using data from Run 2 and part of Run 3. Significance is expected to increase as the remaining Run 3 data from the Large Hadron Collider (LHC) is collected and analyzed, but it is not expected to meet the stringent 5.0 $\sigma$ requirement to announce a discovery. Estimates place discovery during the High-Luminosity LHC (HL-LHC) era during which seven times as much data as Runs 2 + 3 combined will be collected. Standard model processes like $H\to\mu\mu$ can be simulated ahead of time using the expected conditions of the future HL-LHC to provide estimates of the experimental reach of such rare physics processes. In particular, upgrades to the ATLAS detector for the HL-LHC era are expected to provide higher-quality information that can be used for classifying $H\to\mu\mu$ events. The analysis of $H\to\mu\mu$ during Run 2 + 3 has so far relied heavily on boosted decision trees to provide background reduction in the signal region, but studies suggest high-information environments could benefit from using neural network discriminators instead. This talk investigates the use of a neural network discriminator in the search for $H\to\mu\mu$ and discovery prospects using simulated HL-LHC data.

Speaker: Samuel Moir (Carleton University (CA))

SMoirCAPCongress.pptx

17:15 DeepSets Machine Learning in FPGA to Improve the ATLAS L0 Global Trigger for HL-LHC

The ATLAS detector is a general purpose detector at the Large Hadron Collider (LHC) that investigates a variety of physics, ranging from Higgs boson to possible particles that make up of dark matter. The LHC will be upgraded to become High-Luminosity LHC (HL-LHC) at the end of this decade, and in subsequent run periods a high-pileup environment resulting in up to 200 events per proton-proton collision bunch-crossing is expected. A more efficient trigger system in ATLAS is required to identify and calibrate the different physics objects in this high-pileup environment. Previous offline studies has shown that machine learning like GNN and DeepSets performs much better in identifying particle shower types and calibrating energy in the calorimeter compared to the existing architecture in the detector. The possible utilization of the DeepSets machine learning model for this calibration process in the online trigger is now being explored. Our DeepSets calibration model is being optimized to improve energy resolution while minimizing resources usage and latency on the FPGA. This talk will discuss an implementation proposal for its inclusion in the Level-0 (L0) Global trigger in ATLAS.

Speaker: Chin Chong Leong (University of British Columbia (CA))

MLFPGA_CAP2026.pdf

17:30 Error monitoring software for ITk strips readout at ATLAS

In 2030, the Large Hadron Collider (LHC) will begin operating at a higher instantaneous luminosity. At the ATLAS detector, this will result in an average of 200 interactions per proton-proton bunch crossing. In order to prepare for high-luminosity, the ATLAS detector must undergo several upgrades, including the replacement of the current particle tracker with the inner tracker (ITk). The new inner tracker will be able to resolve the increased density of charged particle tracks and also withstand the high radiation environment of the high-luminosity LHC. As a result, it will provide valuable event information for the precision measurement of the Standard Model and the search for physics beyond the Standard Model.
ITk uses two main subsystems to reconstruct charged particle tracks: silicon pixels in the inner central region and silicon strips in the outer central and forward regions. The data acquisition system for the silicon strips must read out over 60 million channels at a rate of 1 MHz, and can be affected by a variety of error conditions. In this talk, I will present a new histogramming tool that can be used to monitor the rate of these errors in real time. This provides valuable information about the performance of the readout system, and can help to quickly identify and resolve problems during system tests, integration, or data-taking. The effectiveness of this monitoring tool is studied with different hardware configurations and preliminary results are presented.

Speaker: Adrienne Jean Scott (University of Victoria (CA))

AdrienneScottCAPCongress2026.pdf

16:15 → 17:45 (PPD) T3-10 Dark Matter | Matière noire (PPD)

Convener: Seyda Ipek

16:15 The SuperCDMS experiment at SNOLAB

The SuperCDMS SNOLAB experiment is a direct detection dark matter experiment using semiconductor crystal detectors operating at cryogenic temperatures. The experiment is located in SNOLAB, which is 2$\,$km underground in the Creighton mine at Sudbury, Canada. With low background from cosmic sources, SNOLAB is ideal for rare event searches. The experiment uses 24 detectors, made of silicon and germanium, comprising of two detector types: one with phonon channels that is operated at high voltage ($\sim$100$\,$V), utilizing the Neganov-Trofimov-Luke (NTL) effect to amplify the phonon signal and achieve a low energy threshold, and another with phonon and charge sensors that enables effective background rejection. The experiment will probe low-mass WIMPs, dark photon absorption, and Axion-Like Particles. With the detectors cooled to their operating temperature, the commissioning phase is underway, with science data-taking expected later this year. This talk gives an overview of the experiment, its science goals, and a status update of the experiment at SNOLAB.

Speaker: Sukeerthi Dharani (University of British Columbia)

SuperCDMS_overview_SDharani_CAP2026.pdf

16:45 Searching for Dark Matter in Mica

any realistic models for dark matter predict the formation of extremely heavy composite particles in the early universe, with masses well in excess of 10^20 GeV. Today, the fluxes of these particles today would too low to be detectable in direct detection experiments on human timescales. This motivates searches for dark matter signatures in minerals with several-billion-year lifetimes. I discuss prior searches and future prospects for detecting dark matter in muscovite mica.

Speaker: Jennika Mcintosh (Queen's University)

CAP 2026 Presentation Final.pdf

CAP 2026 Presentation Final.pptx

17:00 First evidence of neutrino absorption on argon using 8B solar neutrinos in DEAP-3600

The DEAP-3600 experiment (Dark matter Experiment using Argon Pulseshape discrimination) at SNOLAB in Sudbury, Ontario is a single-phase liquid argon detector designed to probe for weakly interacting massive particles (WIMPs). The detector consists of 3.3 tonnes of liquid argon housed in a spherical acrylic vessel, which is viewed by 255 photomultiplier tubes (PMTs). Data taken from November 2016 to March 2020 is being used to support a broad physics program ranging from dark matter searches to rare-interaction studies in argon. Ongoing work includes exploring the evidence for high-energy solar neutrino interaction on Ar40, and the impact of detector upgrades. Details and status of those two items will be presented.

Speaker: Dr Shivam Garg (Carleton University)

CAP2026ShivamGarg.pdf

17:15 Studies of Anomalous Backgrounds in the PICO Detectors

The PICO experiment is a leading direct dark matter search that uses superheated Freon to identify interactions between dark matter particles and ordinary matter. These detectors are bubble chambers, where a potential dark matter particle can scatter off a nucleus and impart an amount of localized energy above a threshold. This causes a bubble nucleation in the superheated fluid, most commonly C$_3$F$_8$ in PICO. The resulting phase transition is optically and acoustically recorded, with acoustic sensors providing excellent discrimination between nucleations from nuclear recoils (neutrons and dark matter) and those from alphas. Our next-generation tonne-scale PICO detector, PICO-500, is currently under construction and is scheduled for commissioning at SNOLAB in Ontario, in 2026.

A significant source of background events arise from wall nucleations (bubbles that form near or on the vessel surfaces) which reduce both detector livetime and exposure. My research focuses on understanding the nucleation mechanisms underlying these wall events, whose origins remain largely unknown. This involves developing and testing theoretical models of bubble nucleation, performing experimental studies, and analyzing existing detector data to identify correlations or potential causes. Our current theories find the higher wall rates could result from a modified Seitz threshold, radioactive isotopes in the detector, or surface defects. Ultimately, this work aims to understand bubble nucleation mechanisms and improve the sensitivity of dark matter searches for PICO-500.

Speaker: Quinn Malin (University of Alberta)

Anomolous Events in PICO (CAP)2.pdf

17:30 Radon Mitigation Techniques for PICO-500 Assembly

Low background techniques have been used in particle physics for a long time, but have surged in the past 30 years. As the detectors get bigger and more sensitive, the need to reduce undesirable backgrounds have become the bottleneck to achieve greater sensitivity. The most common background is alpha particles from radon and its daughters. Simulations have shown that PICO-500, the next generation large-scale dark matter experiment at Snolab, will be limited by exposure to ambient radon if no mitigation is done. In this talk, I will detail the PICO detector design, the impact of radon on low background experiments and the techniques used for the assembly of PICO-500 to mitigate this background.

Speaker: Jeremy Savoie (Université de Montréal)

JSavoie_PICO_CAP_2026.pdf

16:15 → 17:45 (DQI) T3-11 Quantum Algorithms II | Algorithmes quantiques II (DIQ)

Convener: Thomas Baker (Department of Physics & Astronomy and also of Chemistry, University of Victoria)

16:15 Generative Learning of Optimal Quantum Measurements

Efficient measurement of quantum states is a fundamental task in quantum computing. In particular, for many near-term quantum algorithms, a key challenge is how to accurately estimate a large number of non-commuting Pauli observables with as few measurements as possible. One common strategy is to group observables into commuting sets, but measuring general commuting groups often requires deep circuits that are challenging to implement on near-term devices and remain costly in early fault-tolerant regimes. A more hardware-friendly alternative is to restrict to single-qubit rotations and qubit-wise commuting groups, but this often leads to smaller measurement groups and higher sampling cost.

In this talk, I will present a new measurement scheme based on generative learning. Rather than constructing explicit measurement groupings by solving NP-hard combinatorial optimization problems or performing nontrivial derandomization of classical shadows, our approach directly learns an ensemble of measurement circuits optimized for a given set of observables and resource constraints, such as the number of measurements and allowed circuit depth. Numerical results demonstrate systematic performance gains over state-of-the-art methods as well as promising generalization beyond the training regime. Our learning-based approach provides a flexible and general framework for practical measurement design in both near-term and early fault-tolerant settings, where quantum resources remain limited and imperfect.

Speaker: Prof. Cunlu Zhou (Universite de Sherbrooke)

16:45 Simulating Qubit Systems with Tensor Network Algorithms

In the quest for robust quantum computers with large number of qubits one the roadblocks is the predictability of qubit design. Exact diagonalization techniques for the simulation of quantum computing systems can only handle a handful of qubits. We are quickly surpassing this qubit number in both superconducting circuit and other quantum systems. To simulate these systems and predict the effects of noise we must use tensor network algorithms. These simulation techniques will quicken the pace of quantum computing advancement as we will be able to predict which circuits or other constructions will or will not work efficiently or effectively.
A.N. acknowledges the NSERC CREATE in Quantum Computing Program, grant number 543245. This research was undertaken, in part, thanks to funding from the Canada Research Chairs Program (CRC-2021-00257). This work has been supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC) under grants RGPIN-2023-05510 and DGECR-2023-00026.

Speaker: Anne Najdzionek (Department of Physics & Astronomy, University of Victoria, Victoria, British Columbia V8P 5C2, Canada)

17:00 Hybrid Quantum Genetic Algorithm for Stable Hyperparameter Optimization in Flood Prediction Models

Quantum computing promises new ways to tackle high-dimensional, combinatorial optimization problems that appear throughout scientific modelling. Flood prediction is one such area: modern neural networks can support large-scale, data-driven flood mapping, but their performance is highly sensitive to hyperparameter choices, and repeated tuning is computationally expensive. In this work, we investigate a Hybrid Quantum Genetic Algorithm (HQGA) as a NISQ-era quantum optimization primitive for hyperparameter search in a flood-prediction neural network.

Our case study targets binary classification of flooded versus non-flooded areas for a simulated event along the Saskatoon River, Canada. HQGA encodes candidate hyperparameter configurations (e.g., multilayer perceptron depth and width, learning rate, dropout, batch size and epochs) in a parameterized quantum circuit, while classical genetic operators perform selection, crossover and mutation. We compare HQGA against two strong classical baselines for hyperparameter optimization—a genetic algorithm (GA) and Bayesian optimization (BO)—under a shared search space and budget. Each method is run for 20 batches of 20 runs (400 HPO runs per method); every selected configuration is then evaluated by training the neural network with multiple initialization seeds and testing on both a held-out test set and an “entire region” evaluation set.

Across all methods, mean accuracy, F1-score, precision and recall are comparable, showing that the quantum-enhanced optimizer reaches a similar performance regime to the classical baselines. The key quantitative advantage of HQGA is stability: over 400 runs, it exhibits a statistically significant reduction in the variance of evaluation metrics and in the number of generations required to reach near-optimal performance, compared with GA and BO. This indicates that HQGA yields consistently strong hyperparameter settings with fewer poor runs.

From a broader quantum-computing perspective, our results provide an application-driven benchmark of a hybrid quantum optimizer embedded in a realistic environmental modelling workflow. They show that, even in the NISQ regime and without claiming a formal quantum speedup, quantum-enhanced search can already act as a robust, practically useful component in flood-prediction pipelines, and outline a concrete path for scaling quantum optimization to more complex hydrological and climate-risk models as hardware matures.

Speaker: Mahkame Salimi Moghadam (University of Calgary)

17:15 Variational Imaginary-Time Polynomial Filtering with Ancilla-Based Implementation

Imaginary-time evolution (ITE) provides a direct route to ground-state preparation by exponentially suppressing excited-state contributions, but practical implementations on quantum hardware are limited by rapidly growing circuit depth and intrinsically low per-step success probabilities. To address these limitations, we develop a variational imaginary-time evolution framework based on polynomial filtering, derived from an operator-level action principle, which yields an optimized non-unitary projector expressed as a finite polynomial in the Hamiltonian. Starting from a single-ancilla, first-order imaginary-time update defined by a Taylor expansion, we show that replacing the Taylor form with a variational polynomial substantially improves both accuracy and stability at larger time steps, leading to up to an order-of-magnitude enhancement in the final success probability. Benchmarks on the transverse-field Ising model demonstrate faster convergence to the ground-state energy and improved robustness compared to standard Taylor-based ITE, highlighting variational polynomial filtering as a practical route to higher-fidelity ground-state preparation on near-term quantum devices.

Speaker: Dr Bahman Seifi (Department of Physics and Physical Oceanography, Memorial University of Newfoundland and Labrador)

16:15 → 17:45 (DTP) T3-2 Quantum and Semi-Classical Gravity | Gravité quantique et semi-classique (DPT)

Convener: Prof. Hari Kunduri (McMaster University, Mathematics and Physics)

16:15 The problem of time in quantum gravity: a cosmological case

The problem of time is one of the most profound issues in fundamental physics. It states that all observable are frozen in coordinate time. However, there are several solutions proposed to this issue. I will briefly review the problem, and then present a solution based on the Montevideo Interpretation, a relational approach combined with the so-called evolving constants of motion,in the cosmological case.

Speaker: Prof. Saeed Rastgoo (University of Alberta)

CAP 2026 - Rastgoo.pdf

16:30 Causal Structure and Topology Change in Lorentzian Simplicial Gravity

Abstract:
The gravitational path integral requires summing over geometries, yet it remains unclear which configurations should be included and which principles should constrain this sum. In particular, the role of causal structure and topology change remains subtle, especially in Lorentzian quantum gravity where amplitudes are intrinsically complex and highly constrained.

In this talk, I will discuss how these questions can be addressed within simplicial approaches to gravity, where geometry is discretized and causal relations can be implemented explicitly. I will review how Lorentzian Regge calculus and related discrete models provide a controlled setting to study causal structure, singular configurations, and their contribution to the path integral.

Special emphasis will be placed on configurations with localized causal irregularities, such as conical singularities and point-like defects, and on their relation to spatial topology-change. I will illustrate how such configurations contribute to Lorentzian amplitudes and how they differ from their Euclidean counterparts using low-dimensional examples. I will conclude with their implications for Lorentzian approaches to quantum gravity and open questions for future work.

Speaker: Seth Asante (University of New Brunswick)

16:45 Anomaly in canonical semiclassical gravity

We show that the canonical formulation of the semiclassical Einstein equation, where the matter terms in the constraints are replaced by expectation values of the corresponding operators in quantum states, is inconsistent due to the nonclosure of the resulting constraint algebra.

Speaker: Irfan Javed (University of New Brunswick)

17:00 Superposed quantum evolutions across chaotic and regular regimes

While the superposition of quantum evolutions is known to produce interference effects, the interference between evolutions with regular and chaotic classical limits remains largely unexplored. Here, we use a Mach–Zehnder interferometer to investigate the superposition of two quantum evolutions, implemented via post-selection, and to compare it with the corresponding classical mixture. The quantum kicked top provides a natural platform for this study, as its classical dynamics ranges from regular to mixed to fully chaotic depending on the Hamiltonian parameters. We show that when a regular evolution is superposed with a chaotic one, the resulting subsystem entropy can exceed that of the classical mixture, provided the contribution of the chaotic branch dominates in the superposed quantum evolution. We further demonstrate that entropy production in such superpositions is strongly influenced by the structure of the underlying classical phase space. We also show that increased entropy generation can occur for purely regular dynamics at small values of the chaos parameter, given an appropriate choice of post-selection. These results reveal a nontrivial interplay between classical chaos and quantum interference in superposed quantum dynamics.

Speaker: Amit Anand

CAP conference 2026.pdf

CAP conference 2026.pptx

Superposed quantum evolutions across chaotic and regular regimes

17:15 Local phase space representation of quantum fields

We derive a phase-space representation of non-relativistic and relativistic quantum fields by expanding the field operator in terms of a set of localized wave packets. The corresponding probability amplitude depends on mean position and momentum of each wave packet, which serve as phase space coordinates. The dynamical equation of the probability amplitude takes the form of a classical Vlasov equation with quantum corrections. We discuss applications of the method, including Schwinger and Unruh effect, and link the results to the locality problem of relativistic quantum fields.

Speaker: Karl-Peter Marzlin

16:15 → 17:45 (DAMOPC) T3-3 Ultra-cold Atoms to Anti-matter | Des atomes froids à l'antimatière (DPAMPC)

Convener: Dr Duncan O'Dell (McMaster University)

16:15 Toward nuclear spin imaging in single molecules with diamond quantum sensors

Ensemble-averaged techniques for molecular structure determination, such as conventional nuclear magnetic resonance (NMR) spectroscopy, obscure heterogeneity and rare conformations, motivating approaches for imaging individual nuclear spins within single molecules. However, detecting and localizing dilute spin ensembles remains challenging, requiring nanoscale spatial resolution, chemical specificity, and exceptional magnetic sensitivity.
Here, we present nitrogen-vacancy (NV) center NMR measurements of 19F-labeled DNA in the few-molecule regime [1] using individual shallow (5-nm-deep) NV centers in diamond nanopillars [2]. Mixed nitrogen- and oxygen-terminated surface chemistries enable covalent DNA attachment [3], minimizing NV–target spin separation and maintaining molecular and sensor stability. Labeling density, DNA sequence, and surface environment are systematically varied to optimize sensing conditions and demonstrate stable detection. The observed NMR signals deviate from ensemble spin-density models, indicating a transition to the few-molecule regime and necessitating new modeling approaches. These results establish key practical considerations for achieving robust few-molecule measurements.
Extending these results to the single-molecule and single-spin limits remains constrained by NV magnetic sensitivity, which is limited by spin-readout fidelity. To address this, we investigate cryogenic quantum sensors based on shallow (3- to 20-nm-deep) single silicon-vacancy (SiV) centers in diamond nanostructures [4]. Using resonant optical excitation, we observe narrow optical transitions that remain stable over hours, supporting high-fidelity spin readout. Moreover, we routinely identify devices operating in the high-strain regime, with sufficient spin–orbit mixing to enable sensitive, directional magnetic detection. These results provide a pathway toward nuclear spin imaging in single molecules.
References
Manuscript in preparation. Work performed in the Degen Lab at ETH Zurich.
T Zhu, J Rhensius, K Herb, V Damle, G Puebla-Hellmann, C L Degen, and E Janitz. Multicone Diamond Waveguides for Nanoscale Quantum Sensing. Nano Letters 23 (2023).
JM Abendroth, K Herb, E Janitz, T Zhu, LA Völker, and CL Degen. Single-Nitrogen–Vacancy NMR of Amine-Functionalized Diamond Surfaces. Nano Letters 22 (2022).
Ongoing work in the Janitz Lab at the University of Calgary.

Speakers: A. Mayer (University of Calgary, Canada), Dr B. Graham (University of Fribourg, Switzerland), Dr C.L. Degen (ETH Zurich, Switzerland), Prof. Erika Janitz (U Calgary), J.M. Abendroth (University of Calgary, Canada), Dr K. Herb (ETH Zurich, Switzerland)

16:45 What can two-body correlations tell us about ultracold atoms?

Ultracold atoms are a laboratory playground for studying emergent phenomena in many-body physics. The first conceptual step along the path from non-interacting (or mean-field) physics to many-body physics is via two-body interactions and correlations. Here, the diluteness of theses systems is appealing: the separation of scale between inter-atomic distances (typically over 100 nm) and the interaction range (typically less than 5 nm) provide both a strong connection to ab-initio theory and new avenues for control. I will discuss how two-body correlations can be observed, including a newly developed method that uses rapid dimer projection. The I will discuss several recent experiments that use correlations to study emergent interaction symmetry and relaxation dynamics of ultracold fermions. As an outlook, I will discuss some open problems in few-body systems.

Speaker: Joseph Thywissen (University of Toronto)

17:15 SME Constraints from Ground-State Antihydrogen Hyperfine Transitions in ALPHA

The observed dominance of matter over antimatter motivates precision comparisons of particles and antiparticles, where even extremely small differences could signal physics beyond the Standard Model. Antihydrogen, a positron bound to an antiproton, offers an exceptionally clean atomic system because its transition frequencies can be measured precisely and compared with the corresponding hydrogen transitions. In the ALPHA experiment at CERN, antihydrogen atoms are magnetically trapped and probed using microwave spectroscopy, enabling measurements of ground-state hyperfine transitions in a magnetic field and providing sensitive tests of Charge-Parity-Time (CPT) symmetry and Lorentz invariance.
We outline an analysis framework based on the Standard-Model Extension (SME), which parametrizes possible CPT- and Lorentz-violating effects as small background couplings to particle properties such as spin. These couplings can produce tiny, orientation- and time-dependent shifts in transition frequencies, including signatures that vary with sidereal time due to Earth’s rotation. Because trapped antihydrogen spectroscopy must be performed in the magnetic trapping field, hyperfine analyses often combine transition frequencies to suppress common sensitivity to magnetic-field variations; however, such combinations can also cancel leading spin-dependent SME contributions. We therefore focus on the SME interpretation of individual ground-state positron spin-flip transitions measured in ALPHA, treating each transition as an independent probe of spin-dependent symmetry-violating effects.
Using a time series of measured transition frequencies together with magnetic-field diagnostics and experimental geometry, we search for sidereal modulations and other orientation-dependent SME signatures while quantifying dominant systematics such as magnetic-field drifts. The goal is to use existing ALPHA datasets and future measurements to set improved antimatter-based bounds on spin-dependent SME parameters and compare them with matter-based limits.

Speaker: Pouya Heidari (University of Calgary (CA))

Pouya - CAP.pdf

Pouya - CAP.pptx

17:30 Towards a High Precision Measurement of the Hyperfine Splitting in Antihydrogen using Antiproton Spin Flips

The lack of antimatter in our universe challenges our understanding of nature at a fundamental level. The Standard Model of particle physics predicts that matter and antimatter should exist in equal proportions in the universe, yet we live in a matter-dominated universe. One motivation for studying antimatter is to test whether subtle differences between matter and antimatter could point to physics beyond the Standard Model. Precise comparisons between the simplest atomic systems of matter and antimatter, hydrogen and antihydrogen, provide especially sensitive tests, as the Standard Model predicts their spectra should be identical. In my research, I am developing a new technique to measure the ground-state hyperfine splitting of antihydrogen, a feature in the spectrum of antihydrogen that can be directly compared with hydrogen. I intend to improve the precision of this measurement by inducing antiproton (the antimatter counterpart to the proton) spin flips, which are insensitive to magnetic field variations near a specific field strength. To this end, I am developing a new microwave injection system compatible with the restrictive geometry of antihydrogen traps, capable of delivering the required microwave frequency to trapped antihydrogen atoms. This system will be integrated into the existing experimental infrastructure at the ALPHA Collaboration at CERN. By enabling more precise measurements of antihydrogen’s ground-state hyperfine splitting, my research will provide precise experimental tests of matter–antimatter symmetry.

Speaker: Sean Wilson (University of Calgary)

CAP_Congress_SeanWilson.pdf

16:15 → 17:45 (DCMMP) T3-4 Novel Systems and Data-Driven Approaches | Nouvelles approches systémiques et fondées sur les données (DPMCM)

Convener: Richard MacKenzie

16:15 Autoregressive Mixers as Efficient Neural Quantum State for Ground State Search

In recent years, Neural (network) Quantum States (NQS) emerged as powerful and reliable variational ansätze for studying strongly correlated quantum many-body systems. Since then, architectures such as restricted Boltzmann machines, recurrent neural networks, and convolutional neural networks, have been employed as wave function ansätze in variational Monte Carlo approaches to finding ground states of given Hamiltonians. More recently, the transformer (self-attention) artificial neural network architecture has demonstrated the capacity to capture long-range correlations. However, the computational cost of the transformer algorithm scales quadratically with the physical system size. Together with high memory requirements, this limits the transformer-based approach to modelling small quantum systems. In this work, we investigate the multilayer-perceptron Mixer (MLP-Mixer) as an efficient alternative ansatz for neural quantum states. We retrofit the Mixer into an autoregressive ansatz, allowing us to sample qubit configurations directly from the squared wavefunction. To benchmark our proposed architecture, we compare its performance on two-dimensional systems of different sizes in various phases of matter that we realize using common Hamiltonians. We show that the autoregressive Mixer finds comparable ground-state energies and exhibits favourable scalability. This suggests its computational efficiency as a viable alternative for large-scale many-body variational simulations.

Speaker: Mr Faith Oyedemi (University of Ottawa, ON Canada)

16:30 Machine Learning Approaches to Identify New Features in Infrared Images of Scored Cross-linked Polyethylene Pipe Subjected to Accelerated Aging

Cross-linked polyethylene (PEX) pipes are being used increasingly for water transport and heating applications. The pipes are exceptionally reliable but sometimes unexpected failures occur. We are using infrared microscopy, accelerated aging and machine learning analysis techniques to understand the mechanisms of pipe aging, degradation and failure [1-3]. In previous studies, we implemented linear dimensionality reduction [1] and deep generative modeling [2,3] approaches to learn disentangled representations of major sources of variance in our large body of infrared spectroscopy data collected on PEX-a pipe subjected to accelerated aging conditions. In the present study, we compare two machine learning approaches – principal component analysis (PCA) and a β-variational autoencoder (β-VAE) – to identify and analyze a new spectroscopic feature that develops during accelerated aging of PEX pipes in which scoring marks of adjustable depth have been introduced on the inner surface of the pipes. This spectroscopic feature, which corresponds to localized enhanced carboxylate absorbance, was not observed in unused or in-service pipes. Both PCA and β-VAE allow the identification of the variables (either principal components or latent variables) that are responsible for the largest variance in the data sets, but the deep learning β-VAE approach has the added advantage of identifying the physical significance of each variable.

[1] M. Grossutti, J. D’Amico, J. Quintal, H. MacFarlane, A. Quirk and J.R. Dutcher, J. Phys. Chem. Lett. 13, 5787 (2022).
[2] M. Grossutti, J. D’Amico, J. Quintal, H. MacFarlane, W.C. Wareham, A. Quirk and J.R. Dutcher, ACS Appl. Mater. Interfaces 15, 22532 (2023).
[3] J. D'Amico, M. Grossutti and J.R. Dutcher, ACS Appl. Polym. Mater. 6, 534 (2024)

Speaker: Zachery Evans (University of Guelph)

CAP Congress ZE_JRD January 2026.docx

16:45 Studying Quantum Chaotic Behaviour in Disordered Materials via Quantum Computing

In chaotic dynamics, the eigenstate thermalization hypothesis (ETH) posits that quantum systems evolve toward an equilibrium state over time, regardless of their initial state. Equivalently, the expectation value of an observable with few degrees of freedom will relax towards a thermal value despite the wavefunction evolving through time [1]. However, there exist quantum mechanical phenomena that violate the ETH, such as quantum chaos, which is the focus of this research.

In this work, we explore quantum chaotic behaviour in disordered materials through simulations inspired by quantum computational algorithms. We leverage the power of quantum-inspired algorithms to simulate the dynamics shown by inconsistent atomic arrangements of disordered materials. Such structures create thermal properties that violate the ETH. This work explores the properties originating from quantum chaos.

Quantum chaos studies chaos theory in quantum mechanical systems. Quantum chaotic dynamics manifest themselves in non-ergodic features called quantum birthmarks, which are probability density enhancements of initial quantum states and their subsequent time-evolved states. This probability density localization in the quantum phase space shows that the system does not relax into an equilibrium state at long times, which is a violation of the ETH. [2] Scarred quantum systems have quantum birthmarks on eigenstates exhibiting an increased probability density along unstable periodic orbits. Consequently, quantum revival, the periodic return of the initial state, occurs without further exploration of the phase space during thermalization. [1]

In this work, we investigate quantum chaotic behaviour by simulating the time evolution of scarred Hamiltonians and Hamiltonians built via random matrix theory (RMT). RMT is a framework used to generate random matrices following Wigner-Dyson level spacing statistics for quantum chaotic systems. To simulate such large matrices, we use quantum computing algorithms such as Trotterization and variational quantum algorithms. We further expand our research to many-body chaotic behaviours to investigate the dynamical properties of disordered materials.

References
[1] M. Srihari and A. Shaji, arXiv:2503.11616 (14 March 2025).
[2] A. M. Graf et al., arXiv:2412.02982 (4 December 2024).

Speaker: Christopher Kouton (University of Ottawa)

17:00 Exploring Alternative Layered Materials as Gate Dielectrics for 2D Material Based Devices

The performance and scalability of two-dimensional (2D) materials based quantum electronics devices critically depends on the choice of gate dielectric. In gate-defined quantum devices, high-κ dielectrics enhance electrostatic control and reduce gate leakage. Hexagonal boron nitride (hBN), a 2D layered material, has become a widely used dielectric due to the clean interface it forms with 2D materials and its wide band gap; however, its relatively low dielectric constant (κ ≈ 2.5–4) [1] limits the gate capacitance, and therefore the charge carrier density.

In this work, we investigate Lanthanum OxyBromide (LaOBr) as an alternative 2D crystalline layered dielectric. LaOBr combines a high dielectric constant with a wide band gap and structural compatibility with van der Waals heterostructures [2], making it a promising material to overcome the limitations of hBN while preserving the benefits of a clean 2D-2D interface.

To evaluate LaOBr as a suitable gate dielectric, we fabricated 2D material-based field-effect devices and characterized key electrical properties, focusing on the gate leakage current, device carrier mobility, gate dielectric breakdown, and dielectric constant. This work will prompt the study of other layered high-k dielectrics as alternatives to hBN, providing additional tuning knobs for heterostructure fabrication.

References:

[1] J. Boddison-Chouinard, et al. npj 2D Mater Appl 7, 50 (2023)

[2] A. Soll et al ACS Nano 2024, 18, 15, 10397–10406 (2024)

Speaker: Isaac Lagaud (NRC / University of Ottawa)

17:15 Challenges and advances in the modelling of activated processes: methodological developments and application of the kinetic Activation-Relaxation Technique

Understanding processes underlying the evolution of materials (aging, defect formation, chemical reactions, catalysis) requires simulation methods that can describe the atomistic kinetics of materials over time scales of seconds and more. While off-lattice Kinetic Monte Carlo simulations, such as the kinetic Activation-Relaxation Technique [1], have already demonstrated their ability to access these time scales for complex materials, these tools have remained somewhat marginal, however, due to a number of challenges. First, the low reliability of empirical potentials for the description of defects and alloys, especially of their associated activated states that control their kinetics. And, second, codes that are still very much experimental and unstable, making them hard to use, except by a few experts.

In this talk, I'll present recent advances to redesign the kART algorithm into a quick, versatile, stable, and easy-to-use Python code, pyKMC, using tools such as LAMMPS ([3]), the pARTn plugin ([4]), IRA ([5]), an efficient shape matching algorithm, and integrate on-the-fly machine-learned potential [6], in addition to discussing some recent applications of these methods.

References:
[1] El-Mellouhi et al. Physical Review B , 3202 (2008); Béland et al., Physical Review E 84, 67(2011)
[2] Thompson et al., Comp Phys Comm 1, 8171 (2022)
[3] Poberznik et al., Computer Physics Communications 5, 8961 (2024)
[4] M. Gunde et al., Software Impact, 12, 100264 (2022)
[5] Sanscartier et al., The Journal of Chemical Physics, 158, 244110 (2023)

Speaker: Normand Mousseau (Université de Montréal)

16:15 → 18:00 (DPP) T3-5 Complex Plasmas and Fusion | Plasmas complexes et fusion (DPP)

Convener: Amina Hussein

16:15 Microwave imaging Reflectometry for 2-D Plasma Density fluctuation measurement on EAST

A two-dimensional microwave imaging reflectometry (MIR) system has been
commissioned on the Experimental Advanced Superconducting Tokamak (EAST) to
characterize 2-D electron density fluctuations. The diagnostic operates in the W-band
(75–110 GHz) and employs a 12-channel poloidal receiver array combined with 8
frequency-tunable sources, providing 96 simultaneous measurement points with full
radial coverage across the pedestal region. This configuration enables the direct
measurement of key fluctuation properties, including the poloidal wavenumber,
wavelength, rotation velocity, and radial correlation length. Systematic research has
been conducted covering table-top experiments of the MIR system, studies on
forward modeling methods, development of signal processing algorithms, and field
debugging on the EAST device. Initial experimental results from the 2024–2025
campaigns will be presented, focusing on the dynamics of pedestal transport. The
MIR system substantially advances the diagnostic capability on EAST, offering new
insights into the underlying mechanisms governing pedestal stability and cross-field
transport.

Speaker: Prof. JinLin Xie (University of Science and Technology of China)

16:45 Examining the impact of buried layer targets on solid-density plasma formation enabled by bayesian inference applied to X-ray spectroscopy

Short-pulse, laser-solid interactions provide a unique platform to develop well-characterized laboratory high-energy density (HED) matter conditions to diagnose fundamental properties such as opacity and equations of state. One common method to produce uniform density plasma conditions is through the use of buried layer targets, where a high Z target is embedded within lower Z tamping layers. We compare the plasma conditions produced by irradiating bare copper and copper embedded within aluminum and plastic tamping layers with Colorado State University’s high-contrast, high-intensity (I ∼1021 W/cm2) ALEPH laser. Simultaneous measurements of front-side and rear-side K-shell fluorescence indicates significant bulk plasma heating and the generation of micron-scale, uniformly-heated, solid-density plasmas. We implement a Markov Chain Monte Carlo algorithm to estimate the probability distributions of the plasma temperature and density derived from the collisional-radiative modeling code SCRAM to show that the plasma conditions from bare copper targets are hotter and denser than those from the buried layer targets.

This work was supported by the U.S. Department of Energy Office of Science, Fusion Energy Sciences and Lawrence Livermore National Lab (LLNS Subcontract B643845, DOE/NNSA DEAC52), the LaserNetUS initiative at Colorado State University (Contract No. DE-SC-0019076 and DE-SC0021246), the NSERC Alliance - Alberta Innovates Advance Program (Agreement No. 212201089 and 222302077), and the Natural Sciences and Engineering Research Council of Canada (grant no. RGPIN-2021-04373). This research was undertaken, in part, thanks to funding from the Canada Research Chairs Program.

Speaker: Nicholas Beier (University of Alberta)

17:00 Acceleration Dynamics of KTX-CTI Compact Torus Plasma

Compact torus (CT) injection is a promising technique for core fueling in large magnetic confinement fusion devices, where the achievable injection velocity is determined by the CT acceleration dynamics. In this work, the acceleration behavior of CT plasma in the Compact torus injector on KTX device (KTX-CTI) is investigated experimentally and theoretically.
Time-resolved magnetic probe and fiber-optic interferometer measurements are analyzed using instantaneous frequency analysis (IFA) and equivalent circuit modeling to characterize the CT motion during acceleration. The results show that the CT acceleration process cannot be adequately described by conventional model that treat the CT as a dimensionless current sheet. Instead, the CT occupies the acceleration channel and exhibits a continuously increasing effective mass as it propagates downstream.
To capture this behavior, a variable-mass point model is introduced and applied to the KTX-CTI system. The model successfully reproduces the measured acceleration history and final CT velocity, demonstrating significantly improved agreement with experimental observations compared to simplified single-mass formulations. The results indicate that plasma entrainment and magnetic structure evolution play essential roles in governing the CT acceleration process.
These findings provide new insight into the physical mechanisms underlying CT acceleration and establish a more realistic modeling framework for compact torus injectors. The results are directly relevant to the optimization of high-velocity CT injection systems for core fueling applications in future fusion devices.
[1]. Chen Chen, Tao Lan et al Plasma Sci. Technol. 24, 045102 (2022).
[2]. Tao Lan et al Plasma Sci. Technol. 26, 105102 (2024).
[3]. Qilong Dong, Tao Lan et al Plasma Phys. Control. Fusion 67, 085004 (2025).

Speaker: Tao Lan (University of Science and Technology of China)

17:15 (POS-17) Multivariate Quantification of Gold Nanoparticles Using Nanoparticle-Enhanced LIB

Accurate quantification of gold nanoparticles (AuNPs) is critical for applications in nanotechnology, biomedicine, and functional materials. In this study, nanoparticle-enhanced laser-induced breakdown spectroscopy (NELIBS) is developed as a quantitative optical sensor for direct determination of AuNP concentration using
multivariate calibration.

NELIBS relies on the deposition of metallic nanoparticles onto a substrate prior to laser irradiation. Upon laser excitation, localized surface plasmon resonance(LSPR) in the metallic nanoparticles induces strong near-field enhancement,lowering the breakdown threshold and promoting more efficient plasma formation. This localized electromagnetic amplification modifies plasma temperature,
electron density, and emission intensity, thereby enhancing spectral sensitivity compared to conventional LIBS.

Colloidal 20 nm AuNPs at ten concentration levels were deposited onto titanium and aluminum substrates and analyzed using 532 nm and 1064 nm Nd:YAG excitation. Instead of single-line intensity calibration, full-spectrum partial least squares regression (PLSR) was employed to construct predictive models. The optimized PLSR model at 532 nm exhibited excellent performance (R² = 0.999) with relative prediction error below 5% and a limit of detection of ~2.5 ppm. Although 1064 nm excitation produced stronger emission enhancement at optimal
AuNP concentrations, its quantitative stability was lower (~13% relative error).

Plasma diagnostics, including electron temperature and electron density, were evaluated to correlate enhancement behavior with predictive accuracy. The results demonstrate that coupling plasmonic enhancement with multivariate spectral modeling enables reliable and sensitive AuNP quantification.

This work establishes NELIBS combined with PLSR as a robust analytical
platform for nanoparticle concentration sensing and provides insight into the interplay between plasmonic field enhancement, excitation wavelength, and quantitative plasma spectroscopy.

Speaker: Morteza Khalaji (University of Alberta)

17:30 Hydrodynamic Tuning of Interfacial Instabilities: Pressure-Controlled Bubble Dynamics at the Heptane-Water Interface

Electrical discharges generated at the interface of immiscible liquids (e.g., oil-water) drive rapid emulsification through the formation of cavitation bubbles and re-entrant liquid jets. While the electrical parameters (voltage, pulse width) are commonly used to modulate this interaction, the role of hydrodynamic confinement remains unexplored in organic-aqueous systems. This work presents an experimental investigation into the dynamics of nanosecond pulsed discharges at the heptane-water interface under variable ambient pressure ($P_{\infty} = 10 - 101$ kPa) and applied voltage. Using synchronized high-speed shadowgraphy (up to 100 kfps) and electrical diagnostics, we characterize the complete life cycle of the plasma-induced bubble. We demonstrate that ambient pressure acts as a critical tuning parameter for the dimensionless standoff distance ($\gamma = d/R_{max}$). Reducing $P_{\infty}$ significantly enhances the maximum bubble radius ($R_{max}$), effectively forcing a transition from stable oscillation to violent inertial jetting without altering the injected electrical energy. We analyze the trade-off between the increased jet penetration depth at low pressures and the reduced collapse intensity (shockwave amplitude) resulting from the lower driving pressure gradient ($\Delta P = P_{\infty} - P_v$). Experimental radius-time curves are validated against the Keller-Miksis formulation to quantify the thermodynamic efficiency of the discharge. The results indicate that optimizing $P_{\infty}$ allows for the control of emulsification regimes—balancing droplet size distribution against mixing depth—offering a novel, non-intrusive control method for plasma-liquid processing applications.

Speaker: Mohamed G. Elsheikh (Department of Physics, Université de Montréal, Montreal, Canada)

Abstract_Mohamed_Elsheikh.pdf

17:45 Fusion PFC Testing using Plasma Immersion Ion Implantation

Plasma Immersion Ion Implantation (PIII) is a high-fluence ion implantation technique well-suited for implanting large-area and non-planar targets. For these reasons it has found application in semiconductor wafer processing as well as nitridation of alloys and surface treatment of biomedical implants. A newer application of PIII has been using it to study the effects of particle radiation damage on tungsten plasma-facing components (PFCs) intended for plasma fusion applications. In this talk I will review some of our recent experimental work on the subject, including the use of synchrotron-based techniques for damage characterization.

Speaker: Michael Bradley

16:15 → 17:45 (DNP) T3-6 Hadrons-II | Hadrons-II (DPN) T3-6

Convener: Zisis Papandreou (University of Regina)

16:15 The Barel Imaging Calorimeter for the future EIC facility

The Electron-Ion Collider (EIC) is a next-generation facility designed to study the quark and gluon structure of nucleons and nuclei. Meeting its physics goals requires calorimetry systems with excellent particle identification and high-resolution electromagnetic measurements. The Barrel Imaging Calorimeter (BIC) of the ePIC detector addresses these needs by providing excellent electron identification in the presence of background pions, together with precise energy and position measurements of photons for key processes such as Deeply Virtual Compton Scattering and neutral pion reconstruction. The BIC is being developed through an international collaboration involving institutions in the United States, Canada, Korea, and Germany.

In this talk, I will present an overview of the BIC concept, which integrates a high-resolution scintillating-fiber–lead sampling calorimeter with low-power AstroPix monolithic active pixel sensors for imaging. I will summarize the physics-driven design choices, the expected performance based on simulation studies benchmarked to EIC requirements, and the current status of component integration and testing. Highlights from recent beam tests will be shown, along with an outlook on the development roadmap for this critical subsystem of the ePIC detector.

Speaker: Maria Zurek

CAP26_Zurek_Maria.pdf

16:45 Exploring Hadronic Structure: Precision Rosenbluth Separation for the Pion Form Factor at Jefferson Lab

One of the central challenges in modern physics is to unravel hadronic structure, in particular how the observed properties of hadrons (i.e. mass and spin) emerge from the underlying dynamics of quarks and gluons governed by Quantum Chromodynamics (QCD). The pion ($\pi$-meson) is the lightest quark-bound state and provides a particularly sensitive probe of quark confinement, since its structure is directly connected to these fundamental QCD mechanisms. The pion electromagnetic form factor (F_{\pi}) is a key observable that encodes information about the internal structure of the pion. It can be accessed through exclusive pion electro-production in the reaction $p(e,e'\pi^+)n$, where the measured cross-sections depend on the polarization of the exchanged virtual photon. The Pion-LT experiment at the Thomas Jefferson National Accelerator Facility (JLab) in Newport News, Virginia, was designed to measure $F_{\pi}$ at high $Q^2$ over a broad kinematic range. The experiment uses a unique Rosenbluth longitudinal–transverse (LT) separation technique to determine the longitudinal and transverse cross-sections, $\sigma_L$ and $\sigma_T$, with high precision. The precision of the cross-section separation depends on the accurate determination of small systematic uncertainties, since $F_{\pi}$ is extracted from $\sigma_L$. In this talk, I will present preliminary results for LT-separated cross-sections at $Q^2$ = 3.85 $GeV^2$ measured using the Rosenbluth technique, on behalf of the PionLT Collaboration.

Speaker: Mr Muhammad Junaid (University of Regina)

CAP_Congress_2026_MJ.pdf

17:00 GPD Factorization in Pion Electroproduction: PionLT

Generalized Parton Distributions (GPDs) are a huge advancement in our understanding of hadronic structure and non-perturbative QCD. To study GPDs, one may use the Deep Exclusive Meson Production (DEMP) reaction, but first one must find the Q^2 regime where DEMP is factorizable. The factorization regime is where the cross-section can be divided into two parts, a hard part calculated with pQCD, and a soft part parameterized by the GPDs. Theory predicts factorization will occur at "sufficiently high" Q^2. This presentation will discuss the current status of the PionLT experiment at Jefferson Lab to determine the onset of factorizability for the exclusive pion electro-production reaction. To determine factorizability we must perform a LT separation on the data, which divides the cross-section into components based on the virtual-photon polarization. The PionLT experiment uses the Rosenbluth technique to preform LT separations. If factorization is confirmed, one can extract GPD information from this same separated data.

Speaker: Nathan Heinrich (University of Regina)

NathanHeinrich_PionLTCAPSlides.pdf

16:15 → 17:45 (DPE) T3-7 Mentorship and Collaboration | Mentorat et collaboration (DEP)

Convener: Miranda Schmidt

16:15 What makes an effective mentorship program for early career researchers? A case study of the newly designed program at TRIUMF

Strong mentorship has been shown to increase mentees’ sense of STEM identity, improve student retention, and push mentees to tackle new challenges that promote professional growth. To provide equitable access to the benefits of mentorship, it is essential that we create structured and sustainable support for young scientists through mentorship programs tailored to their needs. However, minimal literature is available to guide the design of effective mentorship programs serving graduate students and postdoctoral scholars. In this talk, we will present preliminary results from our study into effective mentorship program design. Our research follows the TRIUMF Early Career Researchers Mentorship Program as a case study, which is a custom program serving undergraduates, graduate students, and postdocs at TRIUMF. The program also strives to make clear the benefits that mentors receive from participating. Both academic (focus on career progression) and peer (focus on new research environment acclimatization) mentorship program streams will be examined. Preliminary results from program surveys designed to ascertain both program impact and structural success will be presented. We will also provide recommendations for designing and running a successful mentorship program, based on participant feedback.

Speakers: Dr Benjamin Davis-Purcell (TRIUMF), Gabby Gelinas (University of Calgary)

TRIUMF ECR Mentorship Program CAP 2026.pdf

16:30 Neurodivergence in Physics Community: Invisible Labour, Barriers, and Effective Support

Physics courses place heavy demands on working memory, sensory regulation, and rapid collaboration - especially in large first-year lectures and noisy shared labs. This in-progress study translates two evidence streams into physics-ready practice: (1) a systematic scan of accessibility-related information from Atlantic Canadian universities, and (2) a scoping literature review on autistic students’ barriers and effective support in higher education. The goal is to reduce the invisible labour currently shouldered by neurodivergent students and equip frontline instructors with realistic supportive tools, while offering departments a catalyst for sustainable and long-term change in operational policies. Our approach begins with reviewing institutional webpages, policies, strategic plans, and student-service handbooks against a rubric informed by Universal Design for Learning (UDL) checkpoints, disability-inclusion benchmarks, and the CCWESTT Gender Equality in SETT Report Card. We synthesize peer-reviewed findings most relevant to neurodivergence in the physics community - which discuss options for lowering cognitive load and supportive practices without diluting rigor, and a discipline-level framework situating UDL in postsecondary physics curricula. We also incorporate lab-specific guidance in tool flexibility and explicit planning for sensory/physical barriers. Finally, we present “autistic burnout” not as inevitable, but preventable: chronic exhaustion and reduced tolerance after prolonged lack of support can be mitigated. We clarify why predictable course architecture and transparent communication matter in physics contexts and offer insights into TA training and group-work structures. The intended outcome is a physics culture that treats autism-informed, UDL-aligned teaching as a hallmark of instructional excellence.

Speaker: Ms Day MacKay (Saint Mary's University)

16:45 Promoting Successful Outcomes in Undergraduate Programs at The University of Winnipeg to Encourage Indigenous Students to Undertake Graduate Studies in Science and Engineering

With one of the largest per capita populations of Indigenous undergraduate students, The University of Winnipeg (UW) is strategically positioned to support Indigenous science students throughout their academic careers, including pathways to graduate school. With funding from the Robbins-Ollivier Award for Excellence in Equity, NSERC Promoscience, and UW, the university runs a suite of programs to reduce barriers and promote participation and success among Indigenous students in NSE. These programs include:
1. A four-week program for early undergraduate students to bolster confidence in their science skills, gain research experience under the mentorship of a faculty member, and to develop an academic community;
2. A chapter of the Canadian Indigenous Science and Engineering Society, which provides a consistent, year-round community presence on campus.
3. Increased access to NSERC USRAs for senior undergraduate students, which provides summer research opportunities; and
4. A twelve-week program run through Graduate Studies offering a variety of applied research projects, workshops designed to build academic and research skills, and social and cultural activities as students transition from undergraduate to graduate studies.
The development and implementation of two of the programs are currently led by steering committees to ensure there is input and feedback from Indigenous staff, faculty, students, and program alumni. Informal successes include increased participation rates across all programs, success of student graduates, recognition through program awards, and UW receiving double the allocated quota number of USRA recipients on campus. Additional outcomes of success of these programs include increased faculty participation, and changes in protocols for student research awards.
Difficulties for Indigenous students remain and programs need to work actively not to perpetuate barriers for students within these programs. These programs have inconsistently received guidance from Indigenous staff, faculty and students. The stipend amount for students in the programs has sometimes been an obstacle and the previous lack of Indigenous identity verification may also have created barriers for Indigenous students being supported by the program.

The authors wish to acknowledge funding from NSERC, Tri-Agency Canada Research Chairs Program, and UW.

Speaker: Melanie Martin

17:15 Doing the Work: Advancing Equity, Diversity, and Inclusion at SNOLAB

Large-scale physics experiments rely on diverse, interdisciplinary teams and long-term sustainability, making equity, diversity, and inclusion (EDI) essential components of scientific excellence. SNOLAB has undertaken a coordinated effort to strengthen EDI across its user community, with particular attention to student and early-career researcher engagement, collaboration-level initiatives, and locally driven projects within the laboratory environment.
This contribution presents an overview of SNOLAB’s current EDI activities, including the collection and use of demographic information to better understand the composition of its trainee population, the implementation of EDI plans developed by scientific collaborations, and the support of small-scale, targeted projects aimed at improving community well-being and participation. Emphasis is placed on practical approaches to embedding EDI principles into existing research structures, rather than treating them as parallel or auxiliary efforts.
Lessons learned from these initiatives are discussed, including challenges in data collection, communication across a diverse user base, support for developing EDI advancement plans, and balancing consistency with flexibility among collaborations of varying sizes. Planned next steps are also outlined, highlighting mechanisms for assessment, accountability, and continued community involvement. By sharing its recent experiences and forward-looking strategies, SNOLAB aims to contribute to broader discussions within the physics community and to support the development of inclusive practices at research facilities worldwide.

Speaker: Erica Caden (SNOLAB)

CAP_EDI_Caden_2026.pdf

16:15 → 17:45 (DPMB) T3-8 Dynamics of Life: New Frontiers in Experimental Biological Physics | La dynamique de la vie: nouvelles frontières de la physique biologique expérimentale (DPMB)

Convener: Mamadou Diop (Western University)

16:15 Exploring Neutron Imaging for In Situ Applications: Soft Tissue Preservation in Fossilized Bones and Water Uptake in Plants

Neutron imaging is a powerful non-destructive technique that is particularly sensitive to light elements, such as hydrogen, due to the interaction of neutrons with atomic nuclei rather than electron clouds. This unique contrast mechanism enables the visualization of materials and processes that are often inaccessible using conventional X-ray imaging, making neutron imaging especially well-suited for in situ studies.

This presentation highlights two emerging applications of neutron imaging. The first focuses on paleontology, where neutron imaging is being used to investigate the preservation of soft tissues, including blood vessels, within fossilized dinosaur bones. The ability to visualize these structures within their original three-dimensional geometry provides new opportunities to study tissue preservation and fossilization processes.

The second application addresses crop optimization and plant science. Owing to its exceptional sensitivity to water, neutron imaging enables direct visualization of water uptake and transport within plant root systems and surrounding soils. These measurements provide valuable insights into plant-water interactions and drought responses, supporting efforts to develop more resilient agricultural systems.

Together, these examples demonstrate the versatility of neutron imaging as a tool for studying dynamic processes across a wide range of scientific disciplines.

Speaker: Marcella Berg (Department of Physics, University of Regina)

16:45 Shedding New Light on Photosynthesis

Living organisms are much more than the sum of their parts, and understanding how they work requires studying them over a vast range of time and length scales. Photosynthesis beautifully illustrates the challenges inherent in studying biological systems: on a femtosecond to picosecond time scale, light energy absorbed by a photosynthetic antenna complex is transferred through a maze of antennas to a “reaction center” where it is stored as stable charge separation that fuels the downstream processes of biomass production. While an isolated chlorophyll pigment will absorb sunlight, a photosynthetic complex achieves entirely new functionality through exquisite control of the local pigment environment and the relative spacing and orientation of the constituent pigments, tailoring the energy landscape to orchestrate, in time and space, the energy transfer and charge separation events that underlie photosynthesis. To capture the fastest dynamical processes in biology, coherent multidimensional spectroscopies (CMDS) provide the ability to initiate synchronized biological function in an ensemble of molecules, and monitor, with exquisite time resolution, the system evolution via its response to a carefully timed sequence of laser pulses. I will demonstrate how multidimensional spectroscopies can address open questions about photosynthetic systems and describe our recent progress in developing and using these tools to probe the mechanisms of ultrafast energy conversion in natural photosynthetic systems.

Speaker: Jennifer Ogilvie (Department of Physics, University of Ottawa)

17:15 Using single-molecule interferometric light scattering to deduce protein aggregation mechanisms

Fibrillar aggregates of disordered proteins are a key feature of many diseases and also play diverse functional roles. The current state of the art for deducing protein aggregation mechanisms involves globally fitting concentration-dependent fibril growth kinetics to analytical models to infer the most plausible mechanism. Such analyses applied to many different proteins find that secondary processes (such as nucleation induced by large aggregates, or fragmentation of large aggregates into smaller pieces) most often dominate the kinetics, especially when there is a significant lag phase followed by rapid growth. By using the new method of mass photometry--based on interferometric light scattering measurements from single molecules in solution--to directly monitor the real-time evolution of oligomer populations during the aggregation cascade, we show that the standard analysis approach does not properly capture the aggregation mechanism. Studying tau protein, we globally fit not only the growth/decay kinetics for every oligomer population observed by mass photometry, but also the fibril kinetics monitored by ThT fluorescence, providing the first quantitative model of aggregation kinetics across all stages of the cascade based on direct observation.

Speaker: Michael Woodside (University of Alberta)

16:15 → 17:45 (DAPI) T3-9 Imaging, Spectroscopy, and Sensing | Imagerie, spectroscopie et détection (DPAI)

Convener: Steffon Luoma

16:15 Positioning Error Effects on Ptychographic Reconstruction

Ptychography is a scanning coherent diffraction imaging technique that takes far-field diffraction patterns measured at well-known, predefined scan points and reconstructs the two-dimensional complex X-ray transmission function. This technique has been used to image a wide range of technologically important samples, ranging from micrometeorites to x-ray optics, with reported spatial resolutions as high as 17 nm. Ptychography depends on three main components: coherent X-ray sources, efficient phase retrieval algorithms, and precise nano-positioning of samples. An investigation into the impact of nano-positioning errors on ptychographic reconstructions has not been conducted. We will systematically examine the effects of these errors in two distinct scenarios: (1) when the predefined scan points are hit accurately, but the recorded positions are erroneous, and (2) when the predefined scan points are missed, but the actual scan point positions are accurately known. With the analysis of these two cases, we intend to enhance the understanding of how ptychographic reconstructions are affected by positioning errors.

Speaker: Nicholas Simonson (University of Saskatchewan)

16:30 Uncovering the nature of closure phases

We present a fully analytic study of fork shaped a jumps seen in
mm-VLBI closure phases and derive the first closed form expressions that connect these bifurcations to intrinsic source asymmetries.
For a two-component (dipolar) brightness model we prove: (i) a necessary and sufficient branch cut invariant that links any integer change in the closure phase property to an intervening visibility null; (ii) a jump corollary and a local antisymmetry relation that together explain the characteristic fork morphology. These results provide a calibration independent toolkit for detecting visibility nulls, quantifying low order source asymmetries, and estimating achievable precision without Monte Carlo simulation.

Speaker: Shokoufe Faraji

16:45 Nanomembrane -based Microfluidic Platform with Embedded Electrical Pressure Transducer for On-Chip Nanoparticle Quantification

Accurate quantification of nanoparticle concentration is important in a host of fields, particularly in nanomedicine, electronics, and catalysis. Microfluidic systems present an opportunity to develop low-cost tests for nanoparticle quantification but often suffer technical challenges related to small sample volumes and optical interference from materials used to construct the device. Here we introduce a microfluidic device that integrates an ultrathin silicon nitride nanoporous membrane (nanomembrane) with an on-chip pressure transducer, designed to precisely quantify nanoparticle concentrations within a microfluidic device using an electrical readout for quantification. As nanoparticles are captured by the nanomembrane under pressure-driven flow, the pressure-differential across it changes and is measured by an on-chip transducer. The pressure transducer utilizes a thin PDMS membrane that deflects under pressure to change the cross-section and ionic flow resistance of an adjacent channel, which is measured using a pair of Ag/AgCl electrodes. This enables the determination of nano-particle concentration by analysis of the kinetics of trans-membrane pressure changes relative to particle blockage of the nanomembrane. We also propose a statistical model of nanomembrane fouling, which accounts for distributions in pore and particle sizes as well as the variety of blocking mechanisms and their interactions. This model provides a more detailed understanding of nanoparticle filtration behavior and the kinetics of nanopore blocking, enabling accurate concentration determination when used as a predictive model. Experimental validation of the model using the data acquired by the microfluidic device demonstrates a lower limit of detection on the order of 108 particles/mL, offering a versatile, non-optical approach for the in-situ quantification of nanoparticles in a microfluidic device.

Speaker: Zachary Morris (University of Ottawa)

17:00 Using phase interference to characterize dynamic properties – portable NMR rheometry and elastometry

Dynamic properties are a response of a sample to an applied dynamic stress. Changes in tissue viscoelasticity can be an indication of serious health issues; the flow induced in response to shear stress tells us about fluid viscosity.
Nuclear Magnetic Resonance (NMR) signal can be sensitized to measure displacements; its spatially-resolved NMR, also known as Magnetic Resonance Imaging (MRI), can provide a spatial distribution of stresses. However, conventional NMR and MRI instruments are big, expensive, and can only be used in a specially adapted laboratory. Portable NMR instruments are small, portable, inexpensive, and can be used virtually anywhere. The NMR signal comes from a “sensitive volume” outside the magnet array, greatly expanding the range of potential applications.
A well-controlled sensitive volume can be used as an integrator to measure dynamic properties, turning a portable NMR device into a versatile sensor. Its combination with a shear wave actuator enables portable NMR elastometry (see Fig. for optics- vs NMR-measured shear wave speeds). A NMR-measured response to shear stress can yield the flow index. A time-resolved detection of the transition time for a spin-up cylinder permits a completely non-invasive measurement of fluid viscosity. All our devices are homebuilt and can be assembled in a physics laboratory.

W. Selby, V. Belzile, J. Marshall, I. Mastikhin; Completely noninvasive viscosity characterization using a portable magnetic resonance sensor. Physics of Fluids 1 July 2025; 37 (7): 073119.
William Selby, Phil Garland, Igor Mastikhin. Transient shear wave elastometry using a portable magnetic resonance sensor. Magnetic resonance in Medicine (2025) 94(1):373-385.
Selby, W., Garland, P., and Mastikhin, I. "A Simple Portable Magnetic Resonance Technique for Characterizing Circular Couette Flow of Non-Newtonian Fluids", Journal of Magnetic Resonance (2022) 345, 107325.
Selby, W., Garland, P., and Mastikhin, I. "Dynamic Mechanical Analysis with Portable NMR", Journal of Magnetic Resonance (2022) 339, 107211

Speaker: Igor Mastikhin (University of New Brunswick)

Figure8.jpg

17:15 Estimating absolute optical properties in turbid media using single-distance broadband continuous-wave spectroscopy

Light interaction with turbid media has significant biomedical and industrial applications, including non-invasive hemodynamic monitoring and food processing. Light absorption reveals concentrations of chromophores, while scattering informs on the geometry and distribution of microstructures. Broadband continuous-wave spectroscopy (bCWS) is a simple, cost-effective approach for measuring optical attenuation over a broad spectral range. However, due to its limited dimensions of information content, disentangling the contributions of absorption and scattering from the overall attenuated signal remains a challenge. In contrast, more information-rich techniques like time-resolved spectroscopy (TRS) can reliably separate absorption and scattering; however, TRS is complex, costly, and slower than bCWS. We previously developed an algorithm based on the diffusion approximation for modelling single-distance bCWS measurements using chromophore absorption coefficients and Mie theory, which was further refined and validated in this study for estimating absolute optical properties. A series of phantom experiments was conducted, simultaneously acquiring bCWS (wavelengths: 680-920 nm) and TRS (wavelengths: 760, 808, 850, 915 nm) measurements for comparison. First, Intralipid phantoms were prepared by mixing distilled water and increasing concentrations of Intralipid, thereby increasing light scattering while absorption remained constant. Next, an Intralipid phantom was prepared with a buffer solution, and whole animal blood (Hb) and baker’s yeast (CCO) were subsequently added in two separate steps to change absorption. In the first set of phantoms, scattering increased linearly at each step, while absorption remained constant at that of pure water. In the second set of phantoms, scattering increased at each step, while absorption increased from that of pure water to the summed absorption of pure water, Hb, and CCO. The bCWS-estimated optical values demonstrated high agreement with TRS. These findings demonstrate that the algorithm reliably estimates optical properties from bCWS measurements at a single distance, providing an accessible approach for assessing optical properties of turbid media.

Speaker: Rasa Eskandari (Western University)

17:30 MC-MICAP-MS: A New Era of Stable Isotope Mass Spectrometry

The relative abundances of an element’s stable isotopes can change due to biological, physical, and chemical mass dependent processes in living systems and the environment. In a biological system, shifts in an element’s isotopic composition may indicate changes in its regulation due to disease, or exposure to toxic levels of the element or its parent isotopes. These changes in isotopic composition are subtle, and detecting differences in relative abundance requires precision measurement capabilities. The multiple collector mass spectrometer coupled to an inductively coupled argon plasma ion source (MC-ICP-MS) is the established method for high precision isotope abundance measurements. However, for some elements such as calcium and iron, isobaric interferences with argon-based polyatomic ions severely limit sensitivity and precision. A newly introduced instrument from the University of Calgary is enabling precision measurement of such isotopes with a multiple collector plasma mass spectrometer by replacing the argon plasma ion source with a microwave inductively coupled atmospheric pressure plasma (MICAP) source. The MICAP ion source uses a nitrogen-sustained plasma, eliminating argon-based interferences. In this talk, I will describe this new instrument and demonstrate how the MICAP minimizes the limitations faced by conventional argon MC-ICP-MS. Specifically, I will showcase the effectiveness of this novel instrument using examples of zinc and calcium isotopes and explore the new applications possible in the study of cycling of trace metals in biological systems.

Speaker: Gabby Gelinas (University of Calgary)

CAP 2026 Gelinas builds.pdf

17:45 → 18:00 Travel Time | Déplacement

18:00 → 19:30 DAMOPC Poster Session & Student Poster Competition | Session d'affiches DPAMPC et concours d'affiches étudiantes

18:00 (POS-11) A Large-Scale Programmable Trapped-Ion Quantum Simulator

Quantum simulators are platforms used to simulate classically intractable quantum systems. The ability to select an initial state, engineer interactions and select a measurement scheme enables a programmatic way to study quantum effects. Trapped atomic ions provide a versatile quantum simulation testbed due to their native all-to-all interactions, long coherence times and simple qubit state manipulation schemes. We present a large-scale quantum simulator, engineered to hold over 30 171Yb+ ion-qubits for both analog and digital quantum processing. The system incorporates an extreme high vacuum chamber (XHV), site selective qubit addressing, in situ mid-circuit measurement and reset, and high numerical aperture (NA) imaging for rapid state detection. We measure a local pressure of (3.9 ± 0.3) × 10−12 mbar using the ions in the room temperature system [1], corresponding to a long average interval of (1.9 ± 0.1) hrs/ion for collisions with background atoms, suitable for large scale quantum simulation experiments. Furthermore, a dual acousto-optical deflector (AOD) configuration has been implemented for site-selective addressing, as our means to implement single and multi-qubit logical operations. Using Fourier holography, a pristine beam is engineered to address a single ion with low-crosstalk to measure and reset a qubit state during a circuit [2]. This platform is intended to enable a wide range of quantum simulation experiments, including investigations of driven-dissipative quantum dynamics and measurement-driven quantum phase transitions.

[1] L. Hahn et al., arXiv:2512.11794, (2025).
[2] S. Mahato et al., arXiv:2512.13882, (2025).

Speaker: Fabien Lefebvre (University of Waterloo)

18:20 (POS-10) In-situ Waveform Sampling in a Reaction Microscope

Abstract: We introduce a novel in-situ method that utilizes momentum microscopy via single-atom ionization to capture the electric field of a femtosecond laser pulse.
Studying ultrafast, strong-field-driven phenomena in atoms and molecules is central to attosecond science, enabling direct access to electron dynamics on sub-cycle time scales. Reaction Microscopy, also known as Cold Target Recoil-Ion Momentum Spectroscopy (COLTRIMS), provides coincidence three-dimensional momentum measurements of photoelectrons and ions and has become a cornerstone technique for probing ultrafast processes. Since many field-driven processes evolve on a sub-cycle time scale, the complete characterization of the ionizing pulse is a critical aspect of many ultrafast photoionization experiments. Near infrared femtosecond laser technology has been the main driver of ultrafast photoionization science for the past two decades. However, most currently available near-infrared pulse characterization techniques that rely on nonlinear optical effects (e.g., FROG, SPIDER, D-scan) are primarily sensitive to the intensity envelope and do not provide information about the sub-cycle temporal evolution of the pulse. Strong-field ionization-based approaches offer direct sensitivity to the electric field waveform but are typically implemented ex situ and may require dedicated vacuum systems or auxiliary sampling pulses.
Tunneling Ionization with a Perturbation for the Time-domain Observation of an Electric Field (TIPTOE) enables sub-cycle sampling of arbitrary light waveforms in gases and solids. Here, we extend TIPTOE to the single-atom ionization regime inside a COLTRIMS spectrometer, enabling true in-situ waveform characterization. In our setup an intense, near-infrared femtosecond laser pulse is split into an intense, ionizing pulse and a weak, but otherwise identical, sampling pulse. The delay-dependent modulation of the ionization yield directly maps to the electric field of the sampling pulse. In addition, the photoelectron momentum distribution also provides direct access to the vector potential of the laser pulse. In summary we present a novel in-situ technique that combines COLTRIMS and TIPTOE to sample electric field waveforms via momentum microscopy using single-atom ionization. This approach offers a new level of control for studies of strong-field dynamics using photoionization coincidence momentum spectroscopy.

Speaker: pooya Ghavami (Joint Attosecond Science Laboratory, National Research Council of Canada and University of Ottawa, Ottawa, Canada)

18:22 (POS-8) Low-loss nonreciprocal phase-shifting element for cavity applications

Optical nonreciprocity refers to the phenomenon where light in a system behaves differently depending on its direction of propagation. We aim to create a low-loss nonreciprocal phase-shifting element which has different optical path length depending on propagation direction. When placed in a ring cavity, the asymmetry would create a difference between the optical path lengths for the counterpropagating waves, resulting in different resonance conditions for counterpropagating waves inside the cavity. Thus the cavity can support two distinct frequencies of light counterpropagating while both are on resonance inside the cavity. The interference of two counterpropagating waves at different frequencies will create a moving optical lattice, which can be used to trap and transport atoms. We present multiple proposed designs with different materials and mechanisms to achieve nonreciprocity, and a theoretical comparison between their performances. These mechanisms include combinations of the Faraday effect, stress-induced birefringence, Brewster’s angle, and anti-reflective coatings. We measured relevant optical properties of these proposed materials such as fused silica and terbium gallium garnet. We present prototypes of the nonreciprocal element as well as our investigations of their performance, such as optical loss, stability and tunability. Finally, we discuss the advantages, limitations, and practical challenges of each approach in creating the low-loss nonreciprocal phase-shifting element.

Speaker: Jannet Zang (University of Toronto)

18:24 (POS-7) High-Harmonic Generation in a Solid by Quantum States of Light

We present a theoretical framework to investigate high-harmonic generation (HHG) driven by Squeezed Coherent Thermal States (SCTS) of light. The study is motivated by the complementary roles played by squeezing and thermal fluctuations: while squeezing enhances quantum correlations, thermal photons introduce  decoherence and noise, and their coexistence in a coherent background provides a rich platform to explore competing quantum effects in nonlinear light–matter interactions.

The system is modeled as a two-level system driven by a quantized electromagnetic field, treating both the driving field and the emitter fully quantum mechanically. The initial field state is prepared in a SCTS, allowing continuous interplay between the coherent, squeezed vacuum, and thermal driving within a unified description. High-harmonic spectra are formulated in terms of the dipole autocorrelation function and evaluated using exact diagonalization and spectral decomposition, without invoking semiclassical, Floquet, or phase-averaging approximations.

This study establishes a general and flexible framework to systematically examine how coherence, squeezing, and thermal noise jointly influence quantum HHG processes. The study aims to provide insight into the interplay between nonclassical photon statistics and strong light–matter coupling, with direct relevance to cavity and circuit quantum electrodynamics platforms.

Speaker: Kous Mandal (University of Windsor)

18:26 (POS-6) Quantum Defect Extrapolations for the Rydberg P-States of Helium and Comparison with Experiment up to n = 102

Recent advances in theoretical techniques allow high precision calculations for the high-lying Rydberg P-states of helium up to principal quantum number n = 35 [1]. The present work develops extrapolation techniques based on the Ritz quantum defect method for the nonrelativistic energy, and 1/n expansions for the relativistic and quantum electrodynamic corrections which otherwise violate the Ritz expansion ansatz that only even powers of 1/n contribute. The resulting ionization energies of the P-states are accurate to better than $\pm$1 kHz in the range n > 35. Comparison with experimental transition frequencies up to n = 102 [2] yield ionization energies for the $1s2s\;^3S_1$ state. The results confirm a 9$\sigma$ discrepancy between theory [3] and experiment for the ionization energy of the $1s2s\;^3S_1$ state.

[1] G.W.F. Drake, A.T. Bondy, O.P. Hallett and B.C. Najem, Phys. Rev. A 113, 012810 (2026).
[2] G. Clausen et al. Phys. Rev. A 111, 012817 (2025).
[3] V. Patkos V.A. Yerokhin and K. Pachucki, Phys. Rev. A 103, 042809 (2021).

Speakers: Mr Oliver Hallett (Univerity of Windor), Ms Titamarie Maggio (University of Windsor), Mr Benjamin Najem (University of Windsor)

18:28 (POS-1) Development of a Field-Deployable Laser System for Canada’s First Portable Quantum Gravimeter

We present progress toward the development of Canada’s first portable quantum gravimeter at the University of New Brunswick, which is designed to detect time-variable gravity anomalies such as solid-earth tides and ocean loading phenomena. This work focuses on the implementation of a field-deployable laser system for cooling and manipulating a gas of rubidium-87 atoms at the heart of the gravimeter. The laser system involves three space-qualified fiber lasers: a Reference laser locked to an electronic transition in 87Rb, and two Follower lasers locked to the Reference using high-bandwidth optical phase-locked loops. The two Followers are amplified to high power and injected into the sensor head to facilitate gravity measurements. Similar all-fibered designs have demonstrated resilience against external thermal and vibrational noise, helping to ensure reliable operation in the field. Our laser system bridges the gap between cold-atom physics and practical geophysical applications, providing a stable foundation for high-sensitivity gravitational mapping.

Speaker: Owen Doty

18:30 (POS-2) Fe:ZnSe MIR Amplifier pumped by 0.4-J laser

Strong field science rapidly grew in the 1990s with the emergence of Ti:Sapphire based chirped pulse amplification (CPA) systems operating at 0.8 µm wavelength. Although many strong-field phenomena benefit from longer laser wavelengths [1, 2], to date this field has been largely restricted to near infrared range of 0.8 to 1 µm. The Fe:ZnSe-based CPA offers an efficient approach for reaching high-peak-power at 4 μm [3]. Our group established a Fe:ZnSe 12-pass CPA laser pumped by two 34-mJ, 120-μs Er:YAG lasers. We demonstrated 250-fs, 4.95-mJ pulses at a center wavelength of 4.07 μm [4]. To increase the output peak power of this system, we are establishing a Fe:ZnSe amplifier pumped by a high-energy laser diodes pumped Er:YAG laser. Here we report the measurements of the time-resolved small signal gain (SSG) of Fe:ZnSe crystals, with a goal of terawatt (TW) mid-infrared CPA.
The schematic of the measurement setup is shown in Fig.1. The updated high-power Fe:ZnSe amplifier is pumped by a diode-pumped Er:YAG laser. We used two 8×8×10 mm3 Fe:ZnSe crystals with the doping concentration of 5ⅹ1018 cm-3. The crystals were mounted in a vacuum chamber, which were cooled to 42 - 90 K to increase the upper-level lifetime and suppress thermal lensing.
The single-pass small signal was measured by using a 4-μm CW laser diode. The results are shown in Fig.2. The time-resolved gain was measured at different pump energies. Fig.2(a) shows the gain at approximately 70-mJ pump energy. The measurement shows a gain of over 23. When increasing the pump energy to 280 mJ, the gain increases to ~150, as shown in Fig.2(b). To the best of our knowledge, this is the highest gain ever reported for an Fe:ZnSe amplifier.
In summary, we obtained a small signal gain of 150 at 280-mJ pump energy when the Fe:ZnSe was cooled to 42 K. We are currently developing a multi-stage, multi-pass Fe:ZnSe CPA laser. The first stage amplifier is expected to deliver >30-mJ pulses at 100 Hz, which will be further amplified to TW for attosecond science and other strong field physics experiments.

Speaker: Fei Xu (University of Ottawa)

abstract Fei.pdf

18:32 (POS-5) A High-Power Picosecond Source For Pumping Mid-Infrared Optical Parametric Amplifiers

This work investigates the power-scaling potential of a holmium-doped yttrium lithium fluoride (Ho:YLF) chirped pulse amplifier (CPA) for pumping a mid-infrared zinc germanium phosphide (ZGP) optical parametric chirped pulse amplifier (OPCPA). The demonstrated double-pass Ho:YLF CPA delivers 2.05 μm pulses with 6 mJ pulse energy, 8 ps duration, and 5 kHz repetition rate, enabling OPCPA outputs of 400 μJ at 2.5 – 5 μm and compressible to few-cycle pulse durations. This mid-infrared source has been successfully used to seed an Fe:ZnSe CPA and is being scaled toward few-millijoule pulse energies to support attosecond pulse generation via high harmonic generation (HHG).
Few-cycle, few-millijoule mid-infrared laser sources are critical for applications in attosecond science, spectroscopy, terahertz and frequency-comb generation, surgery, and remote chemical sensing. In particular, extending HHG into the soft X-ray and water-window spectral regions (280–530 eV) requires longer-wavelength driving lasers due to the quadratic scaling of the cutoff photon energy with wavelength. The ZGP OPCPA presented here generates an octave-spanning spectrum from 2.5 to 4.8 μm, offering a pathway toward keV-level HHG photon energies. ZGP is well suited for this application due to its large effective nonlinear coefficient (75 pm/V), broad transparency window (2–12 μm), and high conversion efficiency. Pumping ZGP above 2 μm minimizes absorption, making the 2.05 μm Ho:YLF CPA an optimal choice.
Compared to earlier Ti:sapphire-driven systems limited to 1 kHz operation, the present architecture employs a commercial Yb:KGW front-end and optimized Ho:YLF CPA cooling, enabling operation at 5 kHz with comparable pulse energies. In the Ho:YLF CPA, a conversion efficiency of 38% from absorbed pump power to output power was achieved at 31 W average power. Planned Ho:YLF booster stages are expected to scale the 2.05 μm pulse energy to 30 mJ, placing few-millijoule, CEP-stable mid-infrared pulses via OPCPA within reach. This work demonstrates a compact, high-repetition-rate, cryogen-free mid-infrared femtosecond source suitable for next-generation attosecond experiments.

Speaker: Chase Geiger (University of Ottawa)

18:34 (POS-13) Design of a Barium Ion Quantum Information Processing Testbed

Barium ions have many interesting features suitable for scalable quantum information processing (QIP), such as metastable states with long lifetimes, enabling the manipulation of beyond-two-level systems, or qudits. Further, visible-wavelength transitions between Barium-ion energy levels enable programmable qubit/qudit manipulation using fiber-based optical modulators. Here, we discuss a QIP apparatus engineered for 16 individually programmable Barium ions. The system features a room-temperature vacuum chamber with pressure < 4e-11 mbar and high optical access from three directions for optical control and measurement of qubits/qudits. A laser-written waveguide, together with fiber-based acousto-optic modulators, enables precise, programmable control of the intensity, frequency, and phase of laser beams at each ion. These capabilities will enable powerful QIP tasks, such as creating arbitrary interactions between qubits to simulate fully connected quantum spin systems.

Speaker: Mr Akbar J Jozani (University of Waterloo)

18:36 (POS-14) Separating nonlinear orders in pump-probe spectroscopy: the role of signal saturation

Optical spectroscopy is a powerful tool for characterizing excitonic systems, ranging from solid-state photovoltaic materials to molecular light-harvesting complexes. Beyond the linear light–matter interaction, techniques such as pump-probe spectroscopy provide access to the nonlinear optical response of these systems. In the perturbative regime, the dominant contribution is the third-order response, which encodes key information on single-exciton dynamics and relaxation pathways. However, in extended systems or at pump intensities exceeding the perturbative limit, many-body effects arising from exciton–exciton interactions (such as exciton–exciton annihilation) can emerge, contaminating the effective third-order signal and adding nuances to the optical properties of the material in operando conditions.
In this work, we present a recently introduced approach to disentangle these higher-order contributions and isolate specific nonlinear orders by analyzing signals acquired at different pump intensities [1,2]. A central step of this methodology is a quantitative understanding of the commonly observed experimental phenomenon of signal saturation with pump intensity, which is crucial for determining which pump intensities enable reliable order separation. Our analysis is based on an open-quantum-system modeling of exciton systems, combining coherent light–matter coupling with dissipative processes, and numerical simulations of pump–probe signals for prototypical molecular aggregates. We identify three distinct saturation regimes: (i) a coherent regime dominated by Rabi oscillations, (ii) an incoherent short-pulse regime in which signal saturation follows an exponential law, and (iii) an incoherent long-pulse regime characterized by a saturable absorption law.
[1] P. Malý, J. Lüttig, P. A. Rose, A. Turkin, C. Lambert, J. J. Krich, and T. Brixner, Separating Single- from Multi-Particle Dynamics in Nonlinear Spectroscopy, Nature 616, 280 (2023).
[2] J. J. Krich, L. Brenneis, P. A. Rose, K. Mayershofer, S. Büttner, J. Lüttig, P. Malý, and T. Brixner, Separating Orders of Response in Transient Absorption and Coherent Multidimensional Spectroscopy by Intensity Variation, J. Phys. Chem. Lett. 5897 (2025).

Speaker: Federico Gallina

18:38 (POS-87) Predicting an Ultrafast Dynamic Refractive Index Grating in an Epsilon-Near-Zero Conductive Oxide Thin Film Created by Femtosecond Laser Pulses

We simulate the ultrafast optical response of an Indium Tin Oxide (ITO) thin film near its Epsilon-Near-Zero (ENZ) wavelength when excited by two femtosecond laser pulses. A temperature dependent Drude model captures the nonlinear optical behavior arising from electron heating in the thin ITO film. Initial results show that ultrafast heating from two pulses induces a complex dynamic grating structure in the permittivity, revealing its potential for ultrafast optical modulation and control.

Speaker: Megan Pulford

CAP_Abstract_Megan Pulford.pdf

18:40 (POS-88) Quantum Dam Breaks in Expanding Bose–Einstein Condensates and the Emergence of Dispersive Waves, Double Rainbows, and Black-Hole Horizons

The sudden removal of trapping potentials in Bose-Einstein condensates (BECs) gives rise to superfluid versions of hydrodynamic $\textit{dam-breaking}$ problems, leading to rich quantum dispersive-wave dynamics. Denoting $\Delta n/n_{0}$ as the initial difference in density between the two reservoirs on either side of the dam relative to the lower reservoir density $n_{0}$, we numerically and analytically study the Gross-Pitaevskii equation to model both perturbative $\Delta n << n_{0}$ and non-perturbative $\Delta n\sim n_{0}$ quantum dam-breaking scenarios. We compare and contrast the different regimes by making connections to the mathematics of tidal bores, and reveal an underlying wave structure that mimics the physics of double rainbows. In the non-perturbative regime dam-breaking can be accompanied by the formation of dynamical sonic event horizons within rarefaction waves. We comment on the horizon dynamics and the possibility of detecting sonic Hawking radiation from such horizons.

Speaker: Liam Farrell (McMaster University)

18:42 (POS-85) Minimalistic framework for photonic unitary transformations

Can you character count: We study a minimalistic framework for the realization of photonic unitary transformations based on thin phase gratings interleaved with free-space propagation. The problem of realizing a unitary transformation on a given number of modes is expressed as a simple matrix model in transverse momentum space. This approach drastically reduces the number of system parameters compared to general multiplane light converters. We demonstrate the optimization of the system parameters to target $d\times d$ unitary transformations on the diffraction orders for $d=2$ to $d=5$. The effect of the number of diffraction-propagation layers on the performance of the optical system is examined, showing that it can achieve unitary transformations such as the discrete Fourier transform, (generalized) Pauli gates, and the $T$-gate with high accuracy given a sufficient number of layers.

Speaker: Manuel Ferrer Garcia (University of Ottawa)

18:44 (POS-84) Deterministic creation of blue-center single-photon emitters in carbon-doped h-BN

Single-photon emitters (SPEs) in hexagonal boron nitride (h-BN) offer a promising platform for quantum photonics, due to their robust room-temperature operation and compatibility with two-dimensional device architectures. Among them, blue-centers (B-centers) emitting near 436 nm have drawn special attention for their reproducibility and spectral purity [1]. Previous studies show how B-center activation can be achieved by electron-beam irradiation of carbon-related defects [2]; however, deterministic and reproducible SPE generation remains a critical challenge for device integration. In this study, we investigate the deterministic creation of B-centers in carbon-doped h-BN. This material is first characterized using conventional techniques to evaluate its doping (electron microscopy, luminescence). We then follow a statistical approach where we explore the effects of flake thickness, electron dose and dwell time. This process optimization method enables maximizing single-photon emitter creation probability while ensuring spatial control. The resulting emission properties are analyzed via extensive optical characterizations including time-resolved photoluminescence spectroscopy and second-order photon correlation measurement. Then, we delve into the electrical behavior of defect-assisted tunneling in Gr/C:hBN/Gr junctions, both with and without preliminary electron-beam irradiation. Electrical characterization is performed directly on the photoluminescence (PL) optical setup, enabling simultaneous probing of the light emission from these devices. By analogy to previous work on different emitters [3], we expect to demonstrate controlled electroluminescence from the blue emitters, suitable for integration into more complex optoelectronic architectures for future quantum technologies.
[1] C. Fournier et al., Nat. Commun. 12, 1–6 (2021)
[2] S. Nedić et al., Adv. Opt. Mater. 12, 2400908 (2024)
[3] M. Grzeszczyk et al., Light Sci. Appl. 13, 155 (2024)

Speaker: Mr Gaurang Gautam (Université de Sherbrooke)

18:46 (POS-3) Singular Value Gadgets for Embedding QUBOs on Rydberg Atom Hardware

Quadratic Unconstrained Binary Optimization problems (QUBOs) provide relevant testing grounds for quantum annealing platforms. However, mapping the logical QUBO onto a given quantum register is a known computational bottleneck. For Rydberg atom devices, the natural Unit-Disk topology arising from the Rydberg blockade mechanism limits the types of problems that can be naturally embedded on the hardware. Typical approaches to embedding include problem-based heuristics or general "gadget" reductions. The latter are graph-theoretic constructions that mediate interactions via ancillary qubits, typically incurring quadratic ancilla overhead. To address this scalability issue, we propose an approximate heuristic based on the spectral properties of the QUBO's adjacency matrix. By decomposing the QUBO into its singular modes, we use individual ancillas to mediate the structure of each relevant mode. We optimize for the position of the ancilla within a polygon defined by the logical qubits, while adjusting the local detuning of these ancillas to minimize the spectral distance between the QUBO and the physical Hamiltonian. Preliminary results suggest that this approach exhibits linear scaling with respect to the number of ancillary qubits. This work establishes a framework for developing further spectral embedding methods and provides an alternative for obtaining approximate solutions to larger problems.

Speaker: Edward García Hernández (University of Ottawa)

18:48 (POS-15) Ultrabroadband pulse compression for extreme bandwidth two-dimensional electronic spectroscopy

Two-dimensional electronic spectroscopy (2DES) has emerged as a fundamental technique to study ultrafast electronic structure, coherence, as well as energy and charge transfer in molecular systems. Correlating excitation and detection frequencies with femtosecond time resolution, 2DES is uniquely capable of providing comprehensive insight into electronic couplings and nonequilibrium dynamics. However, the performance of 2DES experiments is fundamentally limited by the spectral amplitude and phase properties of the ultrashort laser pulse sequence that creates the nonlinear signal. Pulse shaping is becoming an increasingly important topic as 2DES continues to push towards broader bandwidths and higher temporal resolution.

Ultrafast pulse shaping allows the manipulation of the spectral amplitude and phase of ultrashort laser pulses. In combination with pulse shaping, Multiphoton Intrapulse Interference Phase Scan (MIIPS) provides a powerful, adaptive approach to characterization and compensation of higher-order spectral phase distortions. Unlike purely diagnostic techniques, MIIPS enables iterative dispersion correction directly at the sample plane to ensure near–transform-limited pulses across the full laser bandwidth. This is particularly important when using broadband femtosecond light sources, where residual dispersion and phase distortions can significantly degrade temporal resolution and signal fidelity. We present our work employing a 4-f pulse-shaper in combination with MIIPS to optimize various broadband continuum sources for 2DES experiments.

Speaker: Jacob Bromberg (Department of Physics, University of Ottawa)

Ultrabroadband pulse compression for extreme bandwidth two-dimensional electronic spectroscopy.pdf

18:50 (POS-12) Individual Qubit Manipulation Using Dual Acousto-Optic Deflectors in a Trapped Ion Quantum Processor

In a quantum processor, quantum degrees of freedom such as the internal states of trapped atomic ions form a quantum bit of information, or qubit, and can be manipulated by laser beams. To improve the scalability of trapped-ion quantum computing, as well as to implement a broader range of algorithms, individual qubit state manipulation is a necessity. For high fidelity quantum gates, some of the requirements are minimal relative intensity crosstalk on neighbouring ions, a fast switching time (microseconds or better), and high programmability of target addressing, especially when ion spacings are non-uniform. In this talk I will present our recent progress in realizing a large-scale (>30 ions) quantum processor with low crosstalk individual qubit manipulation using a dual acousto-optic deflector (AOD) system. The coherent Raman addressing delivery is enabled by mapping frequencies of the AODs to positions along the ion chain, carefully calibrated by optimizing the AOD output in an intermediate image plane before relaying it to the ions. One of the challenges of this system is mapping both AODs to each ion position with the exact same frequency, so as to not introduce any unwanted detunings. However, these have been mitigated through careful optics simulation and reiterative testing. We will also discuss the implications on the fidelity of quantum gates due to tightly focused laser beams, comparable in size to the extent of the ion's motional spread in space, and a novel mitigation strategy. Our dual AOD system allows for fast, programmable single- and two-qubit quantum gates for a wide range of quantum algorithms -- both digital and analog.

Speaker: Sakshee Patil

18:52 (POS-4) Voltage-Driven Electro-Spray and Optoelectronic Evaluation of Gadolinium-Doped Zirconium Sulphide Thin Films for Enhanced Optoelectronic Applications

Samuel O. Shaka, Godfrey E. Akpojotor, Merrious O. Ofomola, Cletus Olisenekwu.

The zirconium sulphide (ZrS) metal has long been considered the most attractive material with fascinating physical, chemical, and optoelectronic properties. In this study, Gadolinium (Gd)-doped zirconium sulphide (ZrS/Gd) thin films were successfully deposited on fluorine-doped tin oxide (FTO) substrates using an electro-spray deposition technique at varying deposition voltages of 10.5 V, 11.0 V, and 11.5 V, aimed at optimizing their structural, optical, and electrical properties for photonic and optoelectronic applications. Comprehensive characterization of the films included structural, optical, electrical, and morphological analyses. X-ray Diffraction (XRD) was used to determine crystal structure and crystallite size, while Scanning Electron Microscopy (SEM) and Energy-Dispersive X-ray (EDX) verified surface morphology and elemental composition. Optical properties were obtained using a UV-Visible spectrophotometer, and electrical conductivity was measured with a four-point probe system. The result showed that UV–Vis spectroscopy enhanced absorbance in the UV region (300–400 nm), with 0.75 a.u absorbance at 11.5 V, while transmittance peaked at ~85% for the 11.5 V sample in the visible range. The calculated optical bandgap values decreased from 3.62 eV at 11.5 V to 3.21 eV at 10.5 V, indicating improved photon absorption with increased voltage. Optical conductivity reached a maximum of 0.73 S/m at 11.5 V, and refractive index peaked at 3.0 around 3.4 eV photon energy. Electrical analysis showed enhanced conductivity, increasing from 1.65 S/m in the undoped ZrS to 1.89 S/m at 11.5 V, while resistivity dropped from 0.61 Ω·m to 0.53 Ω·m. XRD analysis confirmed improved crystallinity and reduced dislocation density at higher voltages, with crystallite size ranging from 178 nm to 200 nm. SEM micrographs revealed uniform film deposition and nanoparticle agglomeration with no pinholes. These findings show that Gd doping and voltage-controlled deposition significantly enhance the optoelectronic properties of ZrS thin films, making them promising candidates for optoelectronics and photonics devices.

Speaker: Dr Samuel Oghenemega Shaka (Delta State University, Abraka, Nigeria)

CAP ABSTRACT.docx

18:54 (POS-9) Nanoscale Stress and Magnetic Field Sensing with a Single NV Center in Bulk Diamond utilizing Inverse-Designed Photonic Structures

We employ an isolated nitrogen–vacancy (NV) center as a quantum sensor to probe localized stress in a bulk diamond crystal and to measure magnetic fields, enabled by a monolithic inverse-designed photonic structure. This design allows efficient optical excitation of individual NV centers in a bulk sample and significantly enhances photon collection by engineering interference of the emitted light at the diamond–air interface. The resulting increase in collection efficiency improves the ODMR signal contrast and sensing sensitivity, while enabling reliable optical readout of single NV centers in bulk diamond. By integrating inverse-designed with quantum-defect-based sensing in bulk diamond, our approach provides a scalable platform for high-sensitivity, nanoscale quantum sensing, with potential applications in geosciences, biomedicine, and advanced materials characterization.

Speaker: Pratik Adhikary (University of Waterloo)

18:56 (POS-86) Nanostructured Media for Concurrent Generation and Control of XUV High Harmonics

High-harmonic generation (HHG) in nanostructured media offers a pathway toward compact, ultrafast coherent light sources with intrinsic control over spatial phase and amplitude. In this work, we investigate the generation and manipulation of the 7th harmonic (114 nm) from an 800 nm driving field in engineered nanostructured platforms, with the goal of shaping extreme-ultraviolet (XUV) radiation directly at the point of emission for focusing or steering. Our approach combines large-scale finite-difference time-domain (FDTD) simulations with an estimative nonlinear generation model to capture the essential physics of harmonic emission in complex geometries while maintaining computational tractability. We explore how nanoscale structuring influences local field distributions and harmonic yield, and how these effects can be leveraged for wavefront engineering of the generated XUV light.
In particular, we demonstrate focusing through stochastic lens concepts and beam redirection via engineered phase gradients that exploit waveguiding effects at the harmonic wavelength. The nanostructures simultaneously act as nonlinear sources and functional XUV optical elements, enabling control of propagation direction and spatial profiles without external optics. This work advances the understanding of HHG in structured media and highlights the potential of integrated nanophotonic platforms for XUV beam shaping.

Speaker: Jesse Thompson (University of Ottawa)

18:00 → 19:30 DAPI Poster Session & Student Poster Competition | Session d'affiches DPAI et concours d'affiches étudiantes

18:00 (POS-16) Characterization of Polarization Mode Dispersion in High-Speed Optical Fibers: Effects of Differential Group Delay and Environmental Factors in Abuja, Nigeria.

The rising internet use, digital transformation, and expanding telecom networks have increased demand for high-speed data transmission. However, Polarization Mode Dispersion (PMD) remains a major challenge, degrading signal quality and limiting data rates in optical fiber systems. This study investigates the impact of PMD on high-speed single-mode optical fiber systems by analyzing Differential Group Delay (DGD) and varying environmental conditions in selected areas of Abuja, Nigeria. Using two modulation formats; Non-Return-to-Zero (NRZ) and Quadrature Amplitude Modulation (QAM), the research examines how PMD-induced DGD affects key signal performance metrics, including Bit Error Rate (BER), jitter, Signal-to-Noise Ratio (SNR), and output optical power across fiber lengths ranging from 1 km to 40km. The experimental approach employed a time-domain method for direct DGD characterization using a test-bed consisting of a PMD emulator, Bit Error Rate Tester (BERT), polarization controller, optical power meter, and environmental sensors for temperature and humidity monitoring. All measurements were conducted at data rates between 15 Gbps and 240 Gbps and at central wavelengths of 1350 nm and 1450 nm.
Results indicate that in NRZ systems, DGD increases from 0.266 ps at 1 km to 4.543 ps at 40.56 km, with jitter rising from 4.12 ps to 31.20 ps and SNR decreasing from 34.2 dB to 52.9 dB, depending on environmental variations. In QAM systems, DGD rises from 0.325 ps to 4.54 ps, with jitter increasing from 3.85 ps to 33.20 ps. Humidity changes from 53.1% to 59.5% caused DGD increases of up to 2.94 ps (NRZ) and 1.45 ps (QAM), while temperature variations from 28.34°C to 29.90°C produced further fluctuations. BER values remained within 1.12×10⁻⁷ to 1.34×10⁻⁷, reflecting DGD’s influence on symbol detection accuracy. Overall, NRZ exhibits greater sensitivity to PMD-induced DGD under varying environmental conditions, while QAM shows slightly higher jitter at longer fiber lengths. These results highlight the need to account for both modulation format and environmental factors when designing resilient optical communication networks in Abuja and similar sub-Saharan regions.

Speakers: Dr Samuel Oghenemega Shaka (Delta State University), Ms precious Okoro (Federal University of Petroleum Resources, Effurun)

Characterization of Polarization Mode Dispersion in High-Speed Optical Fibers Effects of Differential Group Delay and Environmental Factors in Abuja, Nigeria..docx

18:02 (WITHDRAWN) (POS-17) Competing Contributions to the Catalytic Activity of Barium Titanate

The growing demand for environmentally friendly solutions to combat industrial pollutants has led to the exploration of nano-piezomaterials for water purification. This study reveals that piezoelectric effects contribute significantly, constituting around 90% of the catalytic response in BaTiO3 50nm compared to non-piezoelectric BaTiO3 10nm.

Speaker: Akram Asadi (Institut National de la Recherche Scientifique (INRS), Centre Énergie Matériaux Télécommunications (EMT), Québec, Canada)

Abstract CAP.pdf

18:04 (POS-18) Multi-Channel Multi-Template Event Reconstruction in SuperCDMS

The Super Cryogenic Dark Matter Search (SuperCDMS) SNOLAB is a direct detection dark matter (DM) experiment located 2 $\mathrm{km}$ underground at the SNOLAB facility near Sudbury, Canada. The experiment consists of 24 cylindrical kilogram-scale Germanium and Silicon detectors with Transition Edge Sensors (TESs) masks instrumented on the top and bottom surface. The unique mix of target substrates and detector technologies will allow SuperCDMS to probe the Weakly Interacting Massive Particle (WIMP) nuclear recoil DM parameter space with world-leading sensitivity in the mass range from 0.5 to 5 $\mathrm{GeV/c^2}$. SuperCDMS is currently in the commissioning phase and the first science run is expected to begin by mid-2026. From October 2023 to March 2024, the detectors in one of the four detector towers were characterized at the Cryogenic Underground TEst facility (CUTE), which is also located at SNOLAB. The DM sensitivity of the experiment depends on the position and energy resolution of the detectors. Therefore, correlated noise and pulse shape variations must be properly accounted for during the data processing. The SuperCDMS collaboration developed its own event reconstruction algorithm, $\mathrm{NxM}$, that simultaneously fits $\mathrm{N}$ detector channels with $\mathrm{M}$ pulse templates and is mathematically formulated to treat these effects. These improvements were tested on the data collected during CUTE tower test. This poster will introduce the algorithm, and show the results of its application to the data obtained at the CUTE facility.

Speaker: Antoine Rehberg

18:06 (POS-19) Development of the GeV Cube high-energy electron detector

The GeV Cube detector (GCD) is being designed as a new diagnostic for high-energy particle detection from short-pulse, high-powered laser sources [1]. In particular, the GCD will be employed to study the Ponderomotive acceleration of electrons from petawatt-class laser systems [2].

The GCD is designed to detect and identify single electrons with energies in the range of 50 MeV to 1 GeV. It is comprised of three layers of 4x4 grids of optically isolated Bismuth Germanate (BGO) scintillator crystals affixed to a 4x4 array Silicon Photomultiplier (SiPM) detector [3]. Incoming electrons deposit energy in the scintillator crystals in the three layers, forming a track of the electron through the detector. Surrounding the path of the primary particle there is a plume of secondary scattered particles. Analysis of the energy deposited per layer along the primary particle track and the energy deposited per layer from the secondary particles in the surrounding pixels allows for the clear identification that a single high energy electron has been detected and an evaluation of its energy.

Initial characterization of the GCD is carried out by detection of cosmic rays hitting the detector. Incident muons with average energies of 4 GeV [4] transit the detector similarly to high energy electrons. The gain on the SiPMs is reduced to give similar output signals per pixel as would be obtained with electrons. Geant4 simulations are employed to model the detector response to both electrons and muons. The details of the detector design and measured results will be presented.

[1] M. C. Downer et al., “Diagnostics for plasma-based electron accelerators,” Rev. Mod. Phys., vol. 90, no. 3, Art. no. 035002, 2018, doi: 10.1103/RevModPhys.90.035002.
[2] A. Longman et al., “Toward direct spatial and intensity characterization of ultra-high-intensity laser pulses using ponderomotive scattering of free electrons,” Phys. Plasmas, vol. 30, no. 8, 082110, 2023, doi: 10.1063/5.0160195.
[3] Hamamatsu Photonics K.K., MPPC array S13361-3050AE-04, 2024.
[4] J. L. Autran et al., “Characterization of atmospheric muons at sea level using a cosmic ray telescope,” Nucl. Instrum. Methods Phys. Res. A, vol. 903, pp. 77–84, 2018, doi: 10.1016/j.nima.2018.06.038.

Speaker: Caleb Guthrie

18:08 (POS-20) Modeling of digitally photocorroding GaAs/Al0.35Ga0.65As nanoheterostructures

Quantum Semiconductors and Photon-based BioNanotechnology Group, Laboratoire Nanotechnologies et Nanosystèmes (LN2) - CNRS IRL-3463, Interdisciplinary Institute for Technological Innovation (3IT), Department of Electrical and Computer Engineering, Université de Sherbrooke, 3000, boul. de l’Université, Sherbrooke, Québec J1K 0A5, Canada

Digital photocorrosion (DIP) of a semiconductor is a two-step cyclic process consisting of an irradiation phase followed by a dark phase.[1] DIP applied to GaAs/Al$_{0.35}$Ga$_{0.65}$As heterostructures has been investigated for the detection of electrically charged biomolecules, such as bacteria and spores immobilized on the surface of such devices. Promising biosensing performances have been reported, particularly for DIP on a single pair of GaAs/AlGaAs nanolayers.[2]
Although DIP processed GaAs/AlGaAs surfaces offer favorable conditions for the formation of high quality alkanethiol self-assembled monolayers [3], extending DIP to multiple pairs of GaAs/AlGaAs nanolayers for repeated biosensing has proven challenging. Progressive accumulation of Ga- and Al-byproducts on the surface of biochips processed in phosphate buffered saline, and the relatively complicated structure of photoluminescence (PL) intensity maxima (PL$_{\text{MAX}}$) revealed during photocorrosion of GaAs/AlGaAs nanolayers were identified as the potential key factors limiting the successful implementation of this technology for quasi-continuous biosensing.
To shed the light on the dependence of PL intensity emission on the absorption depth of PL exciting photons, we carried out numerical simulation of the DIP process for GaAs nanolayers separated by different thickness of AlGaAs nanolayers. The modeling indicated that complex shape of PL$_{\text{MAX}}$ for a structure consisting of a GaAs (6 nm)/AlGaAs (10 nm) multilayer stack originates from a weak PL emission by deeply located GaAs nanolayers in the microstructure. This has been verified by the DIP experiments involving GaAs/AlGaAs nanoheterostructures with the thickness of AlGaAs layer increased to 20 nm. The results suggest a possibility of designing nanoheterostructures with stacks of GaAs/AlGaAs nanolayers exhibiting PL emission exclusively from individual GaAs nanolayer during the DIP process. In addition to the increased thickness of the PL screening AlGaAs nanolayer, this effect can be tuned by selective doping of the investigated nanoheterostructures. Nanoscale resolution of the DIP process of GaAs/AlGaAs nanoheterostructures is of the potential interest for the fabrication of advanced devices at attractive cost.

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[1] M.R. Aziziyan et al., ACS Applied Materials & Interfaces, 11 (2019) 17968-17978.
[2] E. Nazemi et al., Biosensors and Bioelectronics, 93 (2017) 234-240.
[3] R. St-Onge et al., Applied Physics Letters, 118 (2021) 222102.

Speaker: René St-Onge

18:10 (POS-21) Real-time Machime Learning for ARGO Data Acquisition System

Physicists continue to invest significant effort in the search for dark matter using increasingly large and sensitive detectors. ARGO is a next generation liquid argon (LAr) experiment designed to achieve enhanced sensitivity through advanced photodetection and large-scale instrumentation. The detector design under study employs Single Photon Avalanche Diodes (SPADs) with digital readout over a total instrumented surface of approximately 200 m², requiring the simultaneous handling of millions of data channels. This scale presents significant challenges for data acquisition systems in terms of power consumption, cabling complexity, and data storage, motivating the use of real-time data processing and reduction near the detector.

In this work, we investigate the use of real-time machine-learning (ML) techniques as part of the ARGO data acquisition chain. One convolutional neural network model (CNN) classifies particle interactions, while another reconstructs event position. Performance is evaluated using particle identification accuracy and position reconstruction error distributions. Ongoing work explores integrating both tasks into a unified CNN model to improve performance and reduce edge computing requirements.

Speaker: Sajedeh Esmaeilzadeh

18:12 (POS-22) Optimising a non-invasive viscosity measurement with portable NMR

There is an acute need for non-invasive measurements of viscosity in bioactive solutions (formulations). Transition times from a stationary sample to a solid body rotation carry information on viscosity. We demonstrate a portable NMR measurement to detect transition times as a proof-of-principle, with further improvements in the works.

Speaker: Vincent Belzile (University of New Brunswick)

2026 CAP Congress Abstract - Vincent Belzile.docx

2026 CAP Congress Abstract - Vincent Belzile.pdf

18:14 (POS-23) DarkSide-20k Inner Detector Design and Construction

Weakly Interacting Massive Particles (WIMPs) are among the most compelling candidates for particle dark matter, and their direct detection remains one of the central goals of astroparticle physics. Dual-phase liquid argon time projection chambers have emerged as one of the leading technologies for probing light galactic dark matter, particularly for masses below $10~\mathrm{GeV}/c^{2}$, as demonstrated by the DarkSide-50 experiment using 50~kg of underground liquid argon. Motivated by the excellent background rejection and sensitivity achieved by DS-50, scaling this technology to multi-tonne target masses is essential to reach background-free operation and extend direct detection searches toward the neutrino floor.

DarkSide-20k is a next-generation cryogenic dark matter experiment hosted at the Laboratori Nazionali del Gran Sasso, designed to achieve instrumental background-free sensitivity in the search for WIMP interactions. The experiment employs a 50-tonne dual-phase liquid argon time projection chamber as its inner detector, using underground argon as the active target to suppress intrinsic radioactive backgrounds. The inner detector is based on an ultra-pure octagonal PMMA vessel, with a field cage implemented using a commercial conductive polymer coating (Clevios) with better than $100~\mu$m uniformity, and inner surfaces lined with TPB-coated enhanced specular reflector foils to efficiently shift argon scintillation light to 420~nm for optical detection. Dual top/bottom planes house $\sim$200k cryogenic FBK NUV-HD SiPMs organized in 528 photodetector modules (PDMs) with $>40\%$ photon detection efficiency.

This presentation focuses on the design of the DarkSide-20k inner detector, with particular emphasis on the mechanical implementation of the PMMA vessel, field cage integration, and optical system layout. The architecture of the silicon photomultiplier--based photon detection system will be discussed, including the organization of SiPM arrays into photodetector modules and their role in achieving high photon detection efficiency and improved pulse-shape discrimination. Key design considerations relevant to radiopurity, and detector performance will be highlighted.

Speaker: Mr Shashank Mishra (Queen's University)

18:16 (POS-24) Measurement of sidewall roughness using AFM

Due to the ever-larger number of ever-smaller devices, the morphological perfection of the devices' surfaces, and the related characterization techniques, have become increasingly important for micro-electromechanical systems, nanoelectronics, opto-electronic, and even more critically, photonic devices, due to the significant effects surface topography has on the device performance. A well-established technique for three-dimensional surface characterization is atomic force microscopy (AFM), capable of high resolution and high accuracy. However, the typical AFM measurement geometry is designed to characterize surfaces parallel to the main stage surface (generally close to the direction perpendicular to the AFM tip axis).
Here we report on the adaptation of a commercial AFM system for sidewall imaging and characterization, therefore for scanning, imaging and characterization surfaces whose orientation are far away from the horizontal plane, ultimately that are perpendicular to the main stage surface. We present sidewall roughness measurements obtained on several model samples, particularly on optical waveguide structures, that are be used in photonic devices, for which surface roughness is crucial.

Speaker: Catalin Harnagea

18:18 (POS-25) SiPM Characterization for Improved External Cross-Talk Modeling in DarkSide-20k

Silicon photomultipliers (SiPMs) are increasingly adopted as the photosensors of choice in next-generation dark matter experiments due to their high photodetection efficiency and low operating voltage. In large detector arrays, however, SiPM performance can be significantly degraded by correlated noise processes, particularly external cross-talk, in which photons emitted from the triggering of one sensor induce spurious signals in neighboring devices. Understanding and mitigating this effect is critical for achieving the sensitivity required for rare-event dark matter searches such as DarkSide-20k.

I present a comprehensive experimental characterization of DarkSide-20k SiPMs performed under experiment-like cryogenic and vacuum conditions. Measurements were carried out using the Vacuum Emission Reflection and Absorption (VERA) setup at TRIUMF to determine key parameters involved in quantifying correlated noise, including dark count rate (DCR), breakdown voltage, and angular photodetection efficiency.

A particular focus of this work is the measurement of the angular dependence of SiPM photodetection efficiency, which directly influences the probability and spatial distribution of external cross-talk in densely packed SiPM arrays. The measured angular response provides new data that will be used in Monte Carlo simulations of correlated noise in DarkSide-20k. These results enable more realistic modeling of external cross-talk and allow quantitative assessment of its impact on detector performance and overall experimental sensitivity as a function of detector geometry and operating parameters.

The characterization data presented here represent an important step toward improving the accuracy of SiPM noise modeling in large noble-liquid detectors. Incorporating these measurements into simulation frameworks will aid in the optimization of detector design and experimental geometry, contributing to enhanced sensitivity in current and future SiPM-based dark matter searches.

Speaker: Lucas Backes (TRIUMF)

18:20 (POS-26) Retrofittable Absolute Positioning Motorized Optics Mounts

Experimental apparatuses in atomic, molecular, and optical (AMO) physics require precise control of the free-space alignment of optical components. Such control is often achieved by actuating micrometer screws on various optical mounts. Fluctuations in environmental factors, such as temperature and humidity, necessitate re-optimization of the alignment.

Motorized kinematic mounts enable control over the alignment of the optical setup by actuating the micrometer screws with electromechanical devices. While these devices are commercially available, they can be cost-prohibitive, bulky, and difficult to retrofit into an existing experiment. Previous instances of home-built motorized screw actuators were designed with open-loop control, reducing their reliability for long-term deployment.

In this work, we demonstrate that a 3-D printed modular attachment can be integrated with a Thorlabs KM100 mirror mount to enable angular control. We use a rotary encoder attached to the mirror mount actuator screw and mechanically decoupled from any moving elements to demonstrate absolute tip and tilt positioning of the mirror with high resolution and repeatability. The attachment we develop is compact and can be added to an existing optical setup without significantly degrading its alignment. The electronics system necessary for controlling the motorized attachment is based on off-the-shelf components designed for 3-D printer hardware control.

Speaker: Andrew Lehmann (University of Toronto)

18:00 → 19:30 DASP Poster Session | Session d'affiches DPAE

18:00 (POS-27) Search for ultra-high energy cosmic rays with the fluorescence telescope onboard the ISS

The air fluorescence detection technique is widely used in ultra-high energy cosmic ray experiments to reconstruct the shower cascade profile and determine both the energy and arrival direction of the primary particle. Using the CORSIKA air shower simulation code, the evolution of extensive air showers induced by primary particles with energies reaching up to 100 EeV is modeled, considering various combinations of high- and low-energy hadronic interaction models. The study examines the sensitivity of key parameters, including the longitudinal particle distribution, the depth of the shower maximum, and the energy deposited in the atmosphere, under different simulation conditions. The implications of these findings for UHECR experiments are explored, with a particular focus on a space-based fluorescence telescope aboard the International Space Station. Additionally, the number of fluorescence photons and the timing profile of their arrival at the detector pupil are computed for typical extreme-energy events.

Speaker: Prof. Taoufik Djemil (Université Badji Mokhtar)

18:02 (POS-28) The Metrology of Meteorology: how measurement science enables climate science and action

When I speak of Metrology to people, they often think I’m talking about Meteorology …until they get very confused. That’s because Metrology – the science of measurement – despite playing a fundamental role in our everyday lives, is mostly working behind the scenes. Metrology is best known in industrial contexts, where interoperability and matching parts is paramount to doing business. Metrology is based on two main concepts to ensure measurement comparability and reliability: traceability and uncertainty.

Historically, Atmospheric Science, Oceanography and Ecology, to name only a few, have not spent much time thinking about Metrology. After all, much has been achieved without it! Nowadays, however, climate models are growing more detailed, and climate action requires reliable monitoring. With carbon emissions and capture becoming transactional (think carbon credits), measurement standards with known uncertainty and traceability to the International System of Units are increasingly important.

In 2023, the Bureau International des Poids et Mesures (BIPM) and the World Meteorological Organization (WMO) released a report entitled Metrology for Climate Action, kickstarting a joint effort to improve the traceability and uncertainty of all climate systems measurements. These improvements will support the physical science basis of climate science through increasing model accuracy, facilitating collaboration around the world through better measurement comparability, stability, and continuity, even across different measurement methods. They will also strengthen climate action by increasing confidence in carbon credit valuations, improving policy monitoring, and reducing greenwashing.

But applying metrology principles to complex climate system measurements is no easy task. It requires for the metrology experts and climate experts to discuss to better understand each other, thinking outside of the box, and a lot of creativity. In this presentation, some of these complex questions and creative solutions will be explored, while highlighting the value of bringing metrology and meteorology together.

Speaker: Stéphanie Gagné (National Research Council Canada)

18:04 (POS-29) Another look at the equation of time

Historically the equation of time ET, giving the difference between the solar mean time and true solar time, has been useful to improve estimates of latitudes. Today with GPS accurate positioning systems, and with accurate atomic clocks, the equation of time is seldom of practical use. It is nonetheless of interest from a basic physics standpoint because of its connection with Earth orbital properties responsible for the difference between the mean solar time, and actual solar time. This presentation will explain the equation of time first using a phenomenological approach, and then, more rigorously mathematically.

Speaker: Prof. Richard Marchand

18:00 → 19:30 DCMMP Poster Session & Student Poster Competition | Session d'affiches DPMCM et concours d'affiches étudiantes

18:00 (POS-34) Towards Fabrication of Atomic-Scale Circuitry: Cross-Row Quantum Wires on Hydrogen-Terminated Silicon Surface

As Moore’s law approaches its physical limits, innovations in materials and structures are essential to advance CMOS technologies. The hydrogen-terminated silicon (100) surface, H–Si(100)-2×1, provides a promising platform for atomic-scale electronics, where individual hydrogen atoms can be selectively removed using scanning tunneling microscopy (STM) to create silicon dangling bonds (DBs). These DBs can be patterned into atomic-scale conductive wires that form key elements of DB-based nanoelectronic circuitry. There are two potential directions for DB wires on the H-Si(100)-2⨉1 surface. While DB wires aligned along the 2⨉1 dimer rows (dimer wires) are well established in the past literatures, DB wires oriented perpendicular to the dimer rows (cross-row wires) have been less explored. Here, we investigate these cross-row wires by performing differential conduction (dI/dV) measurements under STM to probe their local density of states (LDOS). Our results show electrical coupling across dimer rows, indicating the feasibility of current transmission in the cross-row direction. Furthermore, cross-row wires show discrete electronic states, which reveals their quantum dot nature similar to dimer wires. This study enriches the toolbox for DB-based atomic circuitry design, enabling bidirectional current transmission combined with previous dimer wire studies.

Speaker: Mr Xinyu Guo (Department of Physics, University of Alberta)

18:15 (POS-31) Efficient computational verification of the Kibble–Zurek scaling law in the nonequilibrium 2d Ising Model.

The Kibble mechanism plays a prominent role in the theory of the early Universe, as an explanation of the possible formation of cosmic strings. Zurek suggested the analogous effect in liquid helium under rapid cooling, and he conjectured, together with del Campo and Kibble, a scaling-law for the relation between the density of remnant topological defects and the cooling rate, when a system passes through its critical temperature. Such scaling-laws has been observed in many condensed matter experiments.
We examine the validity of Zurek’s scaling law within an alternative framework by numerically investigating the Ising model in one, two, and three dimensions under rapid cooling protocols. Our analysis focuses on the evolution of domain walls throughout the quench process down to zero temperature. For several Markov chain Monte Carlo algorithms, we consistently observe scaling-laws like Zurek’s conjecture, in all dimensions under consideration, which shows that this feature holds more generally than expected.
It is highly remarkable that even the exponents of these scaling-laws are consistent for different algorithms, which hints at a physical meaning regarding the relaxation time of systems in the Ising universality class. This work presents an improved computation-time study of simulations for the 2d Ising model out of equilibrium, examining domain evolution dynamics during cooling processes for two Monte Carlo algorithms.

Speaker: Jose Armando Perez Loera

entrega_final.pdf

18:17 (POS-32) Formulation of bulk-boundary correspondence from zeroes of the sublattices.

It is often accepted that the Zak phase of one-dimensional topological insulators corresponds to the number of edge states. However, the Zak phase fails to predict edge states in some cases, and when it does its prediction depends on the choice of unit cell. We provide a derivation of bulk-boundary correspondence that successfully predicts the number of edge states in semi-infinite chains, topological and non-topological, using the zeroes of components of the analytically extended Bloch wavefunction. Furthermore, we interpret symmetry-protected topological edge states as exceptional points of the analytically extended Bloch Hamiltonian. The derived bulk-boundary correspondence closely resembles known results, but does not rely on involved mathematics, as is often the case with K-theory. Our expression explicitly depends on the boundary, it thus does not fix the issue of the Zak phase depending on the choice of unit cell. Finally, our Bulk-Boundary correspondence can be applied for computing edge and corner states in two-dimensional topological insulators.

Speaker: Ilya Iakoub (Université de Montréal)

18:19 (POS-33) Role of electron-electron interaction and electric field in graphene quantum dots

Triangular graphene quantum dots (TGQD) with zig-zag edges are synthetic structures in which the presence of a zero-energy shell at the Fermi level generates electronic correlations and entanglement. We present here the result of Hubbard model calculations in TGQD and show the spin-polarized energy spectrum for spin up and down. We also calculate the density matrix elements for bilayer bulk graphene analytically and numerically from the tight-binding (TB) Hamiltonian. Lastly, we calculate Coulomb matrix elements for a TGQD with 13 atoms.

Speaker: Sina Abedi (University of Ottawa)

18:21 (POS-35) Temperature-dependent phonon and electronic Raman response in double perovskite Sr2MgReO6

The family of A2BB’O6 5d1 double perovskite materials has recently attracted attention due to their potential for multipolar ordering and the interplay of spin, orbital, lattice, and electronic degrees of freedom. In particular, the A2MgReO6 (A= Ba, Sr, Ca) family has recently been demonstrated to have a spin-orbit-lattice entangled ground state [1], prompting deeper exploration of the phonons. We used the temperature-dependent Raman spectrum of tetragonal Sr2MgReO6 to investigate its phonon spectrum and potential interactions with magnetic and multipolar orders. We report several new features appearing below the Néel temperature which suggest more change in symmetry than just an antiferromagnetic phase transition, two soft modes that may indicate a high-temperature cubic phase, and a series of high-energy electronic excitations corresponding on the scale of the spin-orbit coupling.
[1] Frontini, Felix I., et al. Physical Review Letters 133.3 (2024): 036501.

Speaker: Isaac Hoffman

18:23 (POS-36) A Physical Model of Permafrost Sorted Stripe Formation in the Canadian High Arctic

Hillslopes in the Canadian High Arctic can express curious quasi-linear sorted stripe patterns, physically resembling rills but with no obvious evidence of active particle transport via sustained surface water flows following rainfall or snowmelt. This motivates several questions which at present are little explored. First, how do the physical characteristics of the pattern vary down the hillslope in response to changing hillslope geomorphology (e.g. slope, elevation, etc.)? Second, what mechanism(s) causes sorted stripe patterns to initiate and develop, and what are the roles of freeze-thaw, granular, and fluid-flow-driven processes? Several attempts have been made to model the formation of sorted stripe patterns using rules-based approaches, or analytical models derived from these rules; however, a comprehensive physical model of sorted stripe formation has yet to be developed, and we currently lack even a characterization of how the pattern is distributed across a hillslope.

Here, we present a characterization of the sorted stripe patterning found on a hillslope on Devon Island, Nunavut and examine topographic controls of hillslope track characteristics. By analyzing topographic lidar data, we find that there is not one preferred cross- or downslope spacing of the stripes; rather, the size and shape of stripes varies down the hillslope. This alludes to the idea that there are several processes at work to form hillslope sorted stripe patterns. We present a physical model of stripe formation involving initial fracturing of the hill due to thermal stresses, heaving from ice lens growth, and mobilization of stones due to the creation of critically-steep topographic gradients and ice needle formation. We motivate this model using the characterization of the sorted stripe pattern distribution, field observations, and an analysis of thermal and tensional stresses.

Speaker: Grace Johnson (Department of Physics, Simon Fraser University)

CAPabstract_2026.pdf

18:25 (POS-37) Frustrated magnetism in close-packed solids

A recent study in the context of elemental lithium and sodium has brought out a remarkable property of close-packed solids (CPSs). Under certain assumptions, the electronic band structure is identical for any CPS. This leads to a large degeneracy, with an infinite number of structural configurations for the ground state. Here, structural frustration is explored further in the context of close-packed magnets using the classical Heisenberg model. We prove all CPS magnets with first- and second-nearest neighbour couplings are equivalent, as determined from Luttinger-Tisza analysis. Furthermore, we demonstrate that degeneracy is lifted with the introduction of spin waves, and provide arguments for the states chosen by thermal fluctuations.

Speaker: Sam Studdy (Brock University)

18:27 (POS-38) Exploring signatures of non-covalent functionalization of graphene by infrared spectroscopy

Biosensing using graphene field-effect transistors (GFETs) is an emerging research area in which device reliability and performance critically depend on the functionalization of the graphene surface. Non-covalent grafting of molecular receptors via π–π stacking is widely employed to induce chemical specificity while preserving graphene’s electronic properties. However, the microscopic mechanisms governing these interactions and their impact on GFET response remain insufficiently understood.

In this work, we investigate the non-covalent functionalization of graphene using transmission infrared spectroscopy combined with electrical transport measurements through GFET transfer curves. Graphene transferred onto MgF₂ substrates is functionalized with 1-pyrenecarboxylic acid (1-PCA), a molecule composed of a pyrene base and a carboxylic acid head. Infrared spectra are acquired for pristine graphene, 1-PCA molecules,their combination in a single layer of molecules adsorbed on graphene, and multiple stacked layers, allowing us to track vibrational mode shifts associated with π–π interactions and intermolecular coupling. Our preliminary results show modifications of characteristic vibrational modes upon adsorption and stacking, indicating changes in both the molecule-molecule and the graphene–molecule interaction strength. In parallel, gold electrodes deposited on the substrate enable liquid-gated GFET measurements. Transfer curves are recorded after successive 1-PCA incubation steps, revealing shifts in charge neutrality point and carrier transport properties.

The combined spectroscopic and electrical analysis offers insights in how molecular organization and stacking influence GFET response. These results contribute to a deeper understanding of graphene surface functionalization and offer guidelines for optimizing non-covalent grafting strategies in GFET-based biosensors.

Speaker: Paul Vézina (Université de Montréal)

Abstract CAP 2026 Paul Vézina.pdf

18:29 (POS-39) Rheology of Charge-Modified, Soft Phytoglycogen Nanoparticles

Phytoglycogen (PG) is a glucose-based polysaccharide produced in the form of compact, monodisperse, electrically neutral nanoparticles in sweet corn kernels. Its highly branched, dendritic architecture leads to interesting and useful properties that make PG ideal as a unique additive in personal care, nutrition, and biomedical formulations. To tailor PG to specific applications, we can modify its properties. In the present study, we covalently attach cationic glycidyltrimethylammonium chloride (GTAC) groups to the PG particles, and we use rheology to measure the mechanical response of aqueous dispersions of GTAC-PG to steady and oscillatory shear. We measured dramatic increases in the relative zero-shear viscosity $𝜂_\text{r}$ with increasing effective volume fraction $𝜙_{\text{eff}}$, which is a characteristic feature of a soft colloidal glass. At low salt concentrations $𝐶_\text{NaCl}$, the divergence in $𝜂_\text{r}$ occurred at much smaller values of $𝜙_{\text{eff}}$ than for native PG due to electroviscous effects. With increasing $𝐶_\text{NaCl}$, the divergence in $𝜂_\text{r}$ approached that for native PG due to screening of the electrostatic interaction. By accounting for the electrostatic interaction by scaling the particle radius by the Debye screening length, the divergence in $𝜂_\text{r}$ revealed a significant increase in the particle stiffness with $𝐶_\text{NaCl}$, corresponding to an increase in the fragility of the glassy GTAC-PG dispersions. The oscillatory shear measurements on concentrated dispersions revealed a transition from a glassy to a liquid-like state with increasing $𝐶_\text{NaCl}$. Our measurements demonstrate the complex, tunable nature of the mechanical properties of aqueous dispersions of soft, charged PG nanoparticles.

Speaker: Ricky Summerlin (University of Guelph)

18:31 (POS-40) Analysis of the Physical and Chemical Properties of Biochar: a Green Cement Additive

Biochar, a carbon-rich solid produced through the pyrolysis of biomass feedstocks, has demonstrated potential as a sustainable concrete additive. In addition to its sustainability benefits, biochar presents physical benefits in concrete as an inert filler material with a porous structure, high specific surface area (SSA), and surface functional groups: the result has demonstrated improvements to performance and durability. However, the relationships between biochar microstructure, water adsorption, superplasticizer interactions, and the impact of biochar incorporation on the rheology and flowability of cementitious systems remain poorly understood. Super-plasticizers such as poly carboxylate ether (PCE), used as additives, can reduce suspension viscosity. Relaxation and diffusion NMR are used to characterize water and PCE dynamics within biochar dispersions of 7 μm and 14μm particle sizes at varying concentrations. We examine the relative populations of free, surface, and pore-confined water through diffusion coefficient analysis. Proton NMR measurements will also investigate whether the PCE signal in biochar-water-PCE dispersions can reliably be resolved. Time-dependent changes in signal intensity, if observable, will provide insight into distribution changes of PCE between free and biochar-associated states. Further, the macroscopic properties of biochar-cement dispersion are being investigated using a combination of a rotational rheometer and mini-cone slump tests. A comparison of relative slump over at least three weeks and proton NMR measurements will be used to track any reduction in free PCE concentrations. A relationship between concrete flowability and relative biochar and PCE concentrations is expected to emerge.

Speaker: Kayleigh Hern (University of Guelph)

18:33 (POS-41) Transparent Conducting Films from Full-Length SWCNTs

Single-walled carbon nanotubes (SWCNTs) are one-dimensional nanomaterials with exceptional electrical, thermal, mechanical, and optical properties. Despite their great potential in diverse nanotechnology applications, as-synthesized SWCNTs are inherently bundled because of strong vdW interactions. Consequently, their highly regarded properties are greatly compromised. Many applications of SWCNTs, such as transparent conducting films, require the manipulation of liquid-phase dispersions with high weight fractions of individual nanotubes or small bundles. Attaining uniformly dispersed SWCNT network remains a substantial hurdle. Although chemical functionalization and ultrasonication can facilitate individualization, they often come at the expense of the structural integrity and intrinsic electronic properties of the processed SWCNTs. In this work, we present a novel charge mediated individualization and stabilization of SWCNTs in water using a secondary bile salt sodium deoxycholate (DOC) as a surfactant. First, a potassium salt of SWCNTs of the form KC25 was dissolved in dimethyl sulfoxide (DMSO) to generate an individualized, negatively charged nanotube (nanotubide) solution. This solution was then stabilized in an aqueous solution of DOC. This step enabled us to produce a concentrated, long-lived dispersion of full-length SWCNTs in water. Absorption spectroscopy confirms the individualization and non-functionalization as absorption bands corresponding to excitonic transitions associated with mirrored van Hove singularities. The resulting transparent conducting films fabricated using full-length SWCNTs are 1 order of magnitude more conductive than those from the ultrasonicated shortened SWCNTs at equal transmittance. The individualization of SWCNTs using reductive chemistry and subsequent stabilization in aqueous DOC solution demonstrates an effective processing strategy for producing highly purified full-length SWCNTs suitable for advanced electronic applications.

Speaker: Methembe Moyo (Concordia University)

Transparent Conducting Films from Full Length SWCNTs.docx

18:35 (POS-42) Neutron Scattering Facilities at the Canadian Neutron Beam Laboratory

The Canadian Neutron Beam Laboratory (CNBL) is a new core research facility based at the McMaster Nuclear Reactor, a 5 MW open-pool reactor located at McMaster University in Hamilton, Ontario. The CNBL is currently the only facility in the country which provides access to neutron scattering capabilities, offering unique opportunities for the experimental characterization of quantum materials, soft matter and biomaterials, energy materials, and structural engineering materials. At present, the CNBL is home to two neutron scattering instruments: the McMaster All-Purpose Diffractometer (MAD) and the McMaster Small Angle Neutron Scattering beamline (MacSANS). However, over the next 5 years, the facility will be expanding to a full suite of six instruments, including a new neutron powder diffractometer, neutron reflectometer, residual stress scanner, and flexible neutron imaging station. In this poster, we will discuss the current status of the CNBL, progress on the facility upgrade project, and several recent science highlights.

Speaker: Patrick Clancy

avatar.svg

18:37 (POS-43) Light-cones and State-space focusing in the Floquet TFIM

Periodically driven quantum spin chains provide a framework to study chaotic dynamics. We investigate this in the Floquet 1D transverse-field Ising model (Floquet TFIM) via numerical simulations, emphasizing space-time light-cone structure and wavefront interference, motivated by fronts noted in the quenched (non-kicked) TFIM. We introduce a periodic transverse-field kick to define a Floquet operator. We simulate stroboscopic dynamics from local initial states, tracking magnetization, connected correlators, and bipartite entanglement, along with spectral diagnostics of the Floquet unitary. We test when light-cone structure persists beyond integrable quenches, or is washed out by mixing, disorder, or finite size.

Speaker: Hung Nguyen (McMaster University)

18:39 (POS-30) Equation of State under External Stress from Crystals to Non-crystals

The rigorous Equation of State of any material under external isotropic pressure $P$

$ \hspace{2.5cm} P =\frac {1}{\beta} \frac {\partial \ln Z}{\partial V}, $

based on the system partition function $Z$, is taught in almost every related textbook.

The Equation of State of crystals under general external stress $\mathbf{S}$ was derived:

$ \hspace{2.5cm} \mathbf{S} \cdot \mathbf{\sigma}_{\mathbf{h}}=-\frac {1}{\beta} \frac {\partial \ln Z}{\partial \mathbf{h}} \ \ \ (\mathbf{h}=\mathbf{a}, \mathbf{b}, \mathbf{c}), $

with respect to the crystal period vectors $\mathbf{h}$, in our recent article:

$\hspace{.5cm}$
https://doi.org/10.1140/epjp/s13360-020-01010-6

which has been accessed about 21,000 times.

Here, we also derived the Equation of State of non-crystals under external stress and temperature and studied its relationship with the macroscopic mechanical equilibrium condition.

(The idea has been published in the preprints.org as the follows and attached here:
https://doi.org/10.20944/preprints202601.0293.v1 or
https://www.preprints.org/manuscript/202601.0293/v1}

Speaker: Gang Liu

2026_CAP (2).pdf

preprints202601.0293.v1 (1).pdf

18:00 → 19:30 DNP Poster Session & Student Poster Competition | Session d'affiches DPN et concours d'affiches étudiantes (0)

18:00 → 19:30 DPE Poster Session & Student Poster Competition | Session d'affiches DEP et concours d'affiches étudiantes

18:00 (POS-44) How to make your research group more inclusive for autistic trainees

One of the most important responsibilities of university faculty is mentoring the junior members of our research groups and creating an inclusive environment in which they can thrive. Since my autism diagnosis in 2022, colleagues have asked me how they can make their research groups more welcoming to autistic trainees. This short guide, based on conversations with autistic students and academics, intense reflection on my own lived experience, and a deep dive into the literature, provides five concrete steps toward this goal.

Speaker: Heather Logan (Carleton University)

CAP_aut_trainees_poster_2026.pdf

18:00 → 19:30 DPMB Poster Session & Student Poster Competition | Session d'affiches DPMB et concours d'affiches étudiantes

18:00 (POS-52) Probing the Translocation Dynamics of Linear Polysaccharide Polymers: Solid-State Nanopore Sensing of Heparin

Elucidating the complex roles of carbohydrates in health and disease requires the development of novel biophysical methods; however, single-molecule analysis of these polymers remains a formidable challenge due to their structural heterogeneity and rapid dynamics. While solid-state nanopores offer a platform for label-free single-molecule sensing, the characterization of short polysaccharide chains—such as the widely used anticoagulant heparin—is severely limited by their high-speed translocation. In this work, we investigate the capture kinetics and translocation dynamics of heparin through bare silicon nitride nanopores. We examine the pore-molecule interactions as a function of pH to map the conformational dynamics of the polyelectrolytes during driven translocation. We discuss the underlying physical forces driving these rapid events and propose practical nanoscale modifications to reduce translocation speed, paving the way for high-fidelity carbohydrate analysis.

Speaker: Kexin Zhao (Department of Physics, University of Ottawa)

18:15 (POS-45) Modeling Temperature- and Salt-Dependent Fold Switching in the Metamorphic Protein Lymphotactin

Proteins are often described by a single-funnel free-energy landscape leading to one native structure, yet metamorphic proteins reversibly interconvert between distinct folded states under physiological conditions. Lymphotactin (XCL1) is a striking example, exhibiting a chemokine-like monomeric fold and an alternative all-β dimeric fold whose equilibrium populations shift with temperature and salt concentration, implying an interplay between two native folds. Here, we developed a coarse-grained, dual-basin structure-based model to dissect how temperature, salt, and dimerization jointly control this fold switch. By tuning the relative strengths of monomer- and dimer-associated native contacts, we reproduce the qualitative experimental trend that the chemokine fold dominates at lower temperatures while the alternative dimer becomes increasingly populated near physiological temperatures, followed by unfolding at higher temperatures. To capture salt effects, we introduce an effective salt parameter that selectively rescales native contacts between charged residues, strengthening unlike-charge contacts and weakening like-charge contacts as screening is reduced; this produces a pronounced population shift toward the alternative fold and yields a temperature–salt phase diagram with a broad coexistence region where both folds are significantly populated. Analysis of charged-contact networks shows that the fold switch is characterized by a major redistribution of electrostatic contacts, including the formation of stabilizing unlike-charge interactions across the dimer interface. Finally, we extend the same framework to point mutations and reconstructed ancestral XCL1 variants, which have experimentally been shown to have different fold population propensities. We identify when charge-charge interactions are sufficient to explain fold-population trends and where additional sequence-dependent effects beyond native-charge contacts may be required.

Speaker: Dr Bahman Seifi (Department of Physics and Physical Oceanography, Memorial University of Newfoundland and Labrador)

18:17 (POS-46) Exploring Individualized Stimuli for Auditory Evoked Responses

Objective physiological tests are needed to assess hearing abilities of children who are not developmentally mature enough for behavioural hearing tests. One such physiological test to assess hearing sensitivity is the envelope following response (EFR). EFRs are scalp-based recordings of neural activity at the brainstem level that follows the envelope of sounds, such as naturally spoken vowels. Although EFRs have shown promise for inferring hearing acuity, low amplitude responses can be obscured by the electrophysiologic noise floor, reducing measurement accuracy and certainty in clinical decision-making. Past studies in our lab have shown that EFR amplitude is influenced by phase differences between pairs of vowel harmonics. Phase differences can be manipulated to increase EFR amplitudes based on a cochlear model of an average ear, however, the success of this approach is highly variable across participants.

To improve the optimization accuracy per individual, the present study aims to assess the utility of otoacoustic emissions (OAEs) to personalise the adjustment of harmonics phases. OAEs are low level sounds emitted by the inner ear (cochlea) in response to acoustic stimuli and they faithfully reflect cochlear mechanical processing. OAEs could thus aid in the estimation of stimulus travel time and individualized phase accumulation. By measuring each participant’s OAEs at the same frequency regions as the EFR stimulus, we will be able to design individualized EFR stimuli with optimal harmonic phase relationships for each vowel. If successful, this would be a first step towards a more time-efficient and individualized hearing test using vowel sounds. In addition, this work will also improve our understanding of how EFRs are initiated in the cochlea.

Speaker: Elizabeth Allison (Western University)

18:21 (POS-47) Deep Learning-Based Target Segmentation for MRI-Guided HDR-Brachytherapy: A Pilot Study

Cervical cancer remains a major global health burden, with Image-guided High-Dose-Rate Brachytherapy (HDR-BT) serving as a critical treatment modality, delivering precise radiation to the tumor while sparing organs at risk. While MRI is the gold standard for defining the Gross Tumor Volume (GTV), High-Risk Clinical Target Volume (HR-CTV), and Intermediate-Risk Clinical Target Volume (IR-CTV), manual segmentation is time-intensive and prone to inter-observer variability. Despite the clinical shift toward MRI guidance, automated segmentation tools remain predominantly CT-based. This pilot study evaluates the feasibility of a Convolutional Neural Network (CNN) framework for MRI-based segmentation and outlines a roadmap for integrating orthogonal views and Large Language Models (LLMs) to enhance workflow efficiency.

A pilot cohort of 12 patients with gynecological malignancies were selected. Ground truth contours were manually delineated by radiation oncologists. An automated pipeline using a self-configuring 3D U-Net architecture was developed. To address the nested nature of the target volumes, a hierarchical labeling strategy was implemented where regions were trained as exclusive shells and reconstructed into cumulative clinical volumes during inference.

The model achieved promising concordance for larger volumes, with a mean Dice Similarity Coefficient (DSC) of 0.69 ± 0.08 for HR-CTV and 0.70 ± 0.08 for IR-CTV. GTV performance was lower (DSC 0.16 ± 0.15), attributed to data saturation where the model correctly identified high-risk regions but conservatively classified the GTV core as HR-CTV due to limited training variance. Surface distance metrics were robust, yielding a mean HD95 of 9.4 ± 4.2 mm for HR-CTV and 11.2 ± 5.0 mm for IR-CTV.

This pilot study confirms the pipeline's stability ahead of an expansion to a ~300-patient dataset, which is expected to resolve GTV generalization constraints. Next steps involve extending the pipeline to a multi-view framework, integrating contours from sagittal and coronal planes to augment axial predictions. A novel multi-modal integration phase utilizing LLMs will also be deployed to encode clinical notes and diagnostic reports. By embedding this contextual data alongside imaging data, our aim is to refine predicted contours, specifically the IR-CTV boundary, which relies heavily on pre-treatment diagnostic context.

Speaker: Soroush Ghomashchi (University of Toronto)

18:23 (POS-48) Synthesizing higher-resolution transmission images from rastered pencil beams in a simultaneous-primary-scatter x-ray imager (SPSxi)

X-ray imaging in medicine, industry, and security can be limited by low contrast between materials. Our lab is developing a Simultaneous-Primary-Scatter x-ray imager (SPSxi), akin at a basic level to combining bright field and dark field imaging in microscopy. Radiation from a rotating-anode x-ray tube is collimated into pencil beams using tungsten/copper plates and the object is step-and-shoot raster scanned through the beams. The resulting radiation distributions are recorded by a PerkinElmer XRD 0840 AN13 Gd2O2S flat panel sensor, analysed, and a transmitted image plus a stack of scatter images at different angles out to about 10° are built point-by-point. The spatial resolution of the scatter image is determined by the pencil beam diameter, and thus there is a tradeoff between spatial resolution and scatter signal size. In our original SPSxi design, the pixel sizes of the scatter and primary images were the same, and equal to the distance that the object was stepped between acquisitions, in the neighbourhood of 1 mm.

Here we report on increasing the spatial resolution of the primary image, which is set by different parameters than the scatter image. In our original design, the primary signal was averaged across the pencil beam. In our current design, the intra-beam information is preserved. At the imaging detector, the primary beam exceeds 4 mm in diameter, while the detector element size is 400 μm. Thus a small circular pattern of about 80 samples 400 μm square can be recorded for each x-ray exposure. As the object is stepped through the beam, most object locations are sampled multiple times, by different parts of the primary beam, because the sequential primary beam footprints overlap on the object. We use Python code to position and place the primary beam information into a higher-resolution accumulation matrix. Since the SPSxi acquisition step size is not generally an integer multiple of 400 μm, we use an accumulation matrix with a finer grid, such as 100 μm. To generate the transmission image, the accumulated data are normalized by data from an air scan with no object present. Recent results are shown.

Speaker: Gabrielle Z. Lachance (Dept. Physics, Carleton Univ., Ottawa, Canada)

CAP-2026_abstract_Trachova-Lachance-Arulendran-Johns_poster-abstract_SPSxi.pdf

18:25 (POS-49) Evaluating an approximation of biological tissue photon propagation model using simulations

Modelling photon propagation in biological tissue is crucial for developing effective in vivo optical spectroscopic methods, such as those used to quantify blood oxygenation and the concentration of cytochrome c oxidase in its various redox states. However, current analytical models of light propagation in tissue are complex, making their implementation and usage quite challenging. Recently, an approximation of the photon flux model was proposed; log(R) = log(1+ρ√(3μaμ's) ) -log(μ's)+C, where R is the measured reflectance, ρ is the source-detector separation, and C is a constant that can be removed by taking the derivative of the equation. The aim of this project was to test the validity of this simplified model against the standard equation. The differences between the models are quantified and both are fitted to in silico data to evaluate their ability to extract relevant physiological parameters such as the concentration of oxygenated and deoxygenated hemoglobin, cytochrome c oxidase, and water content. Fitting was performed over a wavelength range of 700nm to 900nm, to mimic typical spectral range used for in vivo tissue spectroscopy. While the approximation is simpler, and therefore more convenient, it fails to properly fit to the original equation. Notably, the results showed that using the simplified equation could lead to errors of up to 99% for parameters such as cytochrome c oxidase and oxyhemoglobin, 25% for water and 21% for deoxyhemoglobin concentrations. These findings suggest that this approximation is inaccurate and should not be used to estimate the aforementioned tissue parameters.

Speaker: Dr Mamadou Diop (Western University & The Lawson Health Research Institute)

18:29 (POS-50) Modelling the motility patterns of peritrichous bacteria in the presence of varying chemoattractant and chemorepellent gradients

The motility of peritrichous bacteria, such as Escherichia coli (E. coli), is largely governed by “run-and-tumble” movements. E. coli have approximately 6 flagella which they use to propel themselves through viscous media. When these flagella rotate in a counterclockwise manner, the E. coli “run”, and are pushed in a steady direction forward. When the flagella rotate in a clockwise manner, the E. coli “tumble”, leading to a largely erratic motion. These types of movements alternate, resulting in the E. coli performing a random walk. However, this random walk becomes biased in the presence of chemoattractants and chemorepellents due to chemotaxis. During chemotaxis, E. coli will perform a varying number of tumbles and change the duration of runs to follow a gradient to areas of more chemoattractant and less chemorepellent. By simulating the motion of E. coli using a biased run-and-tumble model in Python, patterns in the duration and frequency of runs and tumbles, as well as bacteria cluster sizing, will be measured to elucidate underlying patterns in how E. coli move through different chemoattractant and chemorepellent gradients.

Speaker: Justus McRae (Brock University)

18:31 (POS-51) Spectroscopic Phasor Cross Correlation: A Novel Framework for Dynamic OCT Contrasts

Motivation/Background: Optical Coherence Tomography (OCT) signals provide highly sensitive measures of reflective elements in target tissue. The speckle of an OCT signal can capture cellular dynamics using a set of techniques referred to as dynamic OCT, which produces contrasts corresponding to molecular movements. OCT time signals also contain spectral information which have been used in pulse oximetry (1), intravascular lipid mapping (2), and chromophore identification (3). However, it hasn’t been applied to dynamic OCT methods that track changes in molecular movements over time.
Methods: In this study, a potential methodology for applying spectroscopic information for the development of dynamic OCT contrasts was illustrated. After computing the short-time Fourier transform, spectral contributions of OCT speckle were detected by performing cross correlation of the total complex phasor in each voxel with complex phasors in each spectral bin.
Results: Various spectral bands have shown activity in different layers of cornea, indicating different types of cellular activities. By correlating the evolution of component phasors with the total phasor at an OCT voxel, a series of images from a corneal B-scan over time were created, that show the spectral basis of fluctuations in the OCT signal.
Discussion/Conclusion: This method has the potential to create a new set of dynamic OCT contrast that may reveal unique characteristics of scatterers such as particle size and sub-resolution morphology. With this new dimension of OCT signal analysis, the biological mechanics of OCT biopsied tissues may be described in finer detail.

Speaker: Vethushan Ramalingam (University of Waterloo)

Spectroscopic Phasor Cross Correlation CAP Abstract Vethushan_Feb_20_2026_Submitted.docx

18:33 (POS-83) Understanding Magnetic Resonance Image Measurements of Geometrical Properties of Axons

An axon is a component of a neuron found in the central nervous system (CNS). Axon geometry is thought to change with diseases and disorders. The gold-standard for measuring axon diameters and axon densities within fibres is electron microscopy (EM). EM requires postmortem samples making the method unsuitable to understand the time course of any change in geometries of axons in the CNS. Recently, magnetic resonance (MR) imaging has been used to measure these geometric properties of axons. The goal is to create in vivo measurements for longitudinal studies to understand the time course of changes in diseases and disorders.
MR measurements typically overestimate the diameters of axons. One theory for this overestimation is based on MR measurements being conducted in a single direction with geometric models which assume axons to be long, parallel, impermeable cylinders. This work examines axon diameter measurements from EM images by emulating MR methodology. We investigate the impact of the direction and number of measurements, as well as the type of cells on diameter and density measurements.
A 1 mm image slice perpendicular to the genu substructure was imaged at 15.2T in 3 male and 3 female ex vivo 12-week-old CDI mice. Six diffusion-weighted oscillating gradient spin echo MR images were acquired per frequency (50-450 Hz) using apodised cosine waveforms (TE=50 ms, TR=1250 ms) with bmax ≤ 1500 s/mm² and 2 averages using a 15T Bruker NMR system. Ten 9.4 μm x 5.5 μm electron microscopy (EM) images each from each mouse were analyzed.
The differences between direction of analysis, number of measurements, and axon diameter sizes were not statistically significant. Cells other than myelinated axons have smaller diameters, on average, than myelinated axons. These other cells might contribute to densities measurements in MRI.
The authors acknowledge funding from NSERC, and Vanderbilt Institute of Imaging Science for use of their 15 T magnet in the experiments.

Speaker: Melanie Martin

18:35 (POS-74) Deep Learning Based Pseudo-CT Generation for Attenuation Correction in Standalone Brain PET

Positron emission tomography (PET) is a molecular imaging technique that detects gamma photons from an injected radiotracer to map biological activity in the body. Accurate attenuation correction provided by computed tomography (CT) maps is important for PET to increase image quality, but standalone PET scanners don’t have a co-registered CT map which limits the correction quality and decreases clinical interpretability. This project’s goal is to develop a CT free attenuation correction workflow for dedicated brain PET by synthesizing pseudo-CT images from the PET system and then converting them into attenuation maps (μ-maps). A deep learning based Dual-Stage Generative Adversarial Network (DSG-GAN) model was trained on paired brain PET/CT data to learn the PET to CT translation, after which the synthetic CT outputs were converted to μ-maps using tissue segmentation and HU-to-attenuation conversion with post-processing steps (threshold tuning, bilinear scaling, and intensity normalization) to improve anatomical quality. A template-based pipeline was used to support hybrid solutions, including affine PET-to-PET registration to template space and deformation of template μ-maps using the same transform. Quantitative evaluation tools, including Structural Similarity Index (SSIM), Peak Signal-to-Noise Ratio (PSNR), and voxel-wise error mapping. Initial affine registration tests were used to evaluate the μ-maps. Preliminary work on a reduced subset produced promising synthetic CT-derived μ-maps, with next steps including training on the deep learning model on the full PET/CT dataset and developing comprehensive benchmarking of attenuation-corrected reconstructions.

Speaker: Grace Zhang (University of Western Ontario)

18:00 → 19:30 DPP Poster Session & Student Poster Competition | Session d'affiches DPP et concours d'affiches étudiantes

18:00 (POS-53) The impact of spatio-temporal laser parameters on betatron x-ray generation from a laser-wakefield accelerator

Laser-wakefield acceleration (LWFA) occurs when an intense laser pulse drives a high-amplitude plasma wave in under dense plasma, trapping and accelerating electron bunches to relativistic energies over millimeter to centimeter scales. During the acceleration process, transverse electron oscillations within the plasma wakefield produce high-brightness, ultrashort "betatron" x-rays. The small source size and few femtosecond duration of these x-rays is well-suited for time-resolved imaging and absorption spectroscopy, supporting medical diagnostics, laboratory-scale astrophysics, and the study of microstructural dynamics in advanced materials. However, the practical use of betatron sources as a scalable tool for x-ray probing requires minimization of shot-to-shot fluctuations in x-ray flux and pointing.

This work addresses the critical need to improve source stability and characterization for high-throughput imaging applications. We investigate the impact of spatio-temporal laser parameters, specifically Group Delay Dispersion (GDD), Third Order Dispersion (TOD) and Pulse Front Tilt (PFT) on the LWFA process at the Advanced Laser Light Source (ALLS) in Quebec, Canada. Using the Ti:sapphire laser system at ALLS, delivering 3.2J of energy on target at 2.5Hz repetition rate with a pulse duration of ~20 fs, we demonstrate that a careful management of PFT is essential to mitigate off-axis x-ray beam steering and asymmetric electron injection. With such optimized laser conditions, stable betatron x-ray emission supports high-resolution imaging and tomographic scans.

Speaker: Mr Abdulhakeem Yusuf (University of Alberta)

Abstract_Conference_Hakeem.pdf

18:02 (POS-54) Diamagnetic Dynamo Driven Current Transport on EAST Tokamak

The fluctuation-induced dynamo electric field has been measured in the core of high-temperature EAST tokamak plasmas using Faraday-effect polarimetry and electron cyclotron emission (ECE). The magnetic amplitude of the kink mode (m/n = 1/1) saturates at 30–50 Gauss inside the q = 1 resonant surface. Electron temperature fluctuations reach up to 10% near the resonant surface, where the gradient of electron pressure exhibits a local maximum. These temperature fluctuations are predominantly driven by magnetic perturbations, and a correlation between electron temperature and radial magnetic fluctuations gives rise to a non-vanishing parallel dynamo electric field on the order of 10 mV/m, which is comparable to the resistive electric field (η∥ J). The dynamo electric field is capable of flattening the current profile, thereby facilitating the achievement of "hybrid" modes in a steady-state magnetic equilibrium.

Speaker: Prof. Wenzhe Mao (University of Science and Technology of China)

18:06 (POS-82) Experimental investigation of late-time nonlinear evolution of ion-Weibel filaments

The Weibel instability is a candidate mechanism for the generation of astrophysical seed fields: PIC simulations suggest that Weibel-generated fields might scale much more favorably for long length scales (��∝��0) than the Biermann-generated fields (��∝��-1). This possibility, however, requires a mechanism to explain how Weibel field structures grow to large length scales. Existing theory and simulations provide models whose predictions differ substantially depending on the included physics: one model [C. Ruyer et al., Physics of Plasmas 22, 032102 (2015)] predicts filament wavelengths grow as ��∝t2, while another model [M. Zhou, et al., Phys. Rev. Res. 1, 012004 (2019)] predicts ��∝t1/2 (for asymptotically late times t). Instabilities could play a role at disrupting the latetime evolution of Weibel filaments, which would change the temporal evolution of filaments. Presented in this work are new OMEGA experimental measurements at later times than previously observed. A comprehensive set of proton radiography measurements are used to capture filament evolution over a large field of view and Thomson scattering records the plasma conditions and subfilament structure, with the objective of determining which model best matches the late-time filament dynamics.

This work was performed under the auspices of the U.S. Department of Energy by Lawrence
Livermore National Laboratory under Contract DE-AC52-07NA27344.

Speaker: Graeme Sutcliffe (1Lawrence Livermore National Laboratory)

18:08 (POS-56) Experimental investigation of late-time nonlinear evolution of ion-Weibel filaments

The Weibel instability is a candidate mechanism for the generation of astrophysical seed fields: PIC simulations suggest that Weibel-generated fields might scale much more favorably for long length scales (B ∝ λ^0) than the Biermann-generated fields (B ∝ λ^-1). This possibility, however, requires a mechanism to explain how Weibel field structures grow to large length scales. Existing theory and simulations provide models whose predictions differ substantially depending on the included physics: one model [C. Ruyer et al., Physics of Plasmas 22, 032102 (2015)] predicts filament wavelengths grow as λ ∝ t^2, while another model [M. Zhou, et al., Phys. Rev. Res. 1, 012004 (2019)] predicts λ ∝ t^(1/2) (for asymptotically late times t). Instabilities could play a role at disrupting the late-time evolution of Weibel filaments, which would change the temporal evolution of filaments. Presented in this work are new OMEGA experimental measurements at later times than previously observed. A comprehensive set of proton radiography measurements are used to capture filament evolution over a large field of view and Thomson scattering records the plasma conditions and sub-filament structure, with the objective of determining which model best matches the late-time filament dynamics.

This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.

Speaker: Graeme Sutcliffe (1Lawrence Livermore National Laboratory)

18:10 Characterization of Microwave PECVD Plasmas for Diamond Film Deposition

Microwave Plasma Enhanced Chemical Vapour Deposition (PECVD) is a versatile technique for thin film deposition. Our group has been developing this technique for deposition of diamond thin films for a variety of applications including quantum applications of the diamond NV- centre, thermal transport layers for semiconductor layers, and nuclear battery applications.
The characterization of the microwave plasma is a key requirement for repeatable film deposition. This talk will report on new work in this area of plasma characterization which we have recently embarked upon.

Speaker: Michael Bradley

18:00 → 19:30 DQI Poster Session & Student Poster Competition | Session d'affiches DIQ et concours d'affiches étudiantes

18:00 (POS-57) Round-Trip-Free Distributed Quantum Computation via Photonic Graph-State Stitching

Distributed quantum computation is currently constrained by the latency of probabilistic inter-module entanglement. Traditional architectures rely on sequential teleportation, where the total runtime scales with the sum of geometric waiting times for each successful Bell-pair generation. In this work, we propose "stitched measurement-based quantum computation" (stitched MBQC) as a deterministic alternative that parallelizes these probabilistic events.

Rather than establishing links gate-by-gate, our protocol prepares local photonic graph states within each module and "stitches" them at the boundaries using parallel photonic Bell-state measurements (BSMs). We derive the stabilizer formalism showing that a successful BSM on emitted photons projects the boundary qubits into a joint stabilizer state, effectively adding a graph edge between modules without requiring round-trip signaling. Once a sufficient number of edges are established, the modules form a single distributed cluster state, allowing a full layer of cross-module gates to be executed deterministically via single-qubit measurements.

This approach transforms the latency scaling from a sum of geometric random variables to a single negative-binomial distribution, significantly thinning the heavy tail associated with entanglement attempts. Using custom MBQC gadgets designed for Grover’s search and QAOA, we demonstrate through simulation that stitching reduces expected latency by a factor of 3–6$\times$ compared to standard teleportation.

Speaker: Dhyan Baruah (University of New Brunswick, Department of Electrical and Computer Engineering)

18:02 (POS-58) Simultaneous Amplitude and Phase Spectroscopy using Two-Photon Interference

Spectroscopy is routinely applied to measurement of photosensitive samples such as single molecules, quantum emitters (such as quantum dots), and perovskite solar cells. These samples are irreversibly altered when exposed to high optical powers, which necessitates the use of probe beams low photon fluxes. In this regime, measurement statistics are dominated by shot noise, which fundamentally limits the possible measurement precision. Recent advances in quantum optics have led to the use of heralded single photons for absorption spectroscopy, allowing for sub-shot noise sensitivity. At the same time, it is often desirable to measure the spectral phase imparted by the sample, which characterizes time-dependent processes.

Our group proposes, and has experimentally demonstrated, a new quantum spectroscopy technique allowing for simultaneous absorption and phase measurements at low photon fluxes. The technique relies on Hong-Ou-Mandel interference between a probe photon and a herald photon, which results in a phase-sensitive interference pattern. At the same time, heralding statistics can be measured through the number of coincidence and single detections. Theoretical calculations show that these heralding statistics can be used for a sub-shot noise absorption measurement, similar to previous techniques. Our method therefore allows one to obtain additional information about the phase shifts of a sample without sacrificing quantum-enhanced absorption sensitivity.

We report on a proof-of-principle experiment demonstrating this technique. Using a time-tagging biphoton spectrometer, we simultaneously measure the frequency of photons as well as their bunching statistics. This allows for a measurement of the spectrally-resolved Hong-Ou-Mandel interferogram, from which we estimate the absorption and phase spectra of a dye sample. Our experiment features a large 150 nm bandwidth and few-minute exposure times, making our technique a viable practical tool for low-flux spectroscopic measurements.

Speaker: Kyle Jordan (National Research Council Canada)

18:04 (POS-59) Towards Electrostatistically Enabled Single-Photon Emitters in WSe₂ Using Graphite Nanopore Gating

Single-photon emitters (SPEs) are fundamental for optical-based quantum technologies [1], however, high quality and practically usable SPEs require properties that are hard to realize in the lab. Ideal SPEs must have high purity, produce indistinguishable photons with high brightness and must be easily reproduceable and scalable. A potential avenue to achieve these properties is to use two-dimensional (2D) materials for this purpose. Recently, it has been shown that 2D-materials like hexagonal boron nitride (hBN) and transition metal dichalcogenides (TMDs) can host SPEs with the desired properties. Using defects by high temperature annealing and focused ion beam (FIB) irradiation, hBN produced high-purity single photons at room temperature [2]. In parallel, combining strain via nanoscale stressors and defects with electron beam irradiation also showed high purity single photon emission in tungsten diselenide (WSe2) [3].

In this work, we aim to deterministically create scalable SPEs. To do so, we electrostatically define them in monolayer WSe₂ using nanopatterned graphite screening gates. A graphite flake patterned with periodic 30 nm nanoholes is used to screen the electric field from a global back gate, allowing manipulation of the field at the WSe₂ layer and the creation of local minima that could trap charges over that 30nm diameter and activate emitters. After their fabrication, proper characterization techniques such as photoluminescence spectroscopy and Hanbury Brown Twiss interferometry will be used on our samples, both at room and cryogenic temperatures.

1- Sunny Gupta, Wenjing Wu, Shengxi Huang, and Boris I. Yakobson. The Journal of Physical Chemistry Letters 2023 14 (13), 3274-3284 DOI: 10.1021/acs.jpclett.2c03674

2- Grosso, G., Moon, H., Lienhard, B. et al. Tunable and high-purity room temperature single-photon emission from atomic defects in hexagonal boron nitride. Nat Commun 8, 705 (2017). https://doi.org/10.1038/s41467-017-00810-2

3- Parto, K., Azzam, S.I., Banerjee, K. et al. Defect and strain engineering of monolayer WSe2 enables site-controlled single-photon emission up to 150 K. Nat Commun 12, 3585 (2021). https://doi.org/10.1038/s41467-021-23709-5

Speaker: Mohamed Amine Kabraoui (University of Ottawa)

18:06 (POS-60) Overcoming environmentally-induced timing instability in time-bin quantum communication over fibre

Time-bin encoding is a promising platform for long-distance, optical fibre-based quantum key distribution (QKD) because it can support high communication rates and is robust to polarization instability which is present in commercial single-mode fibres. Practical time-bin encoding requires the bin separation time to be small enough to maintain sufficient phase stability in interferometric measurement schemes, while being large enough for the bins to still be distinguishable.

The use of ultrafast optics and fast, low-jitter detectors can enable the preparation and measurement of time-bins separated by only a few picoseconds. However, an optical fibre deployed in a real-world environment may be exposed to fluctuating temperatures, which in turn results in a fluctuating effective refractive index due to thermal expansion. This fluctuation can be large enough to create ambiguity in whether a photon is detected in a “early” or “late” time-bin. Disambiguating the time-bins requires the use of a suitable clock or signal that can maintain a consistent time delay relative to the time-bin states, regardless of absolute fluctuations in the fibre effective index.

In this work, we propose the use of wavelength-division multiplexing in a single-mode fibre to co-propagate O-band time-bin states with a C-band optical pulse train acting as a reference clock. In our setup, a 1040 nm femtosecond pulsed laser is used to generate linearly-polarized photons at 1345 nm via spontaneous four-wave mixing in a birefringent fibre; these photons are subsequently converted into corresponding time-bin states by inducing a polarization-dependent delay using a birefringent crystal (α-BBO). The laser simultaneously pumps an optical parametric oscillator which generates pulses at 1550 nm synchronously with the 1345 nm photons. Both fields are then co-propagated through a 10-km spool of SMF-28 fibre. The two fields are demultiplexed after the fibre, where the 1550 nm pulses are used to trigger/gate the fast detectors used to measure the 1345 nm time-bin states. We characterize the stability of the relative signal-clock delay under real-world conditions by varying the temperature of the fibre spool, and assess the feasibility of using this procedure for synchronization in time-bin QKD.

Speaker: Mr Timothy Lee (University of Ottawa)

18:00 → 19:30 DSS Poster Session | Session d'affiches DSS

18:00 (POS-61) Individual silicon atom abstraction from Si(100) enabled by mechanosynthesis and inverted-mode scanning tunneling microscopy

Atomically precise manipulation of individual, covalently bonded atoms has been a difficult problem for both bottom-up and top-down approaches in nanotechnology. In this work, we employ our recently developed inverted-mode scanning tunneling microscopy (IM-STM) as a platform for atomically precise mechanosynthesis [1]. In our chosen application, individual Si atoms can be routinely abstracted from a Si(100) crystalline surface with sub-Ångström resolution by piezo-actuator controlled mechanical interaction with individual “molecular tools”, which serve both as local reagents for chemical modification of the Si probe and as in situ product-imaging molecules for IM-STM. We highlight the use of one such newly synthesized tripodal molecular tool: MAOC-C2I, for highly reproducible generation of individual and patterned Si vacancies and divacancies, as well as subsequent targeted reconstructions of the Si surface. The terminal ethynyl iodide (-C2I) functional group of the covalently surface-bound MAOC-C2I, once “activated” in situ with applied bias pulses, presents a –C2* radical moiety anchored by a C bridgehead atom to bond with and mechanically abstract the target Si atom from a Si(100)-2x1 dimer pair. Our results demonstrate new routes to patterning the Si(100) surface as a potential complementary technique to hydrogen depassivation lithography, highlighting additional capabilities towards atomically precise fabrication. These advances show promise for further developments in mechanosynthesis-enabled nanotechnologies with the highly flexible chemical platform afforded by our molecular tool design [2].

1. E. Barrera et al., “Inverted-mode scanning tunneling microscopy for atomically precise fabrication,” arXiv:2512.24431 [cond-mat.mes-hall] (2025), https://doi.org/10.48550/arxiv.2512.24431 (submitted for peer review). 
2. T. Huff et al., “Molecular tools for non-planar surface chemistry,” arXiv:2508.16798 [cond-mat.mtrl-sci] (2025), https://doi.org/10.48550/arXiv.2508.16798 (submitted for peer review).

Speaker: Zehra Ahmed (CBN Nano Technologies Inc.)

18:02 (POS-62) Deterministic Placement of C2H Molecules on Si(100) Using Inverted-Mode STM

Here, we present an atomically precise fabrication (APF) approach based on bottom-up, building of covalently bonded structures on surfaces through the addition, abstraction, and manipulation of individual atoms or small few-atom moieties/functional groups. Our approach to mechanosynthetic APF is enabled by Inverted-Mode Scanning Tunneling Microscopy (IM-STM), a technique that uses tailored 3D molecules deposited on a sample to scan and react with a flat, crystalline silicon probe, enabling reagent transfer to the probe apex with sub-angstrom precision. This capability opens potential pathways for deterministic placement of qubit structures at specific atomic sites and orientations, as well as precise surface patterning or modification of materials.
We demonstrate the site- and orientation-specific formation of C2H on a Si(100) probe apex through IM-STM. The probe interacted with custom-synthesized 3D molecules (MAOGe-C2H) presenting an upright C2H moiety, or “feedstock”, which have relevance for quantum applications as the main constituent in T centres. By precisely moving the probe, the feedstock can be positioned at a specific silicon dimer on the probe, and a tailored X-Y-Z trajectory can be leveraged to transfer C2H in the desired configuration and orientation.
Through the choice of trajectory, C2H could be transferred to a single dimer or between two dimers, with success rates of 87 ± 4% and 72 ± 1%, respectively. Simulated STM images using Density Functional Theory showed strong agreement with experiments, providing high confidence in the proposed atomic configurations. Structures containing numerous C2H units were consistently fabricated, with controlled molecule orientation in each transfer.
Our ability to reproducibly control the position and orientation of individual molecules during transfer via mechanosynthesis represents a significant advance in APF. These results open new avenues for future development of complex, functionally relevant structures at the atomic scale and could also inform future efforts in qubit integration, T centre fabrication, and atomically precise surface engineering.

Speaker: Jacqueline Kort-Mascort (CBN Nano Technologies Inc.)

18:04 (POS-63) Force to Spin a Molecular Rotor

Frequency-modulated atomic force microscopy (fm-AFM) is well suited to probe forces between the tip and surface. Vertical forces can be inferred by sampling the frequency shifts while varying the tip-sample distance above a point on the sample. In our work, we explore a custom-synthesized molecule: tetrakis(iodomethyl)germane (Ge(CH2I)4; TIMe-Ge), which consistently presents a near-normal-facing CH2I group upon deposition on depassivated Si(100) surface. At 4K, the normal-facing CH2I group remains stationary in one of three energy-minimized rotamers. The group can be manipulated into each of the three rotamers by using the attractive force between the tip and the CH2I.

We employ the methodology used by Ternes, et al.[1] to measure the horizontal force required to switch between rotamers. In this work, we iteratively took frequency shift measurements along lines parallel to the sample surface at sequentially smaller tip sample separations. The line direction is off-center from the TIMe-Ge molecule so that the normal-facing CH2I group is manipulated into a new rotamer. The frequency shift data can then be used to determine the potential energy landscape at each point along this line. By taking a partial derivative along the direction of the horizontal line, horizontal forces can be inferred at each point, including the point at which the CH2I group rotates. By demonstrating the ability to measure this force for a single bond, this work highlights the utility of fm-AFM as a technique to investigate molecular rotors and other machines.

​​1. Ternes, M., Lutz, C. P., Hirjibehedin, C. F., Giessibl, F. J. & Heinrich, A. J. The Force Needed to Move an Atom on a Surface. Science 319, 1066–1069 (2008).​

Speaker: Henry Rodriguez (CBN Nano Technologies Inc.)

18:06 (POS-64) Calcium Pipe Diffusion Along Dislocations in MgO(100) Single Crystal

In surface science, MgO is attractive due to its highly stable, atomically flat (100) vicinal surface for epitaxial growth. Annealing is commonly used to form well-defined terraces on MgO single-crystal substrates. In MgO crystals, however, impurities can redistribute during thermal treatment; calcium is commonly reported as one of the most prevalent impurities in MgO single crystals and is known to segregate to the surface upon annealing. It is also reported that mechanical surface polishing may increase CaO segregation and it would be linked to the formation of dislocations on the surface by polishing. As dislocations further enhance segregation attracting impurities such as Ca, promoting accumulation along dislocation lines and at surface.
To understand the segregation mechanism, MgO(100) single crystals were annealed at 1100 °C under 80 sccm O2 flow for different annealing time. Annealed samples characterized by terraces separated by atomic steps and a secondary phase distinct from the bulk MgO. AFM phase images showing a phase contrast of ~20°, which corresponds to the existence of a different material om the MgO single crystal surface. TEM elemental mapping identify them as CaO particles. TEM images also provide insight into the underlying lattice structure, a high density of dislocations below the MgO surface becomes evident. These dislocations are concentrated near the segregated CaO particles, suggesting a strong interaction between lattice defects and surface impurities. Ca atoms migrate to the surface along dislocation cores, forming CaO particles that act as pinning centers at the edges of MgO terraces. In some of these pinned regions, step bunching is observed, which serves as further evidence for the presence of dislocations beneath the CaO particles. This behavior also demonstrates the role of pipe diffusion in facilitating the transport of Ca to the surface, highlighting the strong coupling between dislocation-mediated diffusion and surface morphology evolution.

Speaker: Ms Elnaz Familsatarian (Institut national de la recherche scientifique, centre Énergie, Matériaux, Télécommunications (INRS-EMT) 1650 blvd Lionel Boulet, J3X 1P7 Varennes, QC, Canada)

CaO segregation.pdf

18:00 → 19:30 DTP Poster Session & Student Poster Competition | Session d'affiches DPT et concours d'affiches étudiantes

18:00 (POS-66) Temporal Entanglement: Two Particles or Two Observation Points?

In a novel relational time model, a single temporal node maps multiple spatial points onto indeterminate locations. One observer’s measurement selects a deterministic spatial outcome, forming a bound relational state; a second observer independently does the same at the same temporal anchor.

Correlations arise not from particle interactions but from referencing the same relational instant of now. This “temporal entanglement” replaces particle linkage with observer relations, explaining nonlocal quantum correlations as features of time itself.

Exploration of this concept offers opportunity for further theoretical development.

Speaker: Dr Steven Moore

POS-66_Moore_CAP2026.pdf

18:02 (POS-68) Machine Learning Frameworks for Magnetohydrodynamics: Integrating Physics-Informed and Data-Driven Methods

The gravitational collapse of magnetized astrophysical fluids underlies a wide range of phenomena, from protostellar formation to large-scale structure evolution. These systems are governed by magnetohydrodynamic (MHD) equations, a nonlinear and tightly coupled set of partial differential equations that pose significant challenges for traditional numerical solvers. High-resolution finite-volume methods accurately capture shocks and discontinuities but scale poorly as spatial and temporal resolution increases, especially in multi-dimensional simulations.
This work investigates Physics-Informed Neural Networks (PINNs) as a complementary framework for solving well-established MHD benchmark problems without conventional time-marching schemes. Three representative cases are considered. In one dimension, PINNs are applied to the Brio–Wu shock tube and the slowly moving shock variant to test recovery of discontinuous solutions governed by the ideal MHD equations. In two dimensions, the method is extended to gravitationally stratified MHD systems exhibiting magnetic buoyancy, including the Parker instability. As a third component, PINNs are explored as solvers for the elliptic Poisson equation governing the gravitational potential of a thin disk, using established polar-coordinate and convolution-based formulations as reference solutions.
In each case, the governing equations are embedded directly into the network loss function, and the physical variables are represented by continuous neural approximations. The results are compared with numerical solutions and purely data-driven models to evaluate accuracy and stability in shock-dominated flows, instability evolution, and elliptic gravitational field calculations. These comparisons provide a quantitative assessment of PINN performance on classical MHD benchmark problems relative to conventional numerical approaches, highlighting both their capabilities and current limitations.

Speaker: Ms Malavika Nair (Western University)

18:04 (POS-70) Testing ER = EPR with Hydrogen

According to the ER = EPR conjecture, entangled particles are connected by quantum wormholes. Under the assumption that some of the electric field surrounding an entangled charged particle leaks into the wormhole, we show that this effect will modify the hyperfine structure of the Hydrogen atom. In addition, if the quantum wormholes are nontraversable, this will also lead to a nonzero total effective charge for the Hydrogen atom. These effects provide strong constraints on the amplitude of this potential ER = EPR effect, given high-precision measurements of the Hydrogen atom's hyperfine structure and total charge.

Speaker: Irfan Javed (University of New Brunswick)

18:06 (POS-71) Active deep learning methods for regression

Active learning (AL) is under-researched for regression problems, with a majority of publications focusing on classification tasks. There is also a need for research concerning AL methods for deep learning. These methods are often approximations by necessity, as AL requires the models to not only predict current performance, but also changes in future performance. Deep learning methods do not directly provide this information.

   We investigate recent methods of AL data selection for regression including variance-based query-by-committee, Fisher information matrices, and feature-based largest cluster maximum distance selection. Within the query-by-committee methods, we compare two dropout pseudo-ensemble committee frameworks as well as a true ensemble setup. We test these methods for synthetic regression datasets that increase in complexity to recommend best use cases. We also use our findings of the methods' relative strengths and weaknesses to determine an optimal method for a high-dimensional nanophotonics inverse design project.

Speaker: Kieran Watts (University of Ottawa)

18:08 (POS-69) Thermodynamics of Polyhedral Spin Ice

Artificial spin ices (ASIs) are nanostructured arrays of ferromagnetic elements designed to study frustration and emergent phenomena. ASI studies have largely been confined to two-dimensional lattice geometries. A recent study has extended ASIs to three dimensions, with a buckyball-shaped arrangement of nanomagnets. Inspired by this study, we investigate ASIs in various polyhedral geometries: the five Platonic solids (tetrahedron, cube, octahedron, dodecahedron, icosahedron) and one particular Archimedean solid, the cuboctahedron. Each polyhedron is modelled as a collection of bar magnets along its edges. Due to strong shape anisotropy, the magnets are Ising-like with two possible orientations. We enumerate all possible magnetic configurations and calculate their energies from dipolar interactions. Using the canonical ensemble approach, we study their properties as a function of temperature. We see two properties that ‘emerge’ at low temperatures: (i) the ice-rule constraint and (ii) chirality on polygonal faces. Our results may guide experimental studies on ASI construction, thermal properties and dynamics.

Speaker: Lindsay Tait (Brock University)

18:10 (POS-67) Integration of Time-Symmetric Principles into Dynamical-Collapse Models to Formulate a Unified Framework for Objective Reduction

The quantum measurement problem exposes a long-standing inconsistency between the linear, deterministic evolution prescribed by the Schrodinger equation and the stochastic, apparently discontinuous nature of measurement outcomes. In this study, we provide a unified analysis of the measurement problem, evaluating the limitations of existing theories while emphasizing the modern role of decoherence in motivating objective reduction. The central contribution of this study is the integration of time-symmetric principles into dynamical-collapse models. We demonstrate that wave-function collapse is not inherently time-asymmetric; instead, observed temporal directionality emerges from asymmetric boundary conditions applied to a symmetric dynamical foundation. By reframing measurement as a domain-dependent transition between dissipative and non-dissipative stochastic regimes, this framework offers a novel conceptual pathway toward a self-consistent resolution of quantum foundations.

Speaker: Dr Ikechukwu Okoro (Delta State University, Abraka Nigeria)

18:12 (POS-65) A Unified Quantum-Geometric Framework for Generalized Artificial Neural Networks

We present a unified framework integrating Loop Quantum Gravity (LQG) and Quantum Field Theory (QFT) to model abstract Artificial Neural Networks (ANNs). Existing ANNs lack a physical basis for higher-order cognition, self-reference and general intelligence, motivating an LQG- and QFT-based framework. We model neurons as quanta of space at LQG spin-network nodes, neuron states as quantum states in Hilbert space and edges labeled by spins serving as complex spin-weights defining the network topology. Information processing is described as quantum-state evolution governed by Hamiltonian constraints of LQG, where learning consists of discrete, unitary, energy-conserving updates, reducing curvature and encoding information as geometric deformation. QFT-based input and output layers are modeled as continuous field excitations that interact coherently with the discrete spin-network geometry. Spin transitions yield gradient-like updates linking optimization to curvature flow in quantum geometry. Higher-order dynamical feedback states emerge that encode both external data and the network’s own evolution, enabling self-referential computation. Conserved excitations interacting as particles in QFT drive the unitary evolution that sustains memory, suggesting a unified ANN framework.

Speaker: Muhammad Nawaf Nafi (Bangladesh Air Force Shaheen College Dhaka)

18:00 → 19:30 PPD Poster Session & Student Poster Competition | Session d'affiches PPD et concours d'affiches étudiantes

18:00 (POS-72) Modelling and Experimental Design for Directional Sensitivity in the NEWS-G Dark Matter Experiment

Dark matter (DM) constitutes the majority of the universe’s mass but remains undetected on Earth. The New Experiments with Spheres - Gas (NEWS-G) experiment is designed to directly detect low-mass dark matter candidates using a spherical proportional counter filled with light noble gases, enabling sensitivity to single electrons. At these low energies, the coherent elastic scattering of solar neutrinos (CE𝜈NS) will pose an irreducible background, creating the so-called solar neutrino floor, limiting conventional searches. Directional sensitivity offers a powerful strategy to discriminate between dark-matter-induced events and solar neutrino backgrounds, as these signals originate from distinct directions.
In this presentation, I will present advanced computational and modelling tools developed for reconstructing particle direction in the NEWS-G detector, leveraging its 11-anode sensor geometry. I will explain how spatial and temporal distributions of charge collected on multiple anodes are used to infer the trajectories of ionizing particles. Additionally, I will introduce machine learning techniques for event direction reconstruction based on detector observables, and discuss performance results that help identify optimal detector configurations for directional sensitivity. This simulation and computational work will establish a robust framework, enabling precise comparisons with experimental data to go beyond the solar neutrino floor with the NEWS-G experiment.

Speaker: Keiran Nicholson (University of Alberta)

18:04 (POS-76) Mind the Gap: Temperature Separation in Two-Step Electroweak Breaking

Electroweak phase transitions in the early Universe are widely studied because they can provide the out-of-equilibrium conditions needed for baryogenesis. We consider a two-field scenario where an extra real scalar field is coupled to the Higgs field, and the thermal history happens in two steps: first, the scalar field develops a non-zero vacuum expectation value while the Higgs vacuum expectation value stays zero; later, the roles switch so that the scalar vacuum expectation value goes back to zero and the Higgs vacuum expectation value becomes non-zero, completing the electroweak transition. Our main goal is to measure how far apart these two transitions can be in temperature, i.e., how large the temperature gap can be between the onset of the scalar phase and the nucleation of the Higgs transition. We focus on transitions in the electroweak range from roughly 10 GeV up to 1 TeV, and discuss how making the two steps more separated can affect a baryogenesis scenario.

Speaker: Kimia Ghanaatpisheh (Carleton University)

18:24 (POS-77) SuperCDMS Programmable Logic Controller System

SuperCDMS is searching for dark matter in the sub 10 GeV region using silicon and germanium detectors cooled to <20mK. The cooling is done with a suite of cryocoolers, including 2 Gifford-McMahon coolers, 3 pulse tube coolers, and one dilution refrigerator. For cryogenic control SuperCDMS relies on a large number of thermometers, heaters, pressure transducers, and valves to control and monitor both the cryogenic stages and the lab environment. In order to control and read out these devices we created a Programmable Logic Control (PLC) system. The system collects data from the sensors using a large array of EtherCAT modules from Beckhoff as well as several Arduinos and smaller computers. We use this data for our monitoring and alarms system. For monitoring the status of the experiment we’ve created a web page for members of the collaboration to access that displays the readings of each of our sensors. For the alarms we have scripts set up to send alerts to designated shifters when a sensor goes out of its expected range or part of the monitoring system itself stops working. The PLC system is also used to control important components using a TwinCAT interface also from Beckhoff. In this poster I will describe the technical design of this PLC system as well as the work we have done to make this system functional.

Speaker: Cassandra Harms (University of Toronto)

18:26 (POS-79) Applying Machine Learning Techniques to the PIONEER Experiment’s Active Target

The PIONEER experiment is a next-generation investigation into rare pion decays, aimed at probing beyond the Standard Model (SM) physics by accurately measuring the charged-pion branching ratio of electrons versus muons Re/$\mu$ - providing a sensitive test of Lepton Flavour Universality. The SM provides a calculation of Re/$\mu$ at the 0.01% level, a factor 15 times better than the most precise experimental measurement. The PIONEER experiment aims at closing the precision gap between theory and experiment, with the possibility of revealing new physics at the PeV scale. PIONEER has been proposed and approved with high priority at the Paul Scherrer Institute in Switzerland.

This poster will focus on applying machine learning (ML) techniques to PIONEER’s active target (ATAR). The ATAR is a central piece of the detector and a key enhancement over earlier experiments measuring Re/$\mu$. It is composed of 48 successive planes of 120$\mu$m thin low-gain avalanche diodes (LGADs). This technology allows 5-dimensional event reconstruction providing precise timing, energy, and three-dimensional spatial information. ML offers an attractive alternative to traditional reconstruction and analysis approaches for pattern recognition. This work explores the integration of a neural-network architecture based on transformers into the ATAR reconstruction pipeline, and investigates its performance and potential for particle identification and tracking.

Speaker: Meghan Naar (TRIUMF)

18:28 (POS-80) Dynamical Signatures of Dark Matter Halo Rotation in Tidal Streams

This study investigates the impact of dark matter halo rotation on satellite orbital decay rates and tidal stream formation, with a focus on the role of dynamical friction and energy loss. Using N-body simulations and analytical models, the effects of varying halo spin isotropies on satellite motion and the resulting tidal streams are examined. The results show that co-rotation with the satellite’s orbit reduces the orbital decay rate, while counterrotation accelerates it. The strength of rotation is directly related to the intensity of dynamical friction, with stronger rotations leading to greater changes in the rate of energy loss. These findings suggest that tidal stream dynamics are sensitive to the rotational properties of dark matter halos, and indicate that tidal streams can serve as effective tracers of halo rotation. This highlights their potential as a tool for probing the dynamical state of dark matter halos.

Speaker: Devon Leskiw (Carleton University)

18:30 (POS-75) To B, or Not to B: Is B-Meson Entanglement Measurable?

Entangled quantum systems violate Bell's inequality. Quantum entanglement has been observed in photon systems through Bell's inequality test. Particle physicists have been interested in testing Bell's inequality at various particle colliders, e.g. through top quark pairs at the LHC, providing a new realm of entangled systems at much higher energies than previously observed. One such entangled system is neutral B meson pairs at B-factories. Belle Collaboration reported an observation of Bell's inequality violation in entangled B mesons [Go, 2003]. However, later theoretical work [Bramon etal, 2005] raised concerns about these results and claimed that Bell's inequality tests cannot be performed at particle colliders. We analyze the origin of this discrepancy in the literature by comparing the theoretical assumptions used in the two approaches.

Speaker: Xiaoqing Wu (Carleton University)

18:32 (POS-78) Precision spectroscopy of rare-earth nuclei to search for T-violation

Astrophysical observations suggest that the Standard Model of particle physics is incomplete. The abundance of matter over antimatter in the universe requires new physics that violates time-reversal (T) symmetry. Moreover, axionlike particles, a well-motivated dark matter candidate, produce oscillating T-violation. Gluon couplings to new particles or fields lead to T-violating nuclear moments, which can be measured through their effect on the hyperfine structure of atomic ions in a crystal. In our experiment, we use optical transitions to measure these effects. To perform the precision spectroscopy, we have developed a stable laser system and an optical cryostat. In this poster we present the experimental setup and discuss recent measurements.

Speaker: Florian Brandstatter (University of Toronto)

19:02 (POS-73) Non thermal dark matter produced just after inflation

Astronomical observations indicate that dark matter exists, but what it is and how it is produced remains unsolved. We consider the possibility that dark matter is made up of a sea of cold degenerate fermions. Such particles may be produced out of thermal equilibrium in the very early universe, just after inflation. Production happens through the non-perturbative mechanism of fermionic preheating, during coherent oscillations of the inflaton field. The production mechanism is described by numerical solutions of an oscillator-like differential equation that has a natural frequency represented by $\Omega_{\kappa}$ (having momentum $\kappa$) and depends on a parameter $q$ that quantifies how strongly the inflaton field couples with the fermions. We find that the actual momentum spectrum of the fermions produced by this mechanism is not degenerate. For small $q$ ($\lesssim 0.01$), instead of a momentum sphere, the major contributions to the total number density of fermions come from momentum shells which correspond to resonance peaks in the momentum distribution. For larger $q$, we observe a major contribution from an approximately half-filled sphere and sub-dominant contributions from the resonance peaks. We find a simple semi-analytic relation using the average of $\Omega_{\kappa}$ over time that predicts the momentum values where resonance peaks are present without the need to numerically solve a differential equation. We then obtain analytic power-law approximations for the total number density of fermions, accounting for contributions from the full momentum distribution. We find good approximations in two regimes: the total number density is proportional to $q^{1/2}$ for $q\lesssim 0.01$ and proportional to $q^{3/4}$ for $q\gtrsim 10$.

Speaker: Fazlul Yasin (Carleton University Ottawa)

NonThermalDarkMatter_FazlulYasin.pdf

19:04 (POS-81) Automated Spectral Light Response Characterization of the MOLLER Main Detector PMT Array

The MOLLER experiment at Jefferson Lab will measure the weak mixing angle with unprecedented precision via parity-violating Møller scattering. The main detector comprises 224 photomultiplier tubes (PMTs) arranged to detect Cherenkov light in the UV range. Ensuring well-characterized spectral response across all detectors is important for detector quality control and optimal PMT positioning within the array.
I developed an automated spectral characterization system using a UV-enhanced arc xenon lamp to measure the relative spectral response for each PMT. The automated pipeline, developed in Python, reduces the time required to characterize a single PMT by approximately 45 minutes compared to manual measurement, enabling efficient full-array characterization.
Measurements across the 80-PMT array reveal a 12% variation in spectral response amplitude. These results are used to inform the physical positioning of PMTs within the MOLLER detector ring. Characterization data are currently being analyzed to establish quality control criteria for detector acceptance.
This work demonstrates a characterization directly applicable to precision detector systems in nuclear and particle physics experiments.

Speaker: nazanin roshanshah

19:45 → 21:45 CJP Editorial Board Dinner | Souper du comité de rédaction de la RCP

19:45 → 21:45 Departmental Leaders Meeting (by invitation only) / Réunion des directeurs(directrices) de département (sur invitation seulement)

Chaired by Chitra Rangan (University of Windsor), CAP Director of Academics Affairs

19:45 → 22:45 Open Forum with Student Advisory Council followed by possible student networking event at another venue | Forum ouvert avec le conseil consultatif des étudiants, suivi d'un éventuel événement de mise en réseau des étudiants dans un autre lieu.

Are you interested in being involved with student-led initiatives for Canadian physics students? Do you want your voice heard throughout the Canadian physics community? Join us at the Open Forum with the CAP Student Advisory Council which starts off with a quick presentation of who we are and what we do, followed by an open discussion for ideas, questions, and feedback. Don’t miss it!

Wednesday 24 June

07:30 → 07:50 Congress Registration and Information (07h30-17h00) | Inscription au Congrès et information (07h30-17h00)

08:45 → 09:00 Plenary hall opens | Ouverture de la salle plénière

09:00 → 09:45 W-PLEN1 NSERC Community Update Plenary Session | Session plénière - Mise à jour de la communauté par le CRSNG

Convener: Melanie Martin

CAP Congress Outreach & Results Deck 2026 - EN.pdf

CAP Congress Outreach & Results Deck 2026 - FR.pdf

09:45 → 10:15 Health Break with Exhibitors | Pause santé avec les exposants

10:15 → 12:00 W1-1 SYMPOSIUM; Future Particle Physics Energy Frontier Facilities | Installations futures à la pointe de la physique des particules

With the discovery of the Higgs boson the Standard Model is now complete. Yet key questions remain unanswered: the matter–antimatter asymmetry, the nature of dark matter and the origin of neutrino masses. Addressing these requires physics beyond the Standard Model and motivates intensified collider exploration. This symposium will bring together researchers working on new facilities that will enable exploration of the energy frontier. Discussion topics will include theory motivations, experimental developments, and accelerator technologies that enable the next generation of experiments.

A portion of the symposium will be dedicated to convene Canadian researchers interested in learning about or contributing to the Future Circular Collider (FCC). This new accelerator is designed to extend our reach with unprecedented sensitivity, precision, and energy beyond the TeV scale. If pursued by CERN and Europe, 2028–2034 will be a critical period for building collaborations and developing the required detector technologies. The goal is to engage researchers in material science, computational physics, instrumentation, accelerator technology and high energy theory and experiment in shaping a new effort that could be a major part of Canada’s subatomic physics community.

Avec la découverte du boson de Higgs, le Modèle standard est désormais complet. Cependant, des questions fondamentales restent sans réponse : l'asymétrie matière-antimatière, la nature de la matière noire et l'origine des masses des neutrinos. Pour y répondre, il faut aller au-delà du Modèle standard et intensifier l'exploration des collisionneurs. Ce symposium réunira des chercheurs travaillant sur de nouvelles installations qui permettront d'explorer les frontières de l'énergie. Les thèmes abordés comprendront les motivations théoriques, les développements expérimentaux et les technologies d'accélérateurs qui permettront la prochaine génération d'expériences.

Une partie du symposium sera consacrée à réunir les chercheurs canadiens intéressés à en savoir plus sur le Future Circular Collider (FCC) ou à y contribuer. Ce nouvel accélérateur est conçu pour étendre notre portée avec une sensibilité, une précision et une énergie sans précédent au-delà de l'échelle TeV. Si le CERN et l'Europe poursuivent ce projet, la période 2028-2034 sera cruciale pour établir des collaborations et développer les technologies de détection nécessaires. L'objectif est d'impliquer des chercheurs en science des matériaux, en physique computationnelle, en instrumentation, en technologie des accélérateurs et en théorie et expérimentation des hautes énergies dans la mise en place d'un nouvel effort qui pourrait constituer un élément majeur de la communauté canadienne de physique subatomique.

Convener: Thomas Koffas (Carleton University (CA))

ZOOM

10:15 The FCC Accelerator Proposal (30'+5')

Speaker: Frank Zimmermann (CERN)

FCC-260624_FCC_Zimmermann.pdf

FCC-260624_FCC_Zimmermann.pptx

10:50 The Electron-Ion Collider Accelerator and Physics Program (20'+5')

Speaker: Wouter Deconinck (University Of Manitoba)

Slides

Slides

11:15 Muon Colliders (15'+5')

The Standard Model has been largely discovered and probed through collisions of two types of particles: electrons and protons. Building higher energy colliders with these particles is getting increasingly difficult, in the electron’s case due to its low mass and propensity to radiate energy and in the proton’s case due to the composite nature of the particle. Over the past decades an alternative path has begun to emerge: a collider built utilizing muons could avoid these existing limitations, but of course introduces its own challenging hurdles. This talk gives an overview of the physics possibilities of a muon collider, including the unique probes of new physics such as machine could deliver. A brief overview of the status of the international collaboration working towards such a machine will also be discussed.

Speaker: David Richard Curtin (University of Toronto)

davidcurtin_muon_colliders_CAP_15m_2026.06.24.pdf

11:35 TRIUMF Accelerator Capabilities and Contributions (20'+5')

Speaker: Robert Laxdal

CAP-2026-laxdal-v8.pdf

CAP-2026-laxdal-v8.pptx

10:15 → 12:00 W1-10 SYMPOSIUM: Precision single particle and many-body physics in AMO systems | Physique de précision des particules individuelles et des systèmes à plusieurs corps dans les systèmes AMO

Atomic, Molecular and Optical (AMO) physics has traditionally dealt with single atoms and molecules. As one of the first branches of physics where quantum mechanics was successfully applied, developments over the past one hundred years mean that the quantum states of atoms and molecules can now be controlled and measured with unrivalled precision.   Recent advances in laser pulse shaping and control mean that this level of control can now be brought to bear over quantum many-body quantum states and there is a strong overlap between AMO and solid state physics. This symposium will bring together experts in this area from both the experimental and theoretical points of view.

La physique atomique, moléculaire et optique (AMO) s'est traditionnellement intéressée aux atomes et aux molécules isolés. Comptant parmi les premières branches de la physique où la mécanique quantique a été appliquée avec succès, les progrès réalisés au cours des cent dernières années permettent désormais de contrôler et de mesurer les états quantiques des atomes et des molécules avec une précision inégalée. Les progrès récents en matière de mise en forme et de contrôle des impulsions laser permettent désormais d'appliquer ce niveau de contrôle aux états quantiques à plusieurs corps, ce qui entraîne un chevauchement important entre la physique AMO et la physique des solides. Ce symposium réunira des experts de ce domaine, tant du point de vue expérimental que théorique.

Convener: Kimberley Hall (Dalhousie University)

10:15 Optimized Laser Driving of Bright. Multiplexed Solid-State Quantum Emitters

Sources of single and entangled photons are needed for many areas of quantum photonics, including quantum computation, cryptography, and sensing. Solid-state emitters that may be triggered on-demand are especially promising for long-term scalability and integration with classical communication hardware. Over the past decade, our research group has been developing laser triggering schemes for quantum emitters that ultilize pulse shaping to engineer the light-matter interaction [1-5]. By exploiting amplitude and phase control, we have implemented triggering protocols that are robust to variations in the laser pulse parameters and the optical properties of the emitters themselves [1,3], facilitating commercial implementation using solid-state systems. We have also shown that shaping eases the technical complexity associated with multiplexing in quantum optical systems [5,6] and enables several performance metrics of quantum emitters (brightness, indistinguishability, purity) to be optimized simultaneously [4]. In this presentation, I will highlight our recent experiments pursuing the implementation of our triggering scheme Notch-filtered Adiabatic Rapid Passage (NARP) [4] in single semiconductor quantum dots, including InGaAs quantum dots in planar heterostructures, and InAsP quantum dots in nanowire waveguides.
[1] R. Mathew et al., “Subpicosecond adiabatic rapid passage on a single semiconductor quantum dot: phonon-mediated dephasing in the strong-driving regime”, Phys. Rev. B 90, 035316, 2014.
[2] A. Ramachandran et al., Suppression of decoherence tied to electron–phonon coupling in telecom-compatible quantum dots: low-threshold reappearance regime for quantum state inversion, Optics Letters, 45, 6498 (2020).
[3] A. Ramachandran et al., Experimental quantification of the robustness of adiabatic rapid passage for quantum state inversion in semiconductor quantum dots. Optics Express, 29, 41766 (2021).
[4] G. R. Wilbur et al., “Notch-filtered Adiabatic Rapid Passage for optically driven quantum light sources”, APL Photonics 7, 111302, 2022.
[5] A. Ramachandran et al., “Robust parallel driving of quantum dots for multiplexing of quantum light sources”, Sci. Rep. 14:5356, 2024.
[6] A. Binai Motlagh, et al., “Multi-NARP Laser Driving Scheme for Multiplexed Quantum Networks”, Optica Quantum 3, 461 (2025).

Speaker: Prof. Kimberley Hall (Dalhousie University)

10:45 Many-body quantum physics with an optical centrifuge: spinning particles and quasiparticles in superfluid helium

We use ultrashort laser pulses—including a unique tool known as an optical centrifuge—to coherently control and probe ultrafast, nonequilibrium many-body dynamics in superfluid helium. In this talk, I will present two complementary approaches, recently developed in my group, that exploit strong-field and ultrafast laser techniques to gain new microscopic insight into the remarkable quantum phenomenon of superfluidity.

In the first approach, we use the optical centrifuge to spin up molecules dissolved in liquid helium and investigate the decay of their rotation due to interactions between the molecular rotor and the surrounding quantum bath [1]. The ability to precisely control the rotational frequency of the molecule using tailored laser fields provides a powerful handle for studying how angular momentum and energy are exchanged between a single quantum particle and a many-body environment.

In the second approach, we exploit the high peak intensity of femtosecond laser pulses to coherently launch collective excitations known as rotons. By tracking the nonequilibrium many-body dynamics of these mysterious quasiparticles on a picosecond timescale, we probe the ultrafast response of the superfluid and explore the microscopic origin of its collective behavior from a complementary, previously inaccessible, viewpoint [2].

Taken together, the study of these two objects—laser-driven single molecular rotors and optically generated collective excitations involving many helium atoms—brings us closer to a better microscopic understanding of superfluidity.

1. MacPhail-Bartley I., Milner A. A., Stienkemeier F., Milner V. "Control of molecular rotation in helium nanodroplets with an optical centrifuge. Phys. Rev. Lett, in press (2026).
2. Milner A. A., Stamp P. C. E., Milner V., “Ultrafast non-equilibrium dynamics of rotons in superfluid helium,” PNAS, 120, e2303231120 (2023).

Speaker: Valery Milner (UBC)

11:15 Simulating topological states of matter in atoms

Over the past 30 years, advancements in laser and cooling technology have led to unprecedented control over atomic, molecular, and optical (AMO) systems at the level of single quanta. These innovations have transformed AMO systems into powerful and versatile tools for a wide range of applications, particularly in the field of quantum simulation. In this talk, I will focus on the simulation of topological states of matter. I will draw distinctions between the currently popular approach of using neutral atoms in optical lattices and my own research, which involves replacing spatial degrees of freedom in these simulations with internal atomic states such as spin. New phenomena, such as movable topologically protected states, will be highlighted, and I will conclude by discussing the possibility of such states existing naturally within atoms without the need for engineering.

Speaker: Jesse Mumford (University of Victoria)

10:15 → 12:15 W1-2 SYMPOSIUM: Big Data in Matter, Materials, and Beyond | Le Big Data dans la matière, les matériaux et au-delà

Physics has been an empirical science for centuries, but contemporary data exist in quantities that dwarf Newton’s Principia. Today, marshalling data to distill the understanding to describe emergent behaviours, invent new materials, and develop new solutions for improving technologies and human health requires fundamentally different approaches. This symposium will draw together physicists working across disciplinary borders to forge new approaches to empirical science in the 21st century.

Planned speakers include expertise in machine learning and artificial intelligence, information geometry, big data, and applications in materials, condensed matter, biophysics, and the physics of medicine. In addition, speakers include Canadians currently abroad, foreign physicists near (ish) to Ottawa or with research connections to Canada, and Canadian physicists at diverse career stages. We expect contributed talks and participation from students in condensed matter and beyond with academic and industry interests in machine learning, data science, and applied physics.

La physique est une science empirique depuis des siècles, mais les données contemporaines existent en quantités qui éclipsent les Principia de Newton. Aujourd'hui, rassembler des données pour distiller la compréhension afin de décrire les comportements émergents, inventer de nouveaux matériaux et développer de nouvelles solutions pour améliorer les technologies et la santé humaine nécessite des approches fondamentalement différentes. Ce symposium réunira des physiciens travaillant au-delà des frontières disciplinaires afin de forger de nouvelles approches de la science empirique au XXIe siècle.

Parmi les intervenants prévus figurent des experts en apprentissage automatique et en intelligence artificielle, en géométrie de l'information, en mégadonnées et en applications dans les domaines des matériaux, de la matière condensée, de la biophysique et de la physique médicale. En outre, les intervenants comprennent des Canadiens actuellement à l'étranger, des physiciens étrangers proches (ou presque) d'Ottawa ou ayant des liens de recherche avec le Canada, ainsi que des physiciens canadiens à différentes étapes de leur carrière. Nous attendons des contributions et la participation d'étudiants en matière condensée et au-delà, qui s'intéressent à l'apprentissage automatique, à la science des données et à la physique appliquée dans le milieu universitaire et industriel.

Convener: Greg van Anders (Queen's University)

10:15 Discovery and design of emergent behavior in soft materials

Nature organizes itself with often startling complexity at every length scale accessible to human inquiry, resulting in a wide range of materials with varied structural and dynamical properties. An outstanding current goal of materials science is to harness the often-subtle self-organization displayed by Nature in order to design materials with tailor-made functionalities in the laboratory. This talk will focus on computational efforts, in support of that goal, to understand the emergence of structure and its relationship to dynamics in soft materials on the nano- and micro-scales. I will primarily discuss two recent projects: In the first, we closely examined how bulk structure emerges in a model system of colloidal clusters, thereby uncovering a relationship between interparticle interaction shape and structural evolution. In the second project, we used linear control theory to predict mechanical response in jammed and disordered systems, thereby uncovering an often-obscured relationship between amorphous structure and rearrangement dynamics. This work collectively demonstrates the intertwined relationship between local interaction, local structure, and complex global behavior in soft material systems, and points toward exciting future directions related to the design of that behavior.

Speaker: Erin Teich (Wellesley College)

10:45 Discovering New Spectroscopic Signatures of Polymer Degradation through Deep Generative Modeling of Infrared Imaging Data

Machine learning (ML) and artificial intelligence (AI) approaches are revolutionizing the analysis of large data sets. We are contributing to this effort by applying a deep learning approach to analyzing a very large number of infrared (IR) spectra of polymer cross-linked polyethylene (PEX) pipes that are used in household and industrial applications. This work is at the forefront of the application of ML and AI strategies to the analysis of large data sets, an emerging area at the intersection of physical and data science. As PEX pipes age while in use, they sometimes fail unexpectedly. To gain insight into this phenomenon, we use sophisticated instrumentation, high spatial resolution IR microscopy and atomic force microscopy, accelerated aging, and a deep learning analysis to track the evolution of the polyethylene and the stabilizing additives that are incorporated into the pipes to extend their lifetime. Hyperspectral IR images of pipe cross-sections contain a large amount of spatially resolved information about their chemical composition. However, the analysis of these data for complex heterogeneous systems can be challenging because of spectroscopic and spatial complexity. We implement a deep generative modeling approach using a β-variational autoencoder to learn disentangled representations of the generative factors of variance in our large data set of over 30,000 IR spectra collected on cross-sectional slices of unused virgin and used in-service pipes, both with and without cracks. This approach has allowed us to identify three distinct factors of aging and degradation learned by the model, including one associated with crack formation. We also purposely introduce scratches of adjustable depth along the length of the inner surface of the pipes and then subject the pipes to accelerated aging. Our high-resolution IR images have allowed us to identify a new spectroscopic feature near the apex of the scratches that develops during the aging of the pipes. We identified this new feature, associated with a localized enhancement of carboxylate absorbance, through the observation of a large mean square error when processed with our β-VAE model, demonstrating that deep learning approaches can be used to identify new features in data.

Speaker: John Dutcher

11:15 From Optimization to Emergence: Collective Dynamics in Design and Inference

Optimization has long served as the primary paradigm for inference and design across science and engineering. More recently, machine learning has shifted this picture by trading explicit structure for universality in highly over-parameterized black-box models. Though powerful, over-parameterization obscures the interpretability of individual degrees of freedom, an effect further amplified by optimization. In this talk, I argue for the existence of an enriched perspective in which solutions are not optimized but instead emerge from collective behaviour. I will motivate this framework using an example from topology optimization, where early-stage collective dynamics encode critical design information well before convergence. Using Bayesian statistics, I then show how inference can be reformulated in terms of ensembles, where collective variables emerge naturally from the geometry of over-parameterized models without any a priori assumptions. Finally, I demonstrate how this framework extends to learning in neural networks, state estimation, and parameter identification. The key message is that useful solutions need not be enforced by optimization, but can arise through collective dynamics.

Speaker: Hazhir Aliahmadi (Queens University)

June24_upload.pdf

11:45 Data-centred computational materials physics: reproducible workflows, benchmarking datasets, and high-throughput screening

The discovery of novel materials increasingly relies on first-principles electronic-structure theory, but the value of these predictions depends on their reproducibility and connection to measurable observables. A recent community effort demonstrates that standardized, automated workflows (such as AiiDA) can establish high-precision reference datasets. By cross-validating all-electron calculations for nearly 1,000 equations of state across the periodic table, this effort provides a shared test bed to verify pseudopotential-based approaches [1].

Building on this rigorous foundation, we apply high-throughput screening to resolve physics questions that remain elusive on a material-by-material basis. Utilizing the computational 2D materials database (C2DB), we screened hundreds of stable, nonmagnetic, direct-gap monolayers to determine if reduced dimensionality intrinsically enhances the radiative transition strength. Our analysis identified multiple 2D candidates with transition strengths that rival or exceed those of molybdenum disulfide (MoS2), while establishing the performance limits of monolayers relative to traditional III-V semiconductors like GaAs and GaN [2].

We further anchor these results to experimental benchmarks by examining the accuracy of band structure predictions beyond simple energy gaps. Using a curated dataset of 60 experimental effective masses from 18 semiconductors, we quantify the performance of different exchange-correlation approximations. Our findings highlight that achieving accurate band gaps does not guarantee reliable predictions of band curvature (effective mass) and demonstrate the critical role of nonlocal exchange in capturing the physics of charge carrier transport [3].

These results provide a rigorous framework for high-throughput discovery, ensuring that the next generation of data-driven materials design is anchored in both computational precision and physical reality.

[1] E. Bosoni, …, O. Rubel et al., Nat. Rev. Phys. 6, 45-58 (2024).
[2] A. F. Gómez-Bastidas, K. Sriram, A. C. Garcia-Castro, and O. Rubel, Phys. Rev. B 111, 195426 (2025).
[3] M. Laurien and O. Rubel, Phys. Rev. B 106, 045204 (2022).

Speaker: Oleg Rubel (McMaster University)

PhysRevB.106.045204.pdf

PhysRevB.111.195426.pdf

s42254-023-00655-3.pdf

10:15 → 12:00 W1-3 SYMPOSIUM: Advancing Quantum Simulation based on 2 Dimensional Materials Through Canadian Collaboration | Faire progresser la simulation quantique basée sur les matériaux bidimensionnels grâce à une collaboration canadienne

The field of quantum science and technology, focusing specifically on quantum simulation, deals with the development of novel quantum systems and hardware to realize new approaches to understanding and controlling complex quantum many-body systems on different time and energy scales.

The Programmable Quantum Simulators Based on 2-Dimensional (2D) Materials initiative, supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), is a national-scale research effort uniting three Canadian quantum hubs. The collaboration spans eight research groups across six universities and includes three industry partners. The project is structured around three core goals: design and construct a specialized quantum simulator capable of emulating the complex behavior of quantum systems; implement programmable quantum devices leveraging 2D material-based hardware platforms; and build large-area high-quality 2D materials and theoretical models to enhance the development of quantum devices and their fabrication.

This initiative targets fundamental challenges in quantum phases of matter, including correlated insulators, superconductors, Wigner crystals, topological phases, spin liquids and magnetism. Beyond fundamental science, it holds promise for technological breakthroughs, such as unraveling mechanisms behind high-temperature superconductivity or optimizing the performance of quantum materials (semiconductors, magnets, ferroelectrics, and topological materials) for applications in electronics and optoelectronics. The symposium will bring together Canadian physicists to present the initiative recent advances and ongoing challenges, highlight potential industrial and academic impacts and foster new collaborations within the Canadian quantum research ecosystem.

Le domaine de la science et de la technologie quantiques, qui se concentre spécifiquement sur la simulation quantique, traite du développement de nouveaux systèmes et matériels quantiques afin de mettre en œuvre de nouvelles approches pour comprendre et contrôler des systèmes quantiques complexes à plusieurs corps sur différentes échelles de temps et d'énergie.

L'initiative « Simulateurs quantiques programmables basés sur des matériaux bidimensionnels (2D) », soutenue par le Conseil de recherches en sciences naturelles et en génie du Canada (CRSNG), est un effort de recherche à l'échelle nationale qui réunit trois pôles quantiques canadiens. La collaboration s'étend à huit groupes de recherche dans six universités et comprend trois partenaires industriels. Le projet s'articule autour de trois objectifs principaux : concevoir et construire un simulateur quantique spécialisé capable d'émuler le comportement complexe des systèmes quantiques ; mettre en œuvre des dispositifs quantiques programmables utilisant des plateformes matérielles basées sur des matériaux 2D ; et construire des matériaux 2D de grande surface et de haute qualité ainsi que des modèles théoriques afin d'améliorer le développement et la fabrication des dispositifs quantiques.

Cette initiative cible les défis fondamentaux liés aux phases quantiques de la matière, notamment les isolants corrélés, les supraconducteurs, les cristaux de Wigner, les phases topologiques, les liquides de spin et le magnétisme. Au-delà de la science fondamentale, elle est prometteuse pour des percées technologiques, telles que la découverte des mécanismes à l'origine de la supraconductivité à haute température ou l'optimisation des performances des matériaux quantiques (semi-conducteurs, aimants, ferroélectriques et matériaux topologiques) pour des applications en électronique et en optoélectronique. Le symposium réunira des physiciens canadiens qui présenteront les progrès récents et les défis actuels de l'initiative, mettront en évidence les impacts potentiels sur l'industrie et le monde universitaire et favoriseront de nouvelles collaborations au sein de l'écosystème canadien de recherche quantique.

Convener: Peter Grutter (Dep. of Physics)

10:15 First-principles tools for the geometric and angular characterization of Bloch states

Our group develops open-source software (BerryPI, BerryCPT) for geometric and angular characterization of Bloch states. The capabilities enable determination of topological invariants ($Z_2$) [Comp. Phys. Commun. 292, 108864 (2023)], Weyl node chirality [Comp. Phys. Commun. 270, 108147 (2022)], as well as band- and $k$-resolved (spin) Berry curvature and orbital angular momentum. The software interfaces directly with solid-state density-functional theory packages (WIEN2k and VASP) and avoids constructing maximally localized Wannier functions. To support direct comparison of calculated electronic structure with photoemission spectra, we also provide the fold2Bloch package, a general band-unfolding code that maps supercell eigenstates onto primitive-cell Bloch character and yields unfolded spectral weights along arbitrary $k$-paths for comparison with ARPES measurements [Comp. Phys. Commun. 291, 108800 (2023)]. In this presentation, we will highlight several illustrative applications of these tools to current problems in quantum and topological materials, with emphasis on momentum-resolved signatures that can guide and interpret experiments.

Speaker: Oleg Rubel (McMaster University)

10:30 Ground state properties of twisted multilayer graphene

Multi-layer moiré materials offer a tunable platform for realizing electronic systems with strong electron correlations and topologically nontrivial states. We focus here on magic angle twisted trilayer graphene, exhibiting a flat band around the Fermi energy. In this work we determine the electronic properties of this platforms using an ab initio based, multi-million atomistic pz tight-binding model. The electron-electron interactions are accounted for on the mean field level, using self-consistent Hartree-Fock (HF) method and realistic Coulomb matrix elements. The HF orbitals are obtained by expanding them in Bloch function for each sublattice containing a carbon atom in a unit cell and diagonalising the large Hamiltonian matrix for each allowed wavevector self-consistently. This enable to determine the magnetic and topological properties of this system as a function of the filling factor, interaction strength, vertical electric field and presence of an hBN substrate. From Berry curvature of HF orbitals we determine plausible conditions for the system to exhibit integer and fractional topological phases.

Speaker: Alina Wania Rodrigues (University of Ottawa)

abstract_13Jan2026.docx

10:45 High-throughput growth and characterization of MOCVD thin films – a new Canadian quantum materials innovation facility

Two-dimensional van der Waals quantum matter (2DQM) are promising candidates for a host of desirable opto-magneto-thermo-electronic-acoustic applications. Their coveted technological deployment beyond research laboratory environment, however, hinges on the capabilities of fabricating high-quality reproducible materials and devices on a wafer scale. Successful synthesis of 2DQM requires a high degree of control over nucleation, growth, polymorphism, stacking, twisting, heterostructure and interfacial coupling. Here we show that our new 2DQM Facility at the University of Ottawa, featuring a state-of-the-art AIXTRON metal-organic chemical vapor deposition (MOCVD) system, is well suited for the growth and rational integration of graphene, boron nitride and transition metal dichalcogenides. Synergistic characterizations, comprehensively leveraging atomic force microscopy, photoluminescence and Raman spectroscopies, and transport probes, allow for high-throughput materials optimization and accelerated discovery. Our 2DQM Facility (https://2dqm.uottawa.ca/) bodes particularly well for supplying Canadian academic and industry researchers the much-needed high-quality 2DQM, contributing to sustained breakthroughs in quantum materials innovation.

Speaker: Ryan Plumadore

11:00 Emergent spin–topology coupling at the CrSb/(Bi,Sb)2Te3 altermagnet interface

The discovery of altermagnetism has introduced a new class of collinear antiferromagnets that simultaneously exhibit zero net magnetization and a large, momentum-dependent spin splitting of electronic bands from crystal and spin-group symmetries. This non-relativistic splitting, distinct from ferromagnets and conventional antiferromagnets, enables spin-transport phenomena without stray magnetic fields. Among known altermagnets, CrSb is especially attractive due to its large exchange-driven spin splitting near the Fermi level and high Néel temperature, making it a promising candidate for room-temperature spintronic and topological applications.

Topological insulators such as (Bi,Sb)2Te3 host Dirac surface states with spin–momentum locking protected by time-reversal symmetry. Bringing these materials together raises important questions about the fate of topological surface states when interfaced with a magnetic system that breaks time-reversal symmetry while maintaining zero net magnetization. We present a first-principles density functional theory study of the CrSb/(Bi,Sb)2Te3 heterointerface, aimed at understanding the interplay between altermagnetic order and topological states.

Our study focuses on symmetry reduction, electronic hybridization, and spin texture at the interface, emphasizing on how the momentum-dependent spin splitting of CrSb couples to the Dirac surface states of (Bi,Sb)2Te3 through proximity effects. Unlike ferromagnetic heterostructure, the altermagnetic CrSb/(Bi,Sb)2Te3 interface provides a platform to explore magnetic–topological coupling without macroscopic magnetization, offering a route toward symmetry-controlled and spin-polarized interface states.

This work lays the theoretical groundwork for altermagnet–topological insulator heterostructures and highlights their potential for realizing novel spin–topology phenomena relevant to antiferromagnetic spintronics, topological transport, and interface-engineered quantum states.

The research was support by Canada Research Chairs (CRC) Program, NSERC Discovery Grant RGPIN-2024-06497, ARO Grant Number W911NF-25-1-0215, Canada Foundation for Innovation (CFI), Ontario Research Fund (ORF), Compute Ontario and Digital Research Alliance of Canada.

Speaker: Vikas Saini (Department of Physics, University of Ottawa, Ottawa, Ontario, K1N 6N5, Canada)

Abstract_CAP_Vikas_Saini_Jan14 HC.docx

11:15 Majorana Fermions in semiconductor-superconducting quantum dots with Rashba SOC and magnetic field

Semiconductor–superconductor nanowires are intrinsically spinful and cannot, in general, be reduced to a single spinless Kitaev chain. We show that such systems are naturally described as two coupled $p$-wave (Kitaev-like) chains associated with different spin sectors. Using bond Fermion formulation and exact diagonalization, we analyze parity resolved spectra and local spectral functions, demonstrating that a zero-energy mode emerges only in one effective chain and is strongly localized at the system boundaries, while the bulk remains gapped. Inter-chain coupling lifts parity degeneracy and redistributes low-energy spectral weight, providing a controlled framework to assess the stability of Majorana like modes in finite spinful nanowires.

Speaker: Mijanur Islam (Post Doctorate fellow, University of Ottawa)

11:30 Topological signatures in the built-in potential of Chern insulator junctions

Understanding the interplay between electronic topology and electrostatics is essential for the development of quantum devices based on topological materials. Here, we investigate how topological properties, in particular the Chern number, influence the electrostatic profile of Chern-insulator junctions in the presence of a magnetic field.

Combining Landau-level and semiclassical approaches, we derive analytical expressions revealing that the built-in potential of a Chern-insulator junction is governed by the change in the Chern number across the junction. Large-scale tight-binding simulations of the Haldane model validate this prediction quantitatively. Thus, electronic topology and magnetic fields can be used as knobs to tailor electrostatic landscapes in microelectronic devices.

Speaker: Ion Garate (Université de Sherbrooke)

Ottawa_2026.pdf

10:15 → 12:00 W1-4 SYMPOSIUM: Novel Imaging of the Retina of the Eye | Nouvelle imagerie de la rétine de l'œil

This special Symposium is to recognize the impactful research and training undertaken by Prof. Kostadinka Bizheva, of the Department of Physics and Astronomy, University of Waterloo. Prof. Bizheva recently passed away, at the height of her career. Prof. Bizheva’s research has had and will continue to have a substantial impact on the development of optical coherence tomography for high resolution imaging of the retina and the diagnosis and tracking of eye diseases. In addition, Prof. Bizheva had a tremendous impact on her many graduate students, to whom she provided unwavering support. Invited speakers will present the novel methods and the resulting impacts on the diagnosis and treatment of eye and other diseases. The Symposium will allow researchers, postdoctoral fellows, and graduate students to gather in Prof. Bizheva memory while celebrating the use of novel physics techniques for diagnostic imaging, including those advanced by her research.

Ce symposium spécial vise à reconnaître l'importance des travaux de recherche et de formation menés par la professeure Kostadinka Bizheva, du département de physique et d'astronomie de l'Université de Waterloo. La professeure Bizheva est récemment décédée, au sommet de sa carrière. Ses travaux de recherche ont eu et continueront d'avoir un impact considérable sur le développement de la tomographie par cohérence optique pour l'imagerie haute résolution de la rétine et le diagnostic et le suivi des maladies oculaires. De plus, le professeur Bizheva a eu une influence considérable sur ses nombreux étudiants diplômés, auxquels elle a apporté un soutien indéfectible. Les conférenciers invités présenteront les nouvelles méthodes et leurs répercussions sur le diagnostic et le traitement des maladies oculaires et autres. Le symposium permettra aux chercheurs, aux Fellows postdoctoraux et aux étudiants diplômés de se réunir en mémoire du professeur Bizheva tout en célébrant l'utilisation de nouvelles techniques physiques pour l'imagerie diagnostique, notamment celles mises au point grâce à ses recherches.

Convener: Melanie CW Campbell (University of Waterloo)

10:15 Advancing Retinal Imaging with Optical Coherence Tomography: From Morphology to Neurovascular Coupling

The retina is a highly metabolically active neural tissue in which the neuronal and vascular components work together to meet the high metabolic demands through a phenomenon known as neurovascular coupling. Neurodegenerative diseases such as glaucoma, age-related macular degeneration, retinitis pigmentosa have been linked with disruption of this phenomenon. Understanding these alterations at a cellular level requires imaging tools capable of resolving both structure and function in vivo.

Over the past few decades, Optical Coherence Tomography (OCT) has transformed retinal imaging by enabling non-invasive, depth-resolved imaging of the retina. Early applications focused on structural characterization of retinal layers and quantitative assessment of pathological changes in retinal neurodegenerative diseases. These advances established OCT as an indispensable clinical and research tool.

Building on this structural foundation, more recent developments have extended OCT beyond morphology toward functional imaging. Doppler OCT enabled quantitative assessment of retinal blood flow and provided new insights into vascular regulation. More recently, optoretinography (ORG) has emerged as a powerful approach for detecting stimulus-evoked intrinsic optical signals associated with neuronal activation, allowing direct, non-invasive measurement of retinal function in vivo.

This talk will trace the progression of retinal imaging from structural characterization to the investigation of retinal dynamics, highlighting advances in OCT-based techniques that bridge morphology, vascular physiology, and neuronal activity. Particular emphasis will be placed on recent work examining stimulus-evoked retinal blood flow changes and their relationship to neurovascular coupling, demonstrating how modern OCT approaches can probe functional hyperemia in the living human retina.

Together, these advances illustrate the continuing evolution of OCT from structural imaging to a powerful platform for probing retinal physiology in vivo.

Speaker: Khushmeet Kaur Dhaliwal (University of Waterloo)

10:45 In vivo cellular-scale imaging of fluorophores in the living retina

Many cells in the retina can contain metabolic and visual cycle molecules with intrinsic fluorescent properties. As a result, adaptive optics single- and two‑photon excited fluorescence ophthalmoscopy offer powerful approaches for examining in vivo the health and function of individual retinal cells. By analyzing both the fluctuations in fluorescence intensity and their timing characteristics, these modalities can provide insight into cellular physiology. Differences observed in time‑resolved fluorescence images reflect the diverse fluorescent sources present across various retinal cell types.

In non‑human primates, two‑photon excited fluorescence signals change in response to visual stimulation and show distinct alterations in models of retinal degeneration and during systemic hypoxia. In human participants, single-photon fluorescence enables visualization of cellular mosaics and detection of molecular variations. Furthermore, in preclinical studies, the introduction of extrinsic fluorophores into cells allows these molecules to serve as optical reporters of retinal function.

Speaker: Jennifer Hunter (University of Waterloo)

11:15 Oz Vision: An Advanced Display Platform for Basic and Clinical Vision Science

Oz Vision is a new principle for visual display in which individual photoreceptors are directly stimulated to generate visual experience. An Oz Vision display bypasses constraints such as image formation by the eye’s optics and even the spectral sensitivities of the photoreceptors. To implement this principle, we use an adaptive optics scanning light ophthalmoscope (AOSLO), which corrects optical aberrations and enables precise delivery of light to targeted cone photoreceptors. The scanning architecture allows high-speed retinal imaging and tracking, as well as the delivery of carefully controlled microflashes to each cone across the region of the retina encompassed by the display. The display is small -- about twice the width of the full moon -- but can contain over 5,000 cones. This system enables new ways to study visual perception in both healthy and diseased eyes. We demonstrate two applications of Oz Vision: first, the generation of color sensations that lie outside the normal human color gamut; and second, the ability to test the perceptual consequences of cone loss—such as in retinal degenerative disease—by emulating specific patterns of photoreceptor loss in otherwise healthy observers.

Speaker: Prof. Austin Roorda (University of Waterloo)

11:45 In vivo imaging of retinal protein deposits in human retina as biomarkers of Alzheimer’s Disease and other neurodegenerative diseases

Introduction: We have previously demonstrated ex vivo, dye-free imaging of retinal protein deposits in the human retina which predict the presence of deposits in the brain of: 1) amyloid beta in association with Alzheimer’s disease (AD), 2) alpha synuclein in association with Dementia with Lewy Bodies (DLB) and Multiple System Atrophy (MSA) and 3) TDP-43 in association with ALS and FTLD-TDP. Postmortem, the number of deposits found in retinas with an associated brain pathology of AD predicted severity of the disease. In AD, retinal and brain deposits are found years before diagnosis. Here, we use polarized light to image protein deposits in the retina of the living eye.

Methods: A custom module was added to the front of a commercial retinal imaging system, which produced circularly polarized light incident on the eye. Light reflected from the retina exited the eye, was incident on the quarter wave plate followed by a linear polarizer and was recorded at 30 frames/sec. The individuals imaged included 1 with a diagnosis of AD, 1 over 65 with a family history of AD, 1 diagnosed with age related macular degeneration (AMD) and 1 who had no history of AD or AMD.

Results: In the individuals with either a family history of the disease or a diagnosis of AD, deposits, consistent with Alzheimer’s disease (and similar to those imaged ex vivo), were imaged in the anterior (neural) layers of the retina. One had numerous deposits and one had sparse deposits consistent with early Alzheimer’s disease pathology. Three individuals had deposits located in the more posterior layers of the retina, consistent with AMD.

Conclusion: This Imaging method would be the only dye-free, non-invasive, inexpensive and widely available diagnostic of pathology due to Alzheimer’s and other neurodegenerative diseases. It could facilitate early interventions known to slow diseases progression.

Speaker: Lyndsy Acheson (University of Waterloo)

10:15 → 12:00 W1-5 SYMPOSIUM: Private Sector Physics | Physique du secteur privé

Over 75% of physics graduates work in the private sector and government labs and institutions. Young physicists, or those interested in learning about physics career paths outside academia, are encouraged to attend this interactive symposium, which will provide insights into the careers of private sector physicists and offer insights and advice into the possible pathways and training needed to transition your physics training into an engaging and rewarding career beyond academia. Included in the symposium day schedule is an interactive Panel Session, hosted by the Director of Private Sector Physics, where you can learn more about the people and their careers as private sector and institutional physicists.

Plus de 75 % des diplômés en physique travaillent dans le secteur privé ainsi que dans des laboratoires et des organismes publics. Les jeunes physiciens, ou ceux qui souhaitent en savoir plus sur les carrières en physique en dehors du milieu universitaire, sont encouragés à participer à ce symposium interactif, qui leur permettra de découvrir les carrières des physiciens du secteur privé et leur fournira des informations et des conseils sur les parcours possibles et la formation nécessaire pour transformer leur formation en physique en une carrière passionnante et enrichissante en dehors du milieu universitaire. Le programme de la journée comprend une table ronde interactive, animée par le directeur de Private Sector Physics, au cours de laquelle vous pourrez en apprendre davantage sur les personnes et leurs carrières en tant que physiciens du secteur privé et du secteur institutionnels.

Invited speakers in this session:

Andrew Macdonald, Director, AI and Autonomy, Mission Control
Neil Rowlands, Engineering Fellow, Honeywell Aerospace
Chris Howard, Manager, Radiation Systems and Control, Nordion
Dylan Linthorne, Data Scientist, Spotify
Phil Kaye, Chief Partner Officer, 1QBit

Conveners: Daniel Cluff, Ian D'Souza

10:15 Andrew Macdonald, Director, AI and Autonomy, Mission Control

10:30 Neil Rowlands, Engineering Fellow, Honeywell Aerospace

10:45 Chris Howard, Manager, Radiation Systems and Control, Nordion

11:00 Dylan Linthorne, Data Scientist, Spotify

11:15 Phil Kaye, Chief Partner Officer, 1QBit

10:15 → 12:00 (DPP) W1-6 Fundamental Plasmas Theory & Experiment | Théorie et expérimentation des plasmas fondamentaux (DPP)

Convener: Emile Carbone (Institut National de la Recherche Scientifique)

10:15 From Micro-Scale Instabilities to Anomalous Macroscopic Transport: A High-Fidelity Kinetic Numerical Approach

Electron and ion transport in non-equilibrium plasmas is inherently complex, exhibiting intricate behavior across both spatial and temporal scales. The Particle-In-Cell (PIC) method is one of the most widely used approaches in plasma physics, as it is the closest to first principles and requires very few input parameters, enabling simulations to self-consistently reach a steady state that closely reflects physical reality. It is well established that satisfying the PIC stability criteria — Δx<λD, Δt < min (0.2 x ωpe-1, Δx /vmax), NPPC sufficiently large — is mandatory to obtain stable and physically meaningful results, where Δx, λD, Δt, ωpe, vmax, and NPPC denote the mesh size, Debye length, time step, plasma frequency, velocity of the fastest macro-particle, and number of macro-particles per cell, respectively.
However, when plasma transport is governed by turbulence or strong instabilities, merely satisfying these criteria at their margins proves insufficient. In this work, we demonstrate that sub-Debye length refinement of the spatial grid combined with high-order shape functions is essential to capture important physical effects and transport mechanisms that are systematically overlooked when first order shape functions with marginally fulfilled PIC criteria are used instead. This finding represents a paradigm shift in quantitative PIC modelling. To support this claim, we compare two typical cases: (i) electropositive, (ii) electronegative plasmas. For both situations, 1D and 2D simulations have been carried out. Remarkable differences occur in the charged particle transport and especially the micro instabilities. In the light of these results, the numerical approach used to simulate plasmas is crucial to capture the anomalous transport.

Speaker: Prof. Loïc SCHIESKO (CEA)

10:45 Single-shot reconstruction of electron beam longitudinal phase space

Laser and plasma wakefield accelerators are promising for many applications such as future TeV electron-positron colliders and X-ray free electron lasers (XFELs). These applications, generally, require high beam quality in terms of energy spread, emittance, shot-to-shot stability, etc. To achieve high beam quality, one has to precisely diagnose the beam dynamics during acceleration. This is difficult owing to the highly nonlinear acceleration process and the sub-µm, sub-fs spatial-temporal diagnostic requirements. Here, we report on a single-shot longitudinal phase-space reconstruction diagnostic for electron beams in a laser wakefield accelerator via the experimental observation of distinct periodic modulations in the angularly resolved spectra. Such modulated angular spectra arise as a result of the direct interaction between the ultra-relativistic electron beam and the laser driver in the presence of the wakefield. A constrained theoretical model for the coupled oscillator, assisted by a genetic algorithm, was used to recreate the experimental electron spectra and fully reconstruct the longitudinal phase-space distribution of the electron beam with a temporal resolution of ∼1.3 fs. In particular, it revealed the slice energy spread of the electron beam, which is important to measure for applications such as XFELs. In our experiment, the root-mean-square slice energy spread retrieved is bounded at 9.9 MeV, corresponding to a 0.9-3.0% relative spread, despite the overall GeV energy beam having ∼100% relative energy spread. Particle-in-cell simulations demonstrate that our method also applies for electron beams from traditional accelerators. We show that periodically modulated electron spectra can be induced via either direct laser-electron interaction in vacuum or in a beam-driven plasma wakefield accelerator.

Speaker: Yong Ma (University of Michigan)

11:15 Advances in Plasma-Based Waste Treatment

This talk presents advanced approaches for plasma-based waste treatment. Different designs of plasma torches and generation systems are discussed, including RF, DC, and MW plasma, are analysed and compared for waste-to-energy and radioactive waste treatment applications. Novel plasma torch design is proposed to support different scales and types of waste treatment. Process engineering techniques for gasification and pyrolysis process are integrated with the radioactive waste treatment process, which are illustrated with waste characterization. The proposed approaches showed reduced waste treatment costs, risks, volumes, in addition to reduced greenhouse gas emissions and improved lifecycle performance. Plasma systems are utilized for nuclear and municipal waste treatment with analysis of different waste categories and types. Process design is discussed for plasma torch that can reduce the volume and lifecycle cost of waste processing. Simulation methods and experimental setups demonstrate lab-scale process technologies for plasma-based waste treatment.

Speaker: Prof. Hossam Gaber (Ontario Tech University)

11:45 DRAGONS: New Insights into Galactic Magnetism

Magnetic fields are an essential component for life. Without magnetic fields, the Earth would be irradiated by the Solar wind, and the Galaxy would collapse under gravitational pressure. While we have known for ~2000 years that the Earth has a magnetic field, the idea of a Galactic magnetic field (GMF) was first proposed less than 90 years ago. Our work has been focused on understanding what the GMF looks like today, which will provide critical constraints in understanding how the GMF originally formed and how it is evolving.

In the late 1970s and early 1980s, a magnetic shear (reversal) was identified between the local spiral arm and the next inner arm of our Galaxy (Sagittarius arm). Identifying additional reversals became the objective for many GMF studies since the number and location of these reversals could help determine the likely galactic dynamo mode(s) at work in the Milky Way. The new DRAGONS radio polarization data, observed at the Dominion Radio Astrophysical Observatory in Penticton, British Columbia, are providing new clues about the GMF within 5000 lightyears of the Sun. I will share these latest results, which suggest a remarkable similarity to the Solar magnetic field.

Speaker: Jo-Anne Brown

10:15 → 12:00 W1-7 SYMPOSIUM: Q-STATE - Quantum Breakfast

Q-STATE, offered through the Division of Quantum Information (DQI) in collaboration with the Division of Physics Education (DPE) and the Private Sector Relations Committee, is an event by and for the CAP community to learn about current directions in the field and the unique Canadian quantum landscape.
This morning session will be our annual social, and include a review of the International Year of Quantum (IYQ) that we celebrated throughout 2025. We invite participants to mingle, enjoy the creations from the IYQ design and arts competitions, play quantum games to win classical prizes, and have quantum breakfast.

Convener: Daria Ahrensmeier

10:15 This morning session will be our annual social, and include a review of the International Year of Quantum (IYQ) that we celebrated throughout 2025. We invite participants to mingle, enjoy the creations from the IYQ design and arts competitions, play quantum games to win classical prizes, and have quantum breakfast.

10:15 → 12:00 (DTP) W1-8 Mathematical Physics and Quantum Theory | Physique mathématique et théorie quantique (DPT)

Convener: Prof. Hari Kunduri (McMaster University, Mathematics and Physics)

10:15 xCPS: A Computational Toolkit for Covariant Phase Space Methods

The covariant phase space (CPS) formalism provides a geometric framework to derive equations of motion and endow the space of solutions with a symplectic structure. This variational approach additionally provides Noether charges and plays a central role in modern gravitational physics and gauge theories. Despite its conceptual elegance, explicit computations in physically relevant models (particularly in gravitational theories with higher-derivative or non-minimal couplings) can become technically demanding and error-prone.

In this talk, after a brief introduction to the the CPS formalism, I will present xCPS, a Mathematica package designed to automate the covariant phase space formalism for general Lagrangian field theories. The package computes equations of motion, presymplectic potentials, symplectic currents, Noether currents and charges, and related geometric structures in a fully covariant manner. I will conclude with some interesting examples.

Speaker: Juan Margalef (Université de Montréal)

10:45 Bosonization of Noise Effects on Nonlocal Open Quantum Dynamics

Quantum systems that interact non-locally with an environment are paradigms for exploring collective phenomena. They naturally emerge in various physical contexts involving long-range,vmany-body interactions. We consider a general class of such open systems characterized by a coupling to the environment which is inversely proportional to the square root of the environmentvsize. We demonstrate that the effect on the system dynamics has a universal bosonic character.vSpecifically, the same system dynamics is produced by the interaction with an environment of non-interacting bosonic modes, regardless of the microscopic details of the original environment. This emergent ‘bosonization’ of the environment’s influence results from the scaling of the coupling in
the thermodynamic limit and is a manifestation of the quantum central limit theorem. While the effect has been observed in specific models before, we show that it is, in fact, a universal feature.

Speaker: Marco Merkli

PRL2026.pdf

Slides Marco Mekrli DTP W1-8.pdf

11:00 Bridging the Gap between Classical and Quantum Mechanics through General Relativity.

This paper proposes a conceptual framework to bridge the gap between classical and quantum mechanics using an emergent paradigm that positions general relativity into a probabilistic context. Starting from an analogy between Einstein equations and Bayes law, the linear case of a weak field static symmetric massive object is analyzed to point out how Einstein’s equation could incorporate a quantum mechanical concept, a weighting factor that considers the probability of the presence of a given energy-momentum density in a 4D space-time manifold. Using the Central Limit Theorem to model globally the very slow process of star formation and mathematically express the corresponding density function, the new framework provides a rationale for the emergence of a modified Newton’s law of gravitation, the classical inverse square function weighted by an exponential probabilistic factor. One key feature of this model is that it relies on the existence of an intrinsic physical constant , a star-specific proper length that scales all its surroundings and plays the role of a hidden variable to link classical and quantum mechanics. Incorporating the corresponding emergent erfc potential into a Schwarzchild spacetime metric, the constant component of the erfc potential makes the universal coordinate time smaller than the proper time of an observer at rest. On the one hand, the real roots of the binomial condition that makes the erfc metric identical to a Minkowskian one predicts the splitting of the speed of light into two components: the speed with respect to a fixed space-time and an apparent spacetime expansion. On the other hand, the imaginary roots predict the emergence of a complex spacetime where quantum phenomena arise, governed by the Schrodinger equation, providing, among other things, new interpretations to the wave particle duality and the photon entanglement.

Speaker: Prof. Réjean Plamondon

classical and quantum emergence.nettoyé.pdf

11:15 Time-Symmetric Nonlinear Dynamics and the Emergence of Objective Wavefunction Collapse in Strongly Correlated t-U-V-J Manifolds

In this study, we propose a unified theoretical framework for objective wavefunction collapse by situating non-linear quantum dynamics within a time-symmetric manifold. Utilizing the Highly Simplified Correlated Variational Approach (HSCVA), we map the t-U-V-J Hamiltonian of strongly correlated electronic systems onto a non-linear temporal landscape. We introduce the Extended Dirac Principle of Temporal Superposition, wherein the non-linearity of the potential induces a bifurcation of time-evolution trajectories into discrete "time-branches." To quantify the transition from quantum unitary evolution to classical state reduction, we derive a Unified Collapse Metric (UCM) which synthesizes soliton persistence, fidelity saturation and Aharonov-Bergmann-Lebowitz (ABL) symmetry variance. Our simulation of $YBa_2Cu_3O_{7-\delta}$ (YBCO) demonstrates that objective collapse is an emergent property of the system's own electronic interactions, specifically the U and J terms which act as an intrinsic observation mechanism. By integrating forward- and backward-evolving states through the ABL formalism, we show that the collapse event corresponds to the point where time-symmetry breaks, providing a dynamical origin for the macroscopic arrow of time.

Speaker: Prof. Godfrey Ejiroghene Akpojotor (Delta State University, Abraka, Nigeria)

10:15 → 12:00 (DNP) W1-9 Fundamental Symmetries | Symétries fondamentales (DNP)

Convener: Barry Davids (TRIUMF)

10:15 The search for highly-forbidden nuclear decays.

The measurement of nuclear physics parameters has recently become increasingly important for the fields of geochronology, nuclear physics, and particle astrophysics. This is especially true for highly-forbidden decays, which typically can have a very long, greater than one billion years, half-life. Experimental validation of these decays can allow us to understand their complex nuclear-structure effects, any quenching of the weak axial-vector coupling, their prominence as a background for rare-event searches and their relevance for 0νββ experiments. However, although the long half-life makes these isotopes interesting, it also makes them very challenging to measure. This presentation will detail the motivation behind measuring these isotopes as well as go over recent experimental efforts to measure these decays, including: the RadioActive isotope Measurement Program at SNOLAB (RAMPS), KDK+ and Lutetium sCintillation Experiment (LUCE).

Speaker: Dr Matthew Stukel (SNOLAB)

Stukel_CAP_2026.pdf

10:45 Development and testing of the TUCAN superfluid He-II based ultra cold neutron source at TRIUMF

The TRIUMF Ultra Cold Advanced Neutron (TUCAN) Collaboration has built and tested an ultracold neutron (UCN) source based on superthermal downscattering in isopure superfluid Helium-4. During recent commissioning beamtimes the collaboration demonstrated a record storage density in a prototype EDM storage volume. This new UCN source will serve fundamental physics experiments, including an experiment to search for the electric dipole moment of the neutron (nEDM).

The TRIUMF main cyclotron produces 483 MeV protons, which are directed into a tungsten spallation target. The resulting spallation neutrons are moderated first by room-temperature D2O, then by liquid deuterium (LD2) at 25 K before they reach the production volume, which is filled with $\approx$~28 liquid litres of isopure He4 at nearly 1 K. At this temperature, the superfluid component of the helium (He-II) has a phonon excitation mode that is close in energy to the peak thermal energy of the LD2-moderated neutrons. As the (now) cold neutrons excite this phonon mode in the He-II, they lose almost all their kinetic energy, becoming UCN with kinetic energy $<$ 300 neV. The UCN can then be directed to experimental apparatus via specially coated guides as one would direct a gas.

This presentation will go over the latest results and current status of both the TUCAN source and the nEDM experiment.

Speaker: Mr Wolfgang Klassen (University of British Columbia)

TUCAN_Invited_CAP2026_WK_v3.pdf

11:15 Magnetic Field Characterisation for Gravitational Free Fall Measurements of Antihydrogen in the ALPHA-g Experiment

The comparison of matter and antimatter provides one of the most sensitive tests of fundamental physics, yet until recently the gravitational behavior of antimatter had never been directly observed. For charged antimatter particles, gravitational forces are dwarfed by electromagnetic effects, making such measurements impractical. Antihydrogen—the electrically neutral bound state of an antiproton and a positron—overcomes this limitation and can be routinely produced, trapped, and studied by the ALPHA collaboration at CERN.
While ALPHA was originally designed for precision laser spectroscopy of antihydrogen, the dedicated vertical apparatus ALPHA-g was commissioned to enable measurements of gravitational effects. In this talk, I will present the first experimental observation of the influence of gravity on antihydrogen atoms [1], together with a detailed discussion of systematic studies of the magnetic field based on electron-cyclotron-resonance (ECR) magnetometry. These measurements are essential for controlling and characterizing the dominant non-gravitational forces acting on trapped antihydrogen.
I will conclude with an update on the current performance of ALPHA-g and an outlook on future experimental programs aimed at improving the precision of antimatter gravity measurements.

1. E. K. Anderson et al., “Observation of the effect of gravity on the motion of antimatter,” Nature 621, 716–722 (2023).

Speaker: Adam Powell (CERN)

12:00 → 13:30 BSPC Judges Meeting | Réunion des juges de la CMPE

Chaired by Cornelia Hoehr - CLOSED EVENT

12:00 → 13:30 Break for Lunch (12h00-13h30) | Pause pour dîner (12h00-13h30)

Tickets must have been pre-purchased

12:00 → 13:30 CAP/NSERC New Faculty Lunch | Déjeuner des nouveaux enseignants ACP/CRSNG

13:30 → 14:00 W-MEDAL1 Brockhouse Medalist Talk | Conférence du lauréat de la médaille Brockhouse - Young-June Kim

Convener: Stephen Julian (University of Toronto)

13:30 Peering into quantum materials with X-ray and neutron

Interacting electrons in quantum materials can give rise to new emergent properties that may be harnessed in future quantum technologies. One example is the quantum spin liquid, an elusive state of matter that can host fractionalized excitations with potential applications in quantum computing. Neutron and X-ray scattering play an essential role in probing such excitations in quantum materials. In particular, a spectroscopy technique called Resonant Inelastic X-ray Scattering (RIXS) has proven crucial for studying magnetic properties in materials with strong spin–orbit coupling, such as iridates and ruthenates. These materials have attracted significant interest because they can host bond-dependent magnetic interactions, known as Kitaev interactions, which are a key ingredient for realizing a Kitaev quantum spin liquid. Among candidate materials, alpha-RuCl3 is considered especially promising. In this talk, I will discuss our investigation of its magnetic, electronic, and structural properties using X-ray and neutron scattering techniques.

Speaker: Young-June Kim (University of Toronto)

14:00 → 14:15 Travel Time | Déplacement

14:15 → 15:45 W2-1 SYMPOSIUM: Future Particle Physics Energy Frontier Facilities | Installations futures à la pointe de la physique des particules

With the discovery of the Higgs boson the Standard Model is now complete. Yet key questions remain unanswered: the matter–antimatter asymmetry, the nature of dark matter and the origin of neutrino masses. Addressing these requires physics beyond the Standard Model and motivates intensified collider exploration. This symposium will bring together researchers working on new facilities that will enable exploration of the energy frontier. Discussion topics will include theory motivations, experimental developments, and accelerator technologies that enable the next generation of experiments.

A portion of the symposium will be dedicated to convene Canadian researchers interested in learning about or contributing to the Future Circular Collider (FCC). This new accelerator is designed to extend our reach with unprecedented sensitivity, precision, and energy beyond the TeV scale. If pursued by CERN and Europe, 2028–2034 will be a critical period for building collaborations and developing the required detector technologies. The goal is to engage researchers in material science, computational physics, instrumentation, accelerator technology and high energy theory and experiment in shaping a new effort that could be a major part of Canada’s subatomic physics community.

Avec la découverte du boson de Higgs, le Modèle standard est désormais complet. Cependant, des questions fondamentales restent sans réponse : l'asymétrie matière-antimatière, la nature de la matière noire et l'origine des masses des neutrinos. Pour y répondre, il faut aller au-delà du Modèle standard et intensifier l'exploration des collisionneurs. Ce symposium réunira des chercheurs travaillant sur de nouvelles installations qui permettront d'explorer les frontières de l'énergie. Les thèmes abordés comprendront les motivations théoriques, les développements expérimentaux et les technologies d'accélérateurs qui permettront la prochaine génération d'expériences.

Une partie du symposium sera consacrée à réunir les chercheurs canadiens intéressés à en savoir plus sur le Future Circular Collider (FCC) ou à y contribuer. Ce nouvel accélérateur est conçu pour étendre notre portée avec une sensibilité, une précision et une énergie sans précédent au-delà de l'échelle TeV. Si le CERN et l'Europe poursuivent ce projet, la période 2028-2034 sera cruciale pour établir des collaborations et développer les technologies de détection nécessaires. L'objectif est d'impliquer des chercheurs en science des matériaux, en physique computationnelle, en instrumentation, en technologie des accélérateurs et en théorie et expérimentation des hautes énergies dans la mise en place d'un nouvel effort qui pourrait constituer un élément majeur de la communauté canadienne de physique subatomique.

Convener: Maximilian J Swiatlowski (TRIUMF (CA))

ZOOM

14:15 Theory motivations for future colliders (15'+5')

Speaker: Daniel Stolarski (Carleton University)

CAP26Colliders.pdf

14:35 The integrated physics program of FCC-ee and FCC-hh (25'+5')

This talk will present the physics reach of the integrated Future Circular Collider program, combining a high-luminosity electron–positron collider (FCC-ee) with a subsequent 85 TeV proton–proton collider (FCC-hh) into a coherent long-term strategy to probe the Standard Model and search for new phenomena. The focus will be on Higgs physics at FCC-ee, where the clean experimental environment enables unique model-independent determinations of Higgs production and couplings with percent- to sub-percent precision. Complementary electroweak and top-quark measurements at the Z pole, WW threshold, and top threshold will also be discussed, establishing a new precision frontier with orders-of-magnitude improvements in key observables and sensitivity to very high new-physics scales. The talk will further cover the Higgs program at FCC-hh, including measurements of Higgs self-interaction, rare decays, and the extended direct reach for new physics at the energy frontier. Finally, the broader opportunities for flavor and QCD studies at FCC-ee will be briefly highlighted, illustrating the wide scientific scope of the FCC program.

Speaker: Lena Maria Herrmann (CERN)

FCC_physics_program_cap_herrmann.pdf

15:05 Chiral Belle Status: R&D on SuperKEKB Upgrade with Polarized Electron Beams (15'+5')

The Chiral Belle project, an upgrade of SuperKEKB with polarized electron beams, provides entirely unique opportunities to search for new physics via precision electroweak and other measurements, including measurements involving the tau lepton. The neutral current vector couplings will be precisely determined at 10GeV from left-right cross-section asymmetry measurements of e+e- annihilation to pairs of electrons, muons, taus, charm and b-quarks. The precision of these individual measurements will match or exceed those of current world averages, which were made at the Z-pole. Because these measurements will be made at 10GeV, they provide unique, high precision probes the running of the weak mixing angle from measurements of the different fermions. Chiral Belle will also provide the highest precision measurements of neutral current universality ratios, precision measurements of tau lepton properties, including the tau magnetic moment and Michel parameters. This paper will review recent work on the physics potential and report on the status of R&D initiatives underway to realize this upgrade. These R&D initiatives include the development of polarized sources, a Compton polarimeter, and compact spin rotator magnets designed to be ‘drop-in’ replacements of existing dipole magnets in the SuperKEKB High Energy Ring.

Speaker: Michael Roney (Univ. of Victoria)

ChiralBelle-CAP2026.pdf

15:25 Long Lived Particle Detectors at LHC and Beyond (15'+5')

There are a wide range of long-lived particle detectors that have been proposed at the LHC and high-lumi LHC. Many of these detectors have fundamentally different purposes, while others propose different ways to access the same long-lived particle phase space. This talk will provide an overview of these experiments, a discussion of how the landscape has evolved to where we are today, and provide some thoughts on how we could and should be planning for future colliders.

Speaker: Heather Russell (University of Victoria)

20260624_CAP_hrussell.pdf

14:15 → 15:45 W2-2 SYMPOSIUM: Big Data in Matter, Materials, and Beyond | Le Big Data dans la matière, les matériaux et au-delà

Physics has been an empirical science for centuries, but contemporary data exist in quantities that dwarf Newton’s Principia. Today, marshalling data to distill the understanding to describe emergent behaviours, invent new materials, and develop new solutions for improving technologies and human health requires fundamentally different approaches. This symposium will draw together physicists working across disciplinary borders to forge new approaches to empirical science in the 21st century.

Planned speakers include expertise in machine learning and artificial intelligence, information geometry, big data, and applications in materials, condensed matter, biophysics, and the physics of medicine. In addition, speakers include Canadians currently abroad, foreign physicists near (ish) to Ottawa or with research connections to Canada, and Canadian physicists at diverse career stages. We expect contributed talks and participation from students in condensed matter and beyond with academic and industry interests in machine learning, data science, and applied physics.

La physique est une science empirique depuis des siècles, mais les données contemporaines existent en quantités qui éclipsent les Principia de Newton. Aujourd'hui, rassembler des données pour distiller la compréhension afin de décrire les comportements émergents, inventer de nouveaux matériaux et développer de nouvelles solutions pour améliorer les technologies et la santé humaine nécessite des approches fondamentalement différentes. Ce symposium réunira des physiciens travaillant au-delà des frontières disciplinaires afin de forger de nouvelles approches de la science empirique au XXIe siècle.

Parmi les intervenants prévus figurent des experts en apprentissage automatique et en intelligence artificielle, en géométrie de l'information, en mégadonnées et en applications dans les domaines des matériaux, de la matière condensée, de la biophysique et de la physique médicale. En outre, les intervenants comprennent des Canadiens actuellement à l'étranger, des physiciens étrangers proches (ou presque) d'Ottawa ou ayant des liens de recherche avec le Canada, ainsi que des physiciens canadiens à différentes étapes de leur carrière. Nous attendons des contributions et la participation d'étudiants en matière condensée et au-delà, qui s'intéressent à l'apprentissage automatique, à la science des données et à la physique appliquée dans le milieu universitaire et industriel.

Convener: Bill Atkinson

14:15 Statistical and Machine Learning Methods for Material Science and Quantum Sensing

Machine learning (ML) is now ubiquitous. Fuelled by rapid advances in computational power and data accessibility, it has become the preferred paradigm for solving problems involving pattern recognition, classification, and complex, dynamic interactions. In this talk, I discuss the role that machine learning is playing in advancing material and device fabrication, as well as quantum technologies, specifically those based on diamond and hexagonal-boron nitride. This is particularly relevant as these materials, with their optically addressable spin defects, are emerging as leading hardware platforms for solid-state quantum applications in information processing, computing and sensing. I will show how ML-based methods can be successfully applied to measure certain physical quantities with better accuracy, higher resolution and/or overall fewer data points than standard approaches based on statistical inference. I will also discuss the increasingly important role machine learning is taking in the context of material design and (quantum-based) data processing, with specific focus on both its merits and its limits.

Speaker: Carlo Bradac (Trent University)

14:45 Smarter Quantum Experiments: Boosting Quantum Research with Artificial Intelligence

The optimized and efficient control of experimentally realized quantum systems is becoming increasingly crucial in the current era of quantum science and technology. Progress in fields like quantum computation, simulation, cryptography, sensing, or metrology depends strongly on the precise preparation, control, and understanding of quantum systems. At the same time, artificial intelligence has demonstrated remarkable success across a wide range of applications, including both classical and quantum physics. In this talk, I will show how artificial intelligence can optimize the control of quantum experiments, enable efficient evaluation of experimentally prepared states, and uncover detailed insights into quantum many-body physics. By highlighting the strengths of different artificial intelligence algorithms for specific tasks, I will illustrate how harnessing artificial intelligence opens new opportunities for control and discovery in quantum research.

Speaker: Stefanie Czischek (University of Ottawa)

15:15 Self-learning Monte Carlo with an Equivariant Transformer

Machine-learning-based approaches have become increasingly important in computational physics, particularly for simulations of complex many-body systems. In this context, equivariance provides a natural way to incorporate physical symmetries into models, acting as an inductive bias on the learned probability distributions. While such symmetry constraints are desirable, their direct incorporation into effective models for self-learning Monte Carlo (SLMC) can lead to reduced acceptance rates.

Here, we propose a symmetry-equivariant attention mechanism for SLMC that allows for systematic improvement through increased model depth. The method is tested on the two-dimensional spin–fermion (double-exchange) model. We find that the proposed architecture substantially improves acceptance rates compared to conventional linear models[1]. Furthermore, the performance of the effective model follows a clear scaling behavior, with accuracy improving monotonically as the number of layers increases, reminiscent of trends observed in large-scale language models . These results indicate that deep equivariant architectures provide a promising route toward more efficient and reliable SLMC simulations of complex physical systems.

[1] Y. Nagai and A. Tomiya, J. Phys. Soc. Jpn. 93, 114007 (2024).

Speaker: Yuki Nagai (The University of Tokyo)

Nagai_20260624_CAP.pdf

14:15 → 15:45 W2-3 SYMPOSIUM: Advancing Quantum Simulation based on 2 Dimensional Materials Through Canadian Collaboration | Faire progresser la simulation quantique basée sur les matériaux bidimensionnels grâce à une collaboration canadienne

The field of quantum science and technology, focusing specifically on quantum simulation, deals with the development of novel quantum systems and hardware to realize new approaches to understanding and controlling complex quantum many-body systems on different time and energy scales.

The Programmable Quantum Simulators Based on 2-Dimensional (2D) Materials initiative, supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), is a national-scale research effort uniting three Canadian quantum hubs. The collaboration spans eight research groups across six universities and includes three industry partners. The project is structured around three core goals: design and construct a specialized quantum simulator capable of emulating the complex behavior of quantum systems; implement programmable quantum devices leveraging 2D material-based hardware platforms; and build large-area high-quality 2D materials and theoretical models to enhance the development of quantum devices and their fabrication.

This initiative targets fundamental challenges in quantum phases of matter, including correlated insulators, superconductors, Wigner crystals, topological phases, spin liquids and magnetism. Beyond fundamental science, it holds promise for technological breakthroughs, such as unraveling mechanisms behind high-temperature superconductivity or optimizing the performance of quantum materials (semiconductors, magnets, ferroelectrics, and topological materials) for applications in electronics and optoelectronics. The symposium will bring together Canadian physicists to present the initiative recent advances and ongoing challenges, highlight potential industrial and academic impacts and foster new collaborations within the Canadian quantum research ecosystem.

Le domaine de la science et de la technologie quantiques, qui se concentre spécifiquement sur la simulation quantique, traite du développement de nouveaux systèmes et matériels quantiques afin de mettre en œuvre de nouvelles approches pour comprendre et contrôler des systèmes quantiques complexes à plusieurs corps sur différentes échelles de temps et d'énergie.

L'initiative « Simulateurs quantiques programmables basés sur des matériaux bidimensionnels (2D) », soutenue par le Conseil de recherches en sciences naturelles et en génie du Canada (CRSNG), est un effort de recherche à l'échelle nationale qui réunit trois pôles quantiques canadiens. La collaboration s'étend à huit groupes de recherche dans six universités et comprend trois partenaires industriels. Le projet s'articule autour de trois objectifs principaux : concevoir et construire un simulateur quantique spécialisé capable d'émuler le comportement complexe des systèmes quantiques ; mettre en œuvre des dispositifs quantiques programmables utilisant des plateformes matérielles basées sur des matériaux 2D ; et construire des matériaux 2D de grande surface et de haute qualité ainsi que des modèles théoriques afin d'améliorer le développement et la fabrication des dispositifs quantiques.

Cette initiative cible les défis fondamentaux liés aux phases quantiques de la matière, notamment les isolants corrélés, les supraconducteurs, les cristaux de Wigner, les phases topologiques, les liquides de spin et le magnétisme. Au-delà de la science fondamentale, elle est prometteuse pour des percées technologiques, telles que la découverte des mécanismes à l'origine de la supraconductivité à haute température ou l'optimisation des performances des matériaux quantiques (semi-conducteurs, aimants, ferroélectriques et matériaux topologiques) pour des applications en électronique et en optoélectronique. Le symposium réunira des physiciens canadiens qui présenteront les progrès récents et les défis actuels de l'initiative, mettront en évidence les impacts potentiels sur l'industrie et le monde universitaire et favoriseront de nouvelles collaborations au sein de l'écosystème canadien de recherche quantique.

Convener: Pawel Hawrylak (University of Ottawa)

14:15 Enhancing topology and superconductivity in moiré material: a quantum simulation perspective

Van der Waals heterostructures and moiré materials have emerged as a powerful platform for quantum simulation. Their exceptional tunability—through twist angle, stacking configuration, electrostatic gating, and substrates engineering—offers an unprecedented level of control over electronic degrees of freedom. These systems naturally host flat bands, strong electronic correlations, and symmetry‑protected degeneracies, making them prime candidates for realizing exotic quantum phases. However, a central challenge remains: how can we deliberately navigate the vast moiré landscape to obtain a phase of interest, given the immense combinatorial experimental choices available and the theoretical difficulty of modeling systems with thousands of atoms per moiré unit cell?

In this talk, I will present a symmetry‑based and perturbative framework that addresses this challenge by shifting the focus from microscopic modeling to effective low‑energy design principles. Rather than relying on brute‑force simulations, we show how lattice symmetries and the geometry of coupling at the moiré scale strongly constrain the allowed terms in the emergent moiré Hamiltonian. These constraints provide practical and predictive guidelines for material selection and heterostructure engineering. More specifically, I will demonstrate how coupling a moiré system to a carefully chosen substrate, or twisting selected monolayers, can induce and enhance topological band structures. I will then discuss how the same design principles can be leveraged to promote superconductivity. By identifying moiré systems with favorable pairing channels, enhanced density of states, and tunable interactions, we outline routes toward stabilizing superconductivity at elevated temperatures.

Overall, the work presented [1] provides a mature method to harness the potentials of moiré materials as programmable quantum simulators, hinting at how to engineer these system to study topology and the physics of strongly coupled superconductivity.

Overall, the work presented in Ref. [1] establishes a systematic and scalable approach to harnessing the potential of moiré materials as programmable quantum simulators, and provides concrete guidance for engineering platforms to study topology and strongly coupled superconductivity.

[1] Nakatsuji, Cano, and Crépel, High‑throughput discovery of moiré homobilayers guided by topology and energetics, arXiv:2512.15851

Speaker: Valentin CREPEL (University of Toronto)

15:00 Measuring properties of single defects, dopants and quantum dots with nm spatial resolution

Semiconductor interfaces often have isolated trap states which modify electronic properties. We have developed a framework to quantitatively describe a metal-insulator semiconductor (MIS) device formed out of a metallic AFM tip, vacuum gap, and semiconducting sample. This framework allows the measurement of local dopant concentration, bandgap and band bending timescales with nm scale resolution of different defects on semiconductors such as 2D MoSe2, Si and pentacene monolayers [1].

Specifically, we have characterize individual defects at the Si-SiOx interface. We show that surface charge equilibration timescales, which range from 1−150 ns, increase significantly around interfacial states [2]. From this we conclude that dielectric loss under time-varying gate biases in metal-insulator-semiconductor capacitor device architectures is highly spatially heterogeneous over nm length scales. We have also ana-lyzed two-state fluctuations localized at these interfacial traps, exhibiting bias-dependent rates and ampli-tudes. When measured as an ensemble, these observed defects have a 1/f power spectral trend at low fre-quencies [3]. Low-frequency noise due to two level fluctuations inhibits the reliability and performance of nanoscale semiconductor devices, and challenges the scaling of emerging qubits. The presented method and insights provide a more detailed understanding of the origins of 1/f noise in silicon-based classical and quantum devices, and could be used to develop processing techniques to reduce two-state fluctua-tions associated with defects.

Finally, I will demonstrate that properties can be measured with a time resolution limited only by the minimal energy (or force) detectable by AFM. We demonstrate this by mechanically detecting the intensity autocorrelation of a 100fs optical pulse and locally mapping the second order non-linear susceptibility This opens the door to future atomically resolved spatio-dynamic characterization of exciton genera-tion and recombination sites or the identification of defects in 2D materials suitable for emission of entan-gled photons.

References:
[1] M. Cowie, et al., Phys. Rev. Materials 6, 104002 (2022)
[2] M. Cowie, et al., Phys. Rev. Lett. 132, 256202 (2024)
[3] M. Cowie, et al., Proc. Natl. Acad. Sci. USA 121 (44) e2404456121 (2024)
[4] Z. Schumacher et al., Proc. Natl. Acad. Sci. USA 117, 19773 (2020)

Speaker: Peter Grutter (Dep. of Physics)

14:15 → 15:45 W2-4 SYMPOSIUM: Artificial Intelligence in Radiotherapy I: Precision Radiotherapy | L'intelligence artificielle en radiothérapie I: Radiothérapie de précision

Artificial Intelligence in Radiotherapy explores how advanced computational methods are transforming radiation oncology across the full clinical workflow. From automated image segmentation and adaptive treatment planning to outcome prediction, response assessment, and biologically informed dose optimization, AI-driven approaches are reshaping how radiotherapy is designed, delivered, and evaluated. This symposium will highlight methodological advances, clinical translation, and emerging challenges in validation, robustness, and implementation. By bringing together expertise spanning medical physics, imaging science, machine learning, and clinical oncology, the session aims to provide a comprehensive perspective on how AI is advancing precision, efficiency, and personalization in radiotherapy.

Le symposium « L'intelligence artificielle en radiothérapie » explore la manière dont les méthodes informatiques avancées transforment la radio-oncologie tout au long du parcours clinique. De la segmentation automatisée des images et de la planification adaptative des traitements à la prédiction des résultats, à l'évaluation de la réponse et à l'optimisation des doses fondée sur des données biologiques, les approches basées sur l'IA redéfinissent la manière dont la radiothérapie est conçue, administrée et évaluée. Ce symposium mettra en lumière les avancées méthodologiques, la transposition clinique et les nouveaux défis en matière de validation, de robustesse et de mise en œuvre. En réunissant des experts en physique médicale, en imagerie, en apprentissage automatique et en oncologie clinique, cette session vise à offrir une perspective globale sur la manière dont l'IA améliore la précision, l'efficacité et la personnalisation en radiothérapie.

Convener: Shirin Enger (Biological & Biomedical Engineering, McGill University)

14:15 Integrating Artificial Intelligence into Head and Neck Radiotherapy: Early Steps Toward Response-Adaptive Treatment

As cure rates improve for HPV-associated oropharyngeal cancer, attention has shifted toward reducing the burden of treatment toxicity without compromising disease control. Artificial intelligence and advanced imaging may offer tools to support this goal, though their clinical readiness remains an open question. This talk describes an ongoing research program exploring AI applications across three areas: longitudinal imaging biomarkers for tumour response monitoring during radiotherapy, prediction of treatment outcomes in surgically managed head and neck cancer using multi-omic data, and early detection of treatment-related complications. These projects are being developed in parallel with OPTIMA-OPC, a prospective de-escalation trial in HPV-positive oropharyngeal cancer, with the longer-term goal of embedding validated biomarkers into adaptive treatment protocols. We share preliminary findings, current limitations, and the practical challenges of translating AI tools from the research setting into clinical trials.

Speaker: Houda Bahig (Centre hospitalier de l'Université de Montréal (CHUM))

14:45 Does suppressing inflammation response in lung radiotherapy protect the lung cancer cells

Radiation-induced lung injury, characterized by chronic inflammation and fibrosis, limits the dose we can give in lung cancer radiotherapy. Drugs that block the inflammatory/fibrosis response have been shown to protect normal lung tissues from radiation. In this study, we wish to determine if one of these drugs also protect the lung cancer cells.
To initiate this study, we developed and validated a protocol to irradiate cell cultures in 12 well plates with an orthovoltage x-ray unit. This is followed by employing clonogenic survival assays to assess the effects of a drug that blocks fibrosis response in a non-small cell lung cancer (NSCLC) cell line A549. Specifically, the drug we employed is a novel compound (peptide) that blocks cells’ RHAMM (Receptors for Hyaluronan Mediated Motility) receptors from being activated.
Dosimetric accuracy of the irradiation setup was verified using GAFchromic films after calibration. Cell survival was quantified using clonogenic assays after optimization of seeding density across preliminary trials. We obtained the radiation cell survival curve by radiating between 2-10 Gy in 2 Gy increments. NSCLC cells were then pre-treated with peptide concentrations of 0.5, 5, and 50 μM prior to 4 Gy irradiation. Sensitizer enhancement ratios (SER) and statistical significance were calculated.
The GAF film exponential curve fit had an R^2 value of 0.996 and a mean difference of 3.1% in a test trial. Dose profiles underneath the wells had a 95.6% flatness and a mean difference of 5.5%. Across two independent peptide trials, no statistically significant difference between peptide-treated and control was observed. At 4 Gy, SER values for the three concentrations were 1.17 (0.5 μM, p=0.68), 1.15 (5.0 μM, p=0.72), and 1.18 (50.0 μM, p=0.60).
Preliminary results indicate that peptide pre-treatment did not alter radiation response under the test conditions. Ongoing work includes adding the peptide after the radiation, radiating at higher doses, and better modelling the tumour microenvironment using spheroids.
This study assessed a novel anti-fibrosis drug for use in lung cancer cells. We integrated biological assays with physics dosimetry to provide foundational data to increase therapeutic ratios for lung radiotherapy.

Speaker: Garrett Kirk (Western University)

15:00 Towards quantum microdosimetry: A novel approach for modeling low energy electron transport in biological tissues

Background: Therapeutic and accidental radiation exposure contexts typically focus on absorbed dose as the figure of merit for assessing tissue damage. However, physical processes underlying genetic damage are primarily mediated by secondary electrons with energies near the ionization threshold energy of DNA. This has motivated efforts to push Monte Carlo simulations of radiation transport to lower energies. Below 1 keV, however, the wavelength of the electron becomes comparable to interatomic distances, and therefore the semi-classical picture of localized interactions breaks down. Although quantum effects have been studied for systems involving purely absorptive inelastic interactions, the ionization cascade that ultimately induces biological effects has not been modelled in a similar quantum manner.
Purpose: To introduce a quantum model of low energy electron scattering that includes ionization events and focuses on classic microdosimetry quantities.
Methods: Building on a previous simplified quantum model of elastic scattering and absorption in a system of point scatterers, we propose a novel approach that further includes ionization events. Assuming rapid decoherence following ionization, our treelike branching model of a quantum history provides an accessible method to predict microdosimetry observables. We compare to analogous semi-classical simulations to estimate the bias of ignoring quantum effects. Included in our analysis is the probability distribution for the number of ionizations, the mean distance between ionizations, and the radial energy deposition profile.
Results: Using the same cross section inputs in both the quantum and the semi-classical models to highlight algorithmic differences, we find that the classical transport algorithm consistently overestimates the number of ionizations while also underestimating the energy deposited in each shell of a nanoscopic sphere. For DNA-like binding energies, the relative error of the shellwise energy deposition grows from 5% at an incident kinetic energy of 256 eV, up to 25% at 16 eV. No similar trend exists for the number of ionizations or the distance between ionizations.
Conclusions: Results suggest that there is no single scaling law for the relative error in all microdosimetric observables. Future work will expand the set of observables and geometries relevant to nanoscale energy deposition.

Speaker: Matthew Inglis-Whalen (Carleton University)

15:15 From Automated Analysis to Data Completion: Toward Robust AI for Radiotherapy Imaging in Neuro-Oncology

Artificial intelligence (AI) is increasingly applied in radiotherapy for tasks such as tumor segmentation and longitudinal response assessment. These methods, however, often assume complete high-quality imaging, which is not always available in clinical datasets. Missing or incomplete scans, particularly contrast-enhanced MRI, limit both inclusive AI model development and multi-institutional studies.

This talk presents recent works addressing these challenges. First, deep learning methods for radiotherapy longitudinal imaging analysis are described, highlighting performance in automated assessment of therapy outcomes under standard imaging conditions. Building on this foundation, the limitations caused by missing contrast-enhanced MRI are addressed through a contrast-aware generative modeling framework that synthesizes contrast-enhanced T1-weighted images from routinely acquired non-contrast sequences. The framework supports both single-timepoint and longitudinal imaging configurations, and is validated on multi-institutional datasets, demonstrating high fidelity and preservation of tumor enhancement patterns.

Finally, the efficacy of synthesized images for downstream tasks, including automated tumor detection and segmentation, is demonstrated, enabling reliable AI workflows even when key imaging modalities are unavailable. This work highlights a path toward data-robust AI systems in radiotherapy, bridging the gap between algorithmic performance and real-world applicability.

Speaker: Dr Ali Sadeghi-Naini (Electrical Engineering & Computer Science, York University)

14:15 → 15:45 W2-5 SYMPOSIUM: Private Sector Physics | Physique du secteur privé

Over 75% of physics graduates work in the private sector and government labs and institutions. Young physicists, or those interested in learning about physics career paths outside academia, are encouraged to attend this interactive symposium, which will provide insights into the careers of private sector physicists and offer insights and advice into the possible pathways and training needed to transition your physics training into an engaging and rewarding career beyond academia. Included in the symposium day schedule is an interactive Panel Session, hosted by the Director of Private Sector Physics, where you can learn more about the people and their careers as private sector and institutional physicists.

Plus de 75 % des diplômés en physique travaillent dans le secteur privé ainsi que dans des laboratoires et des organismes publics. Les jeunes physiciens, ou ceux qui souhaitent en savoir plus sur les carrières en physique en dehors du milieu universitaire, sont encouragés à participer à ce symposium interactif, qui leur permettra de découvrir les carrières des physiciens du secteur privé et leur fournira des informations et des conseils sur les parcours possibles et la formation nécessaire pour transformer leur formation en physique en une carrière passionnante et enrichissante en dehors du milieu universitaire. Le programme de la journée comprend une table ronde interactive, animée par le directeur de Private Sector Physics, au cours de laquelle vous pourrez en apprendre davantage sur les personnes et leurs carrières en tant que physiciens du secteur privé et du secteur institutionnels.

Invited speakers in this session:

Julie Lefebvre, Vice President Emerging Technologies, National Research Council
Danya Hudson, Senior Systems Specialist, Telesat Corporation
Emeka Nwafor, Senior Product Manager, Google Cloud
Panel Session (20 min)

Conveners: Daniel Cluff, Ian D'Souza

14:15 Julie Lefebvre, Vice President Emerging Technologies, National Research Council

14:30 Émile Carbone, Associate Professor, Institut national de la recherche scientifique

14:45 Emeka Nwafor, Senior Product Manager, Google Cloud

15:00 Panel Discussion

14:15 → 15:45 W2-6 SYMPOSIUM: Precision single particle and many-body physics in AMO systems | Physique de précision des particules individuelles et des systèmes à plusieurs corps dans les systèmes AMO

Atomic, Molecular and Optical (AMO) physics has traditionally dealt with single atoms and molecules. As one of the first branches of physics where quantum mechanics was successfully applied, developments over the past one hundred years mean that the quantum states of atoms and molecules can now be controlled and measured with unrivalled precision.   Recent advances in laser pulse shaping and control mean that this level of control can now be brought to bear over quantum many-body quantum states and there is a strong overlap between AMO and solid state physics. This symposium will bring together experts in this area from both the experimental and theoretical points of view.

La physique atomique, moléculaire et optique (AMO) s'est traditionnellement intéressée aux atomes et aux molécules isolés. Comptant parmi les premières branches de la physique où la mécanique quantique a été appliquée avec succès, les progrès réalisés au cours des cent dernières années permettent désormais de contrôler et de mesurer les états quantiques des atomes et des molécules avec une précision inégalée. Les progrès récents en matière de mise en forme et de contrôle des impulsions laser permettent désormais d'appliquer ce niveau de contrôle aux états quantiques à plusieurs corps, ce qui entraîne un chevauchement important entre la physique AMO et la physique des solides. Ce symposium réunira des experts de ce domaine, tant du point de vue expérimental que théorique.

Convener: Aaron Goldberg (National Research Council of Canada)

14:15 Recent Progress in Rydberg Atom-Based Radio Frequency Sensors

We will describe the principals of Rydberg atom-based radio frequency (RF) sensors. The introduction will be followed by a descriptions of recent advances that have been made at Quantum Valley Ideas Laboratories. We will describe experiments where vapor cells are engineered for low background electric fields and enhancement of the RF field. These improvements lead to better sensitivity and reproducibility. Finally, we will describe a new readout approach based on a closed optical loop in the atom that can enable simultaneous amplitude and phase readout, so-called IQ detection.

Speaker: James Shaffer (Quantum Valley Ideas Laboratories)

14:45 It’s Been a Hot Second: Atomic clocks, timescales, and the redefinition of the SI second

How do we know what time it is—and how can we ensure that a second measured today will be the same tomorrow, or on the other side of the world? Modern timekeeping answers these questions by tying time to the fundamental properties of atoms, achieving a level of precision that underpins both advanced technologies and fundamental physics.
In this talk, I will describe how atomic clocks are used to realize official time in Canada and the role of the National Research Council’s Frequency and Time Group in generating and maintaining the national timescale. I will outline how national timescales are linked through international comparisons to form International Atomic Time (TAI), and how successive generations of atomic clocks have steadily improved accuracy and stability.
Finally, I will review current international efforts toward a redefinition of the SI second. With optical atomic clocks now surpassing caesium-based standards by more than two orders of magnitude, this redefinition represents a significant step in the evolution of time measurement, with important implications for metrology and emerging technologies.

Speaker: Scott Beattie

15:15 Building an integrated telecom-wavelength quantum platform with artificial atoms

Scaling up light-based quantum devices for communications requires a platform capable of creating and processing telecommunication wavelength quantum light states. In this talk, I will introduce a quantum dot-based platform that our group has been developing together with NRC. The quantum dots, which act like artificial semiconductor atoms, are grown in a unique way; I will show how, already at this early stage in their development, they possess excellent properties that can potentially power on-demand quantum technologies. I will show how we interface these emitters with integrated photonic circuits, and conclude by discussing the next steps in the development of this Canadian quantum platform.

Speaker: Nir Rotenberg (Queen's University)

14:15 → 15:45 W2-7 SYMPOSIUM: Q-STATE - Recent developments at Canadian Quantum Hubs and in the Canadian Quantum Industry

This session will feature panelists from across the country who will provide overviews of quantum activities in their regions and explore opportunities for collaborations and synergies. Audience questions and suggestions will be welcome.

Panelists: Saurya Das, Steve Rayan, John Donohue, Aimee Gunther, Daria Ahrensmeier.

Convener: Olivia Di Matteo (The University of British Columbia)

14:15 Panel Discussion with Speakers Listed Below

14:30 Saurya Das, University of Lethbridge

14:45 Steven Rayan, University of Saskatchewan

15:00 John Donohue, University of Waterloo

15:15 Aimee Gunther, National Research Council of Canada

15:30 Daria Ahrensmeier, Simon Fraser Unniversity

14:15 → 15:45 W2-8 SYMPOSIUM: Transforming physics: EDIT-STEM tools to advance equity, diversity, and inclusion | Transformer la physique : les outils EDIT-STEM pour promouvoir l'équité, la diversité et l'inclusion

This symposium will offer practical tools to support physicists in learning about how they can address challenges to equity, diversity, and inclusion (EDI) in their professional activities. Challenges to EDI are pervasive in physics and across science, affecting who does science and their experiences, how scientific activities happen and their success, as well as connections between STEM and society. This symposium will focus on tools to effect change, drawing on research from the EDIT-STEM initiative, a multidisciplinary research collaboration that is engaging partners across sectors, organizations, and geographic regions. The EDIT-STEM initiative aims to develop novel interactive technologies as a transformative approach for addressing the challenges to EDI in STEM. We will describe the design, development, and evaluation of a novel, empirically tested measurement scale to assess STEM professionals’ readiness to engage with EDI initiatives as well as the effectiveness of those initiatives. We will give demonstrations of novel serious games: these video games are designed to raise awareness of challenges to EDI and provide opportunities to practice actions. We will give an overview of practical resources that support adoption of the evidence-based practices will be described, including an EDI Teaching Toolkit, and a EDI in Science and Engineering Research Pocket Guide.

Ce symposium proposera des outils pratiques pour aider les physiciens à apprendre comment relever les défis liés à l’équité, la diversité et l’inclusion (EDI) dans leurs activités professionnelles. Les défis liés à l’EDI sont omniprésents en physique et dans toutes les sciences. Ils ont une incidence sur les personnes qui font de la science et leurs expériences, sur la manière dont les activités scientifiques se déroulent et leur succès, ainsi que sur les liens entre les STEM et la société. Ce symposium se concentrera sur les outils permettant d’apporter des changements, en s’appuyant sur les recherches de l’initiative EDIT-STEM, une collaboration de recherche multidisciplinaire qui rassemble des partenaires de différents secteurs, organisations et régions géographiques. L’initiative EDIT-STEM vise à développer des technologies interactives novatrices comme approche transformatrice pour relever les défis liés à l’EDI dans les STEM. Nous décrirons la conception, le développement et l’évaluation d’une nouvelle échelle de mesure testée empiriquement pour évaluer la disposition des professionnels des STEM à s’engager dans des initiatives EDI ainsi que l’efficacité de ces initiatives. Nous ferons des démonstrations de nouveaux jeux sérieux : ces jeux vidéo sont conçus pour sensibiliser aux défis de l’EDI et offrir des occasions de mettre en pratique des actions. Nous donnerons un aperçu des ressources pratiques qui soutiennent l’adoption de pratiques fondées sur des preuves, notamment une boîte à outils pédagogique sur l’EDI et un guide de poche sur l’EDI dans la recherche scientifique et technique.

Convener: Maite Dupuis

14:15 On the path to EDIT-STEM

Advancing equity, diversity, and inclusion (EDI) in science, technology, engineering, and mathematics (STEM) fields is both a collective responsibility and pathway to excellence. The challenges to EDI in STEM affect who engages in STEM and their experiences, how STEM activities occur, their success, and their applicability to society. While there is growing evidence of the importance of EDI in STEM, individuals may lack knowledge or skills to effect change. Organizations recognize the urgent need to address EDI to achieve the best possible science, however, their efforts are hampered by a lack of directly applicable tools.

The EDIT-STEM (EDI Technologies/Transformation for STEM) initiative aims to develop novel technologies as a transformative approach to address the challenges to EDI in STEM. This unique interdisciplinary collaboration unites researchers across disciplines, sectors, organizations, and geographic regions. It will make use of recent developments in the computer science sub-field of Persuasive Technology – interactive systems to motivate positive changes in user attitude and behaviour through informed persuasion.

This presentation will provide an overview of EDIT-STEM. For context, recent work on resources to empower scientists to initiate actions to advance EDI will be reviewed. The Teaching Toolkit, “Science is for everyone: Integrating equity, diversity and inclusion in teaching science and engineering – a toolkit for instructors”, and Research Pocket Guide, “Striving for inclusive excellence in science and engineering research: a pocket guide”, focus on practical, actionable ideas to engage with EDI (https://zenodo.org/communities/edit-stem/).

We will describe how the EDIT-STEM collaboration was formed by researchers from across STEM fields in partnership with organizations that are STEM changemakers in Canada. Our approach, including participatory design and integrated knowledge mobilization, will be outlined. We will sketch our vision of developing an innovative technological approach to achieve a user-centric, accessible, interactive, and scalable solution to this societal problem.

Speaker: Rowan Thomson

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14:45 Development and evaluation of a novel assessment tool to evaluate individuals’ readiness to engage in EDI initiatives.

Promoting equity, diversity, and inclusion (EDI) in scientific disciplines remains a significant challenge. While EDI programs and interventions have grown substantially, their effectiveness in producing sustainable and meaningful change is often unknown. Our research is addressing this challenge by developing and evaluating a novel assessment tool to measure individuals’ readiness to engage in EDI in STEM fields over time, the “EDI-Ready” questionnaire.

The design of the questionnaire is grounded in a well-established theory of human behaviour change that delineates 4 stages of change common across different contexts; we applied the theory to the context of EDI in STEM. The questionnaire aims to quantify an individual’s attitudes and behaviours associated with EDI initiatives. We conducted a pilot study to evaluate the EDI-Ready questionnaire at Carleton University by recruiting graduate students, postdoctoral fellows, and faculty in STEM.

Over 250 scientists and engineers completed the EDI-Ready questionnaire, and 33 participated in follow-up semi-structured interviews. Statistical analyses of participant responses to the questionnaire suggest that participants’ behaviours and attitudes align with the theory’s 4 stages of change; these results show the majority of participants are preparing to engage in EDI initiatives (but are not fully action-oriented). Qualitative analyses based on the interviews validated the questionnaire as an assessment tool to capture change readiness and to gain a better understanding of participants’ perspectives and experiences with EDI.

Initial results demonstrate that the EDI-Ready questionnaire can effectively assess individuals’ behaviours and attitudes related to EDI in STEM. Ongoing work focuses on refining the questionnaire and engaging in broader validity studies, towards the aim of providing a validated tool to measure progress in advancing EDI at individual and institutional levels. Data collected from the questionnaire provides the foundation for the design of tailored, theory-driven interventions, including interactive technologies.

Speaker: Alisha Szozda (Carleton University)

15:15 Initial Lessons of Creating Educational Games in EDI Initiatives

One of the main goals of EDIT-STEM is to create interventional technology or games that can help address EDI-related issues in STEM. Digital games are a novel medium that present opportunities to engage with audiences differently because their interactive nature can encourage discovery and reflection. Games are also a well-established cultural form with their own unique design considerations and user expectations. Consequently, our EDI-related games research explores how to represent EDI issues, and how to deliver educational messages, while taking advantage of the unique aspects of the game medium.

I will recount the initial lessons from the journeys of three master students (second, third and fourth author of this abstract). I will present projects in various stages including early ideations and prototypes on the topics of anxiety and power dynamics, and two more developed games on micro-aggressions and bystander interventions.

I will discuss challenges arising when designing educational EDI games, such as how to balance usability, engagement and fun while conveying the intended EDI messages. I will also consider specific challenges involving differences with the research team’s background, their experiences with games and game design, as well as the game genre and the EDI topic of interest. The general lessons will include both specific design recommendations for games, as well as the type of mentoring and onboarding efforts needed to allow intelligent and faithful exploration of the synergy between games and EDI. The end of the talk will be dedicated to an open forum to elicit feedback and ideas for potential EDI educational games.

Speaker: Hongwei Zhou (Carleton University)

15:45 → 16:15 Health Break with Exhibitors | Pause santé avec les exposants

16:15 → 17:45 W3-1 SYMPOSIUM: Future Particle Physics Energy Frontier Facilities | Installations futures à la pointe de la physique des particules

With the discovery of the Higgs boson the Standard Model is now complete. Yet key questions remain unanswered: the matter–antimatter asymmetry, the nature of dark matter and the origin of neutrino masses. Addressing these requires physics beyond the Standard Model and motivates intensified collider exploration. This symposium will bring together researchers working on new facilities that will enable exploration of the energy frontier. Discussion topics will include theory motivations, experimental developments, and accelerator technologies that enable the next generation of experiments.

A portion of the symposium will be dedicated to convene Canadian researchers interested in learning about or contributing to the Future Circular Collider (FCC). This new accelerator is designed to extend our reach with unprecedented sensitivity, precision, and energy beyond the TeV scale. If pursued by CERN and Europe, 2028–2034 will be a critical period for building collaborations and developing the required detector technologies. The goal is to engage researchers in material science, computational physics, instrumentation, accelerator technology and high energy theory and experiment in shaping a new effort that could be a major part of Canada’s subatomic physics community.

Avec la découverte du boson de Higgs, le Modèle standard est désormais complet. Cependant, des questions fondamentales restent sans réponse : l'asymétrie matière-antimatière, la nature de la matière noire et l'origine des masses des neutrinos. Pour y répondre, il faut aller au-delà du Modèle standard et intensifier l'exploration des collisionneurs. Ce symposium réunira des chercheurs travaillant sur de nouvelles installations qui permettront d'explorer les frontières de l'énergie. Les thèmes abordés comprendront les motivations théoriques, les développements expérimentaux et les technologies d'accélérateurs qui permettront la prochaine génération d'expériences.

Une partie du symposium sera consacrée à réunir les chercheurs canadiens intéressés à en savoir plus sur le Future Circular Collider (FCC) ou à y contribuer. Ce nouvel accélérateur est conçu pour étendre notre portée avec une sensibilité, une précision et une énergie sans précédent au-delà de l'échelle TeV. Si le CERN et l'Europe poursuivent ce projet, la période 2028-2034 sera cruciale pour établir des collaborations et développer les technologies de détection nécessaires. L'objectif est d'impliquer des chercheurs en science des matériaux, en physique computationnelle, en instrumentation, en technologie des accélérateurs et en théorie et expérimentation des hautes énergies dans la mise en place d'un nouvel effort qui pourrait constituer un élément majeur de la communauté canadienne de physique subatomique.

Convener: Alison Lister (University of British Columbia (CA))

ZOOM

16:15 FCC Detector Design Concepts (25'+5')

Speaker: Mogens Dam (University of Copenhagen (DK))

CAP_260624 .pdf

16:45 Learning from the past: Canada's involvement in the ATLAS Upgrade (12'+3')

Canadian institutes have been involved in multiple aspects of the ATLAS detector's upgrades for the High Luminosity Large Hadron Collider. During several years of schedule delays, Canadian institutes were at the forefront of investigations into technical and logistical issues, contributing greatly to their solution and to the success of the overall project.

This contribution presents selected examples of Canada's role in the ongoing upgrades of the ATLAS detector and lessons to be learned for future Collider projects.

Speaker: Luise Poley (Simon Fraser University (CA))

CAP Symposium - Lessons Learned - REVISED.pdf

17:00 Detector development for the Future Circular Collider in the DRD3 Collaboration (12'+3')

The Future Circular Collider (FCC) to be built at CERN, is the proposed successor to the Large Electron-Positron Collider (LEP) and the Large Hadron Collider (LHC). The FCC will facilitate a wide science program which, by exploring matter and forces at the smallest scales and the Universe at earliest times, will continue to provide answers to scientific questions and potentially reveal fundamentally new phenomena or forms of matter never observed before.

The development of detectors for FCC represents a challenge that drives technologies beyond the present state of the art and the coming years will be the critical time period for this. To meet these challenges, a robust R&D program has been initiated spearheaded by the CERN-anchored detector R&D Collaborations (DRDs). The development of solid state detectors to match the requirements of experiments at the FCC are the focus of the DRD3 Collaboration.

In this presentation we will report on the main activities of the DRD3 Collaboration as they are organized in the form of working groups. Emphasis will be placed in the most technologically innovative initiatives that aim to achieve full integration of sensing and microelectronics in monolithic CMOS pixel sensors, develop solid state sensors with 4D tracking capabilities and extend the operational life of solid state sensors in extreme environments. Throughout the presentation we will highlight R&D areas where there is already Canadian involvement. The potential of applications of new solid state detector technologies beyond collider particle physics will also be explored in the end.

Speaker: Christoph Thomas Klein (Carleton University (CA))

2026-06-24_DRD3.pdf

17:15 Photon Detector Development in DRD4 (12'+3')

Speaker: Fabrice Retiere

CanadaFCC_Photodetector_June2026.pdf

CanadaFCC_Photodetector_June2026.pptx

17:30 High Temperature Superconducting Magnet Technology (12'+3')

High-temperature superconducting (HTS) magnets are enabling a new generation of high-field systems by providing higher current densities and lower losses than conventional technologies. In the near term, their impact is most visible in high-field accelerator magnets and advanced research facilities, where they allow stronger fields, more compact beamlines, and enhanced performance beyond the limits of NbTi and Nb₃Sn systems. This directly supports upgrades to existing particle accelerators and the design of next-generation colliders with higher energies and reduced footprints. Over a longer time scale, HTS magnets could fundamentally reshape accelerator architecture, enabling ultra-high-field magnets for more efficient and affordable machines, while also benefiting adjacent fields such as fusion energy and high-power electrification. Despite remaining challenges in cost, conductor uniformity, and quench protection, continued progress is likely to establish HTS technology as a cornerstone of future accelerator and large-scale scientific infrastructure.

Speaker: Frederic Sirois (Polytechnique Montreal)

FSirois_HTS_CAP_2026_final.pdf

FSirois_HTS_CAP_2026_final.pptx

16:15 → 17:45 W3-2 SYMPOSIUM: Big Data in Matter, Materials, and Beyond | Le Big Data dans la matière, les matériaux et au-delà

Physics has been an empirical science for centuries, but contemporary data exist in quantities that dwarf Newton’s Principia. Today, marshalling data to distill the understanding to describe emergent behaviours, invent new materials, and develop new solutions for improving technologies and human health requires fundamentally different approaches. This symposium will draw together physicists working across disciplinary borders to forge new approaches to empirical science in the 21st century.

Planned speakers include expertise in machine learning and artificial intelligence, information geometry, big data, and applications in materials, condensed matter, biophysics, and the physics of medicine. In addition, speakers include Canadians currently abroad, foreign physicists near (ish) to Ottawa or with research connections to Canada, and Canadian physicists at diverse career stages. We expect contributed talks and participation from students in condensed matter and beyond with academic and industry interests in machine learning, data science, and applied physics.

La physique est une science empirique depuis des siècles, mais les données contemporaines existent en quantités qui éclipsent les Principia de Newton. Aujourd'hui, rassembler des données pour distiller la compréhension afin de décrire les comportements émergents, inventer de nouveaux matériaux et développer de nouvelles solutions pour améliorer les technologies et la santé humaine nécessite des approches fondamentalement différentes. Ce symposium réunira des physiciens travaillant au-delà des frontières disciplinaires afin de forger de nouvelles approches de la science empirique au XXIe siècle.

Parmi les intervenants prévus figurent des experts en apprentissage automatique et en intelligence artificielle, en géométrie de l'information, en mégadonnées et en applications dans les domaines des matériaux, de la matière condensée, de la biophysique et de la physique médicale. En outre, les intervenants comprennent des Canadiens actuellement à l'étranger, des physiciens étrangers proches (ou presque) d'Ottawa ou ayant des liens de recherche avec le Canada, ainsi que des physiciens canadiens à différentes étapes de leur carrière. Nous attendons des contributions et la participation d'étudiants en matière condensée et au-delà, qui s'intéressent à l'apprentissage automatique, à la science des données et à la physique appliquée dans le milieu universitaire et industriel.

Convener: Greg van Anders (Queen's University)

16:15 Latent Spaces and Optimization Protocols for Peptide Design

Peptides are short biomolecules with numerous desirable properties for biomaterials design including multifunctionality and biocompatibility. Over the past decade, there has been an explosion in the use of generative deep learning models for design of general de novo molecular design, including peptides; however, analysis of generative models and design spaces remains an open area of research. In this talk, I will present our lab's ongoing work on the creation and assessment of latent space-associated deep learning models and optimization procedures for peptide design. I will discuss model design and optimization in the context of latent space-associated models, including data curation and semi-supervised learning in the context of designing antimicrobial peptides, for which there is plentiful physico-chemical data but sparse highly-relevant experimental data. I will also discuss model quality analysis, focusing on latent space organization, information content, and visualization, and performance and visualization of optimization procedures within different latent spaces. Finally, I will present preliminary work on bringing together deep learning, molecular dynamics simulation, and experiment to design peptides aggregating into functional amyloid structures. Overall, our work lays necessary groundwork for peptide design procedures and for assessing the quality of generative models.

Speaker: Rachael Mansbach (Concordia University)

16:45 Interpretable data-driven dynamics of human aging

High-dimensional health data is measured regularly for large study populations. We do physics with this big data, with a particular focus on the complex dynamics of human aging. While we started with flexible deep-learning approaches to predict future health, we have used them to identify simpler stochastic dynamical models within interpretable latent spaces. I will tell you about our methods, our findings to date, and the open questions we continue to pursue.

Speaker: Prof. Andrew Rutenberg (Dalhousie University)

17:15 Charting the World’s Open Innovation Landscape from Research to Commercialization

Understanding the innovation landscape, and tracing how novel or emerging ideas become applied elsewhere in science or in a technological innovation that is then commercialized, is a complex challenge. We gather hundreds of millions of scientific articles and patents from 197 countries and in 165 languages, extract 6 billion links connecting them via citations and text similarity, and use the resulting corpus to generate a Map of Science and a Map of Patents. The resulting maps reflect research and innovation clusters, extracted in an emergent rather than a prescriptive manner. In this way, we can trace through the impact of basic research or federal funding, and isolate new areas that are likely to experience extreme growth.

Speaker: Katherine Quinn (Georgetown University)

16:15 → 17:45 W3-3 SYMPOSIUM: Advancing Quantum Simulation based on 2 Dimensional Materials Through Canadian Collaboration | Faire progresser la simulation quantique basée sur les matériaux bidimensionnels grâce à une collaboration canadienne

The field of quantum science and technology, focusing specifically on quantum simulation, deals with the development of novel quantum systems and hardware to realize new approaches to understanding and controlling complex quantum many-body systems on different time and energy scales.

The Programmable Quantum Simulators Based on 2-Dimensional (2D) Materials initiative, supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), is a national-scale research effort uniting three Canadian quantum hubs. The collaboration spans eight research groups across six universities and includes three industry partners. The project is structured around three core goals: design and construct a specialized quantum simulator capable of emulating the complex behavior of quantum systems; implement programmable quantum devices leveraging 2D material-based hardware platforms; and build large-area high-quality 2D materials and theoretical models to enhance the development of quantum devices and their fabrication.

This initiative targets fundamental challenges in quantum phases of matter, including correlated insulators, superconductors, Wigner crystals, topological phases, spin liquids and magnetism. Beyond fundamental science, it holds promise for technological breakthroughs, such as unraveling mechanisms behind high-temperature superconductivity or optimizing the performance of quantum materials (semiconductors, magnets, ferroelectrics, and topological materials) for applications in electronics and optoelectronics. The symposium will bring together Canadian physicists to present the initiative recent advances and ongoing challenges, highlight potential industrial and academic impacts and foster new collaborations within the Canadian quantum research ecosystem.

Le domaine de la science et de la technologie quantiques, qui se concentre spécifiquement sur la simulation quantique, traite du développement de nouveaux systèmes et matériels quantiques afin de mettre en œuvre de nouvelles approches pour comprendre et contrôler des systèmes quantiques complexes à plusieurs corps sur différentes échelles de temps et d'énergie.

L'initiative « Simulateurs quantiques programmables basés sur des matériaux bidimensionnels (2D) », soutenue par le Conseil de recherches en sciences naturelles et en génie du Canada (CRSNG), est un effort de recherche à l'échelle nationale qui réunit trois pôles quantiques canadiens. La collaboration s'étend à huit groupes de recherche dans six universités et comprend trois partenaires industriels. Le projet s'articule autour de trois objectifs principaux : concevoir et construire un simulateur quantique spécialisé capable d'émuler le comportement complexe des systèmes quantiques ; mettre en œuvre des dispositifs quantiques programmables utilisant des plateformes matérielles basées sur des matériaux 2D ; et construire des matériaux 2D de grande surface et de haute qualité ainsi que des modèles théoriques afin d'améliorer le développement et la fabrication des dispositifs quantiques.

Cette initiative cible les défis fondamentaux liés aux phases quantiques de la matière, notamment les isolants corrélés, les supraconducteurs, les cristaux de Wigner, les phases topologiques, les liquides de spin et le magnétisme. Au-delà de la science fondamentale, elle est prometteuse pour des percées technologiques, telles que la découverte des mécanismes à l'origine de la supraconductivité à haute température ou l'optimisation des performances des matériaux quantiques (semi-conducteurs, aimants, ferroélectriques et matériaux topologiques) pour des applications en électronique et en optoélectronique. Le symposium réunira des physiciens canadiens qui présenteront les progrès récents et les défis actuels de l'initiative, mettront en évidence les impacts potentiels sur l'industrie et le monde universitaire et favoriseront de nouvelles collaborations au sein de l'écosystème canadien de recherche quantique.

Convener: Pawel Hawrylak (University of Ottawa)

16:15 Reconfigurable moiré interfaces: A scanning van der Waals microscope for in-situ twist control and quantum transport

Moiré materials are defined by a delicate interplay of symmetry and nanoscale registry, yet the most important structural tuning parameters are often frozen once a heterostructure is assembled. I will present a "scanning van der Waals microscope" that creates a pristine nanoscale 2D-2D junction on a probe and rotates the interface in situ, enabling continuous twist control while measuring electrical transport across the junction. The method is aimed at two longstanding bottlenecks: reconfigurable control of moiré interfaces and momentum-selective tunnelling spectroscopy of electronic structure with moiré-relevant resolution. I will summarize initial results from graphene-based junctions and discuss near-term directions toward tunable moiré heterostructures for quantum simulation.

Speaker: Sergio de la Barrera

16:45 Quantum Circuits based on 2D Semiconductors

Monolayer transition metal dichalcogenides have emerged as key materials for investigating the interplay between spin and valley degrees of freedom. The strong spin-orbit interaction and the lack of inversion symmetry in these materials result in a spin-valley locking, in which carriers in the K and K’ valleys possess opposite spin polarization. This effect is particularly pronounced for holes due to the large spin-orbit splitting of the valence band.

In this talk, I will highlight how spin-valley locking shapes magnetotransport in monolayer tungsten diselenide confined to different dimensions through electrostatic gating.

In two dimensions, we report magnetotransport measurements in perpendicular magnetic fields up to 8 T, revealing a Landau fan diagram consistent with fully spin-polarized hole transport at low filling factors. At higher carrier densities, the Landau fan exhibits an unconventional alternating resistance pattern.

We further demonstrate electrostatic confinement of monolayer tungsten diselenide into one dimension. In this regime, spin-valley locking combined with strong hole-hole interactions leads to a ferromagnetic ground state, resulting in spin- and valley-polarized transport even in the absence of an external magnetic field. The persistence of this polarized configuration can be tuned using a global back-gate. Finally, we will present measurements in the zero-dimensional confinement regime.

Together, these results establish monolayer tungsten diselenide as a versatile platform for engineering and controlling spin- and valley-polarized states, opening opportunities for realizing quantum circuits in 2D semiconductors

Speaker: Justin Boddison-Chouinard (National Research Council Canada)

17:15 Bilayer Graphene Quantum Dots as Quantum Simulators of Haldane Topological Quantum Matter

We demonstrate that chains of bilayer graphene quantum dots (BLGQDs) can realize topological quantum matter by effectively simulating spin-1 chains that host the Haldane phase. Using an atomistic tight-binding model combined with exact diagonalization, we show that two electrons per quantum dot form a robust spin-1 ground state across interaction regimes. For coupled quantum dots, the low-energy spectrum maps naturally onto a bilinear-biquadratic (BLBQ) spin-1 model, establishing a direct link between microscopic electronic states and effective quantum spin Hamiltonians. Through this mapping, we demonstrate access to the Haldane phase, a topologically ordered phase characterized by a gapped bulk spectrum and fractionalized spin-1/2 edge states. The system parameters are electrically tunable via gate voltages, dielectric environment, and quantum dot geometry, offering unprecedented control over effective spin interactions. Our calculations using density matrix renormalization group methods reveal that chains of 10-20 quantum dots are sufficient to observe clear topological signatures, making this platform experimentally accessible. This work opens new routes for exploring quantum magnetism, topological phases, and electrically controlled quantum information architectures in solid-state systems.

Speaker: Daniel Miravet (University of Ottawa)

16:15 → 17:45 W3-4 SYMPOSIUM: Artificial Intelligence in Radiotherapy II: Bridging AI and First-Principles Physics | L'intelligence artificielle en radiothérapie II: Connexion entre l'IA et la physique des premiers principes

Artificial Intelligence in Radiotherapy explores how advanced computational methods are transforming radiation oncology across the full clinical workflow. From automated image segmentation and adaptive treatment planning to outcome prediction, response assessment, and biologically informed dose optimization, AI-driven approaches are reshaping how radiotherapy is designed, delivered, and evaluated. This symposium will highlight methodological advances, clinical translation, and emerging challenges in validation, robustness, and implementation. By bringing together expertise spanning medical physics, imaging science, machine learning, and clinical oncology, the session aims to provide a comprehensive perspective on how AI is advancing precision, efficiency, and personalization in radiotherapy.

Le symposium « L'intelligence artificielle en radiothérapie » explore la manière dont les méthodes informatiques avancées transforment la radio-oncologie tout au long du parcours clinique. De la segmentation automatisée des images et de la planification adaptative des traitements à la prédiction des résultats, à l'évaluation de la réponse et à l'optimisation des doses fondée sur des données biologiques, les approches basées sur l'IA redéfinissent la manière dont la radiothérapie est conçue, administrée et évaluée. Ce symposium mettra en lumière les avancées méthodologiques, la transposition clinique et les nouveaux défis en matière de validation, de robustesse et de mise en œuvre. En réunissant des experts en physique médicale, en imagerie, en apprentissage automatique et en oncologie clinique, cette session vise à offrir une perspective globale sur la manière dont l'IA améliore la précision, l'efficacité et la personnalisation en radiothérapie.

Convener: Houda Bahig (Centre hospitalier de l'Université de Montréal (CHUM))

16:15 Physics-Informed and Trustworthy Artificial Intelligence for Personalized Radiation Oncology

Artificial intelligence (AI) is reshaping medical physics by enabling more automated, quantitative, and patient-specific cancer care. My research program develops machine learning methods to improve cancer diagnosis, radiation treatment planning, dose calculation, and outcome prediction using multimodal patient data, including medical imaging, digital pathology, molecular information, and clinical text. Another branch of my research is the collection and curation of large, multi-institutional datasets to support robust, clinically generalizable AI models.

This presentation highlights how AI is used to model, optimize, and personalize radiation-based cancer treatments. One area of focus is brachytherapy, a form of radiation therapy in which radioactive sources are placed close to or inside the tumour. In this context, I will describe AI-based treatment planning methods that optimize source placement and treatment delivery, with the goal of maximizing tumour dose while minimizing exposure to surrounding healthy tissue. I will also present deep learning tools for rapid dose estimation that approximate computationally intensive physics-based Monte Carlo simulations while preserving clinical accuracy. Another component of the presentation focuses on data collection and curation efforts, including the assembly of large, multi-institutional and multimodal datasets needed to train and validate clinically generalizable AI models. Finally, I will discuss multimodal prediction models that combine imaging, pathology, molecular, and clinical data to improve understanding of treatment response, progression-free survival, and individualized patient risk.

Speaker: Dr Shirin Enger (Biological & Biomedical Engineering, McGill University)

16:45 Hybrid AI–Monte Carlo Radiation Dose Calculation for Real-Time Radiotherapy

This talk presents a hybrid Artificial Intelligence – Monte Carlo (AI-MC) framework that integrates fast, data-driven radiation dose prediction with selective physics-based verification. In this approach, AI provides rapid full-volume dose estimates for real-time decision-making, while MC simulation is applied for targeted verification and refinement in clinically critical regions. MC simulation is the gold standard for radiotherapy dose calculation due to its high physical accuracy. But it is time-consuming and results in computational cost being too high to be feasible for time-sensitive computer-intensive clinical workflows such as image-guided adaptive radiotherapy. To overcome this limitation, AI can be used to approximate MC-generated dose distributions in seconds and enable rapid evaluation. But the shortcomings of AI still must be addressed. including generalizability, lack of explicit physical modeling, and uncertainty in out-of-distribution scenarios. In the talk, applications in adaptive radiotherapy and treatment planning will be discussed, demonstrating how hybrid methods can enable fast, accurate, and clinically robust dose calculation. By combining speed and accuracy, hybrid AI–MC methods offer a practical pathway toward real-time, physics-accurate radiotherapy.

Speaker: Dr James Chow (Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, Canada)

From Minutes to Seconds Hybrid AI-MC Dose Calculation 2.pdf

From Minutes to Seconds Hybrid AI-MC Dose Calculation 2.pptx

17:15 Discussion

16:15 → 17:45 W3-5 SYMPOSIUM: Private Sector Physics | Physique du secteur privé

Over 75% of physics graduates work in the private sector and government labs and institutions. Young physicists, or those interested in learning about physics career paths outside academia, are encouraged to attend this interactive symposium, which will provide insights into the careers of private sector physicists and offer insights and advice into the possible pathways and training needed to transition your physics training into an engaging and rewarding career beyond academia. Included in the symposium day schedule is an interactive Panel Session, hosted by the Director of Private Sector Physics, where you can learn more about the people and their careers as private sector and institutional physicists.

Plus de 75 % des diplômés en physique travaillent dans le secteur privé ainsi que dans des laboratoires et des organismes publics. Les jeunes physiciens, ou ceux qui souhaitent en savoir plus sur les carrières en physique en dehors du milieu universitaire, sont encouragés à participer à ce symposium interactif, qui leur permettra de découvrir les carrières des physiciens du secteur privé et leur fournira des informations et des conseils sur les parcours possibles et la formation nécessaire pour transformer leur formation en physique en une carrière passionnante et enrichissante en dehors du milieu universitaire. Le programme de la journée comprend une table ronde interactive, animée par le directeur de Private Sector Physics, au cours de laquelle vous pourrez en apprendre davantage sur les personnes et leurs carrières en tant que physiciens du secteur privé et du secteur institutionnels.

Invited speakers in this session:

Robert "Lauchie" Scott, Defense Scientist, Defence Research & Development Canada
Craig Haley, Chief Operating Officer, BMV Optical
Barrett Taylor, Senior Optical Systems Engineer, Honeywell Aerospace
Daniel Cluff, Chief Executive Officer, CanMIND Associates

Conveners: Daniel Cluff, Ian D'Souza

16:15 Robert "Lauchie" Scott, Defense Scientist, Defence Research & Development Canada

16:30 Craig Haley, Chief Operating Officer, BMV Optical

16:45 Barrett Taylor, Senior Optical Systems Engineer, Honeywell Aerospace

17:00 Daniel Cluff, Chief Executive Officer, CanMIND Associates

16:15 → 17:45 W3-6 SYMPOSIUM: Precision single particle and many-body physics in AMO systems | Physique de précision des particules individuelles et des systèmes à plusieurs corps dans les systèmes AMO

Atomic, Molecular and Optical (AMO) physics has traditionally dealt with single atoms and molecules. As one of the first branches of physics where quantum mechanics was successfully applied, developments over the past one hundred years mean that the quantum states of atoms and molecules can now be controlled and measured with unrivalled precision.   Recent advances in laser pulse shaping and control mean that this level of control can now be brought to bear over quantum many-body quantum states and there is a strong overlap between AMO and solid state physics. This symposium will bring together experts in this area from both the experimental and theoretical points of view.

La physique atomique, moléculaire et optique (AMO) s'est traditionnellement intéressée aux atomes et aux molécules isolés. Comptant parmi les premières branches de la physique où la mécanique quantique a été appliquée avec succès, les progrès réalisés au cours des cent dernières années permettent désormais de contrôler et de mesurer les états quantiques des atomes et des molécules avec une précision inégalée. Les progrès récents en matière de mise en forme et de contrôle des impulsions laser permettent désormais d'appliquer ce niveau de contrôle aux états quantiques à plusieurs corps, ce qui entraîne un chevauchement important entre la physique AMO et la physique des solides. Ce symposium réunira des experts de ce domaine, tant du point de vue expérimental que théorique.

Convener: James Shaffer (Quantum Valley Ideas Laboratories)

16:15 Techniques for Precision Metrology and the Realization of Quantum Sensors*

We review distinctive experimental techniques that rely on coherent scattering, precision metrology, and atom interferometry that have realized varied applications including precise measurements of atomic lifetimes, masses of dielectric particles, atomic diffusion, centre of mass velocity, and gravitational acceleration. We show that the two-pulse photon echo technique is capable of realizing the most precise determination of the Rb 5P3/2 excited state lifetime. We describe time domain techniques that track the motion of dielectric microparticles confined by free space optical tweezers and measure particle masses with a sensitivity of 10-16 kg. We detect the motion of Rb optical lattices in a buffer gas environment to obtain the most comprehensive measurements of atomic diffusion that can serve as the basis for a quantum pressure sensor capable of calibrating commercial pressure gauges. We outline a new generation of frequency domain and time domain techniques for the realization of state-of-the-art velocimeters that utilize laser cooled Rb atoms. Finally, we review recent results from a new generation of frequency domain echo atom interferometers that use ultracold Rb atoms channelled into an optical lattice to realize a gravimeter. A universal theme in all these experiments is the reliance on low cost, homebuilt, laser systems developed through industrial partnerships.
*Work supported by CFI, OIT, NSERC, OCE, The Helen Freedhoff Memorial Fund and York University

Speaker: Prof. A Kumarakrishnan (York University)

16:45 Quantum jump approach to atom interferometers

Atom interferometers are a form of quantum sensor in which matter waves are used for high-precision inertial sensing, such as gravimetry and gradiometry. Optimizing these sensors involves a careful design of the interferometer geometry, as well as improving the detection scheme that monitors internal and center-of-mass states of an atomic cloud.

In this talk we present a theoretical analysis of an advanced experimental detection scheme for the D2-line of 87 Rb atoms, which consists of a sequence of laser beams. The interaction between the atoms and beams is described using a master equation, which is solved numerically using a quantum jump approach. Each quantum jump takes into account the interplay between hyperfine state and the momentum kick that an atom receives when emitting a photon. We present simulations of the detection scheme and discuss how it can impact both the sensitivity and accuracy of existing atom interferometers.

Speaker: Karl-Peter Marzlin

17:15 Entanglement, loss, and quantumness: When balanced beam splitters are best

Entanglement generation by beam splitters lies at the heart of quantum optics. Yet, the conjecture that maximal entanglement is generated by beam splitters with equal probabilities of reflection and transmission has remained unproved for two decades. I will show how we proved this conjecture by studying photon loss and found corollaries throughout quantum optics.

Speaker: Aaron Goldberg (National Research Council of Canada)

16:15 → 17:45 W3-7 SYMPOSIUM: Q-STATE - Quantum and AI – hype, reality and nonsense

This session will feature panelists from across the country who will share their own experience working with Quantum and AI and then discuss what seems promising, what seems unrealistic, and what seems outright nonsensical. Audience questions will be welcome.

Panelists: Steve Rayan, Cunlu Zhou, Fabrice Retiere, Chris Coleman (TBC)

Convener: Thomas Baker (Department of Physics & Astronomy and also of Chemistry, University of Victoria)

16:15 Panel Discussion with Speakers Listed Below

16:30 Steven Rayan, University of Saskatchewan

16:45 Cunlu Zhou, Université de Sherbrooke

17:00 Fabrice Retiere, TRIUMF

17:15 Chris Coleman, The Quantum Insider (Resonance)

18:00 → 19:30 Best Student Poster Competition Finals Judging (Closed to delegates) | Jugement des finales de la compétition d'affiches étudiantes (session fermée)

Convener: Cornelia Hoehr

18:00 → 19:30 W-MIX Private Sector Meet and Greet Mixer Event | Rencontre informelle entre acteurs du secteur privé

Everyone is invited.

Stay tuned for information on the venue and the exact time.

Convener: Ian D'Souza

18:00 → 19:30 CAP Past Presidents' Working Dinner Meeting | Réunion et souper des ancien(ne)s président(e)s de l'ACP

Nostalgica Pub & Beergarden
601 Cumberland Private
This is the CAP Past President's Dinner Meeting with the CAP Executive. It is a private event that you had to be invited to and pre-registered for.
It will be held at Café Nostalgica (https://nostalgica.ca/ ) on campus, in the “roped- off” area in the back of the room which is also slightly raised. It has been reserved for 6h00pm on Wednesday June 24th under the name of Bela Joos.

Convener: Pierre Bénard (Université du Québec à Trois-Rivières)

19:30 → 21:00 DGEP Reception | Réception de la DEGP

All CAP delegates who support equity in physics are warmly invited to join DGEP and come to our reception. Light appetizers will be served.

Conveners: Hilding Neilson (Dept of Physics & Physical Oceanography, Memorial University of Newfoundland & Labrador), Juliette Mammei

19:30 → 20:30 Best Student Poster Competition Judges Meeting | Réunion des juges du concours de la meilleure affiche étudiant(e)

Convener: Cornelia Hoehr

Thursday 25 June

08:25 → 08:45 Congress Registration and Information (08h30-16h00) | Inscription au Congrès et information (08h30-16h00)

08:45 → 09:00 Plenary hall opens | Ouverture de la salle plénière

09:00 → 09:45 R-PLEN1 Plenary Session | Session plénière - Saniya Heeba, Carleton University

Convener: Carsten Krauss (University of Alberta)

09:00 The Universe as a Dark Matter Laboratory

One of the fundamental unanswered questions about the universe is the nature of Dark Matter (DM) — a mysterious, invisible form of matter that accounts for 80% of the universe’s total matter budget. Despite its overwhelming abundance in the Universe, the microphysical properties of DM remain poorly constrained owing to its extremely weak interactions with normal matter. This has resulted in a sprawling DM theory space with several models, potential observable signatures and search
strategies.

In this talk, I will provide a particle physics perspective on approaching the DM question and discuss the many ways it intersects with astrophysics and cosmology. I will demonstrate how to use the universe as a DM laboratory, with an emphasis on using different energy scales and ambient environments as a test bed for DM physics. Through the course of the talk, I will trace out the possible histories of DM, discuss its impact on astrophysical observables, and make contact with the expansive terrestrial DM experimental program.

Speaker: Saniya Heeba (Carleton University)

09:45 → 10:30 R-STUD-COMP1 CAP Best Student Oral Presentations Final Competition (talks 1-3) | Compétition finale de l'ACP pour les meilleures communications orales d'étudiant(e)s (présentations 1 à 3)

Convener: Cornelia Hoehr

09:45 Health Break with Exhibitors | Pause santé avec les exposants

10:30 → 10:45 Health Break with Exhibitors | Pause santé avec les exposants

10:45 → 12:00 R-STUD-COMP2 CAP Best Student Oral Presentations Final Competition (talks 4-8) | Compétition finale de l'ACP pour les meilleures communications orales d'étudiant(e)s (présentations 4 à 8)

Convener: Cornelia Hoehr

12:00 → 13:30 Break for Lunch (12h00-13h30) | Pause pour dîner (12h00-13h30)

Tickets must have been pre-purchased

12:00 → 13:00 Best Student Oral Competition Judges Meeting | Réunion des juges du concours oral des meilleurs étudiant(e)

Convener: Cornelia Hoehr

12:00 → 13:30 CNILC Business Meeting | Réunion de travail du CNILC

12:00 → 13:30 CAP-NSERC Liaison Committee Meeting | Réunion du comité de liaison ACP-NSERC

12:00 → 13:30 Special Session - Open Access, Data Repositories and Usage (CSP) | Session spéciale - Accès libre, référentiels de données et utilisation (CSP)

Intersections: Open Access, Data Repositories, and Usage – Discussion hosted by the Canadian Journal of Physics

Whether research is found by web search, in a database, or through genAI tools, its use and impact are driven by others’ access to it. For physicists, making informed choices about the home for their research outputs is therefore of utmost importance. This session explores how physicists navigate these choices, from selecting appropriate licenses and copyright arrangements when publishing research articles to considerations for the use of data and code repositories. These decisions unfold within a rapidly evolving Open Access and Open Science landscape shaped by funder mandates (e.g. current and emerging NSERC policies) and new tools for discovering and accessing research. The session will examine practical considerations and trade-offs, supporting participants in making informed choices within an evolving research landscape.

A focused presentation will be followed by an open discussion, hosted by Canadian Journal of Physics’s (CJP) Editors-in-Chief Marco Merkli (Memorial University of Newfoundland) and Zahra Yamani (Canadian Nuclear Laboratories), as well as Canadian Science Publishing representatives Jocelyn Sinclair (Journal Development Specialist, Canadian Journal of Physics) and Mike Donaldson (Director, Strategic Initiatives). Bring your lunch and your questions on anything related to the journal or research publication more broadly, including Open Access options, data and code sharing, research visibility, and responsible use of research outputs!

Hosts/Authors: Jocelyn Sinclair and Mike Donaldson (Canadian Science Publishing) and CJP Editors-in-Chief Marco Merkli (Memorial University of Newfoundland) and Zahra Yamani (Canadian Nuclear Laboratories).

Convener: Jocelyn Sinclair (Canadian Science Publishing)

13:30 → 14:00 R-MEDAL1 TRIUMF Vogt Medalist Talk | Conférence du lauréat de la médaille TRIUMF Vogt - Viktor Zacek

Convener: Alan Robinson (Université de Montréal)

13:30 Detecting Dark Matter at the Particle Level

There is overwhelming and increasingly precise gravitational evidence for dark matter, however, no experiment has yet achieved an unambiguous detection at the particle level. Current searches are now entering a qualitatively new regime in detector scale, sensitivity and detection strategy. In this talk I shall focus in particular on the superheated liquid technique, pioneered by the PICASSO experiment at SNOLAB, and subsequently further developed by PICO, now a world leading experiment in the spin-dependent WIMP interaction sector. I will also discuss recent efforts to probe the dark sector in nuclear transitions, with particular emphasis on work by the Montreal X17 collaboration.

Speaker: Viktor Zacek (University of Montreal)

14:00 → 14:15 Travel Time

14:15 → 15:45 FCC-Canada Collaboration Discussion Session | Séance de discussion sur la collaboration entre la FCC et le Canada

Following the presentations at the Future Energy Frontier Facilities for Particle Physics Symposium on the previous day, this session will focus on additional Canadian contributions to the Future Circular Collider (FCC) project and as a discussion session to organize further Canadian involvement. Members of all communities interested in the FCC, from high energy experimentalists and theorists to engineers and materials scientists, are warmly encouraged to attend and brainstorm our next steps in joining this effort.

Convener: Maximilian J Swiatlowski (TRIUMF (CA))

14:15 Developments in Calorimetry (12'+3')

Speakers: Prof. Francois Corriveau (McGill University, (CA)), Maximilian J Swiatlowski (TRIUMF (CA))

calo.pdf

14:30 FCC-ee Accelerator Developments from USask (12'+3')

Speaker: Patrick Hunchak (University of Saskatchewan (CA))

2026-06-25_hunchak_CAP_presentation_slides.pdf

14:45 Accelerator Capabilities and Interests from CLS (12'+3')

Speakers: Eduardo Nebot del Busto (CLS), Frederic Le Pimpec (CLS)

E_Nebot_CAP_FCC_2026_06_25.pdf

15:00 Discussion

14:15 → 15:45 (PPD) R1-1 Dark Matter | Matière noire (PPD)

Convener: Sukeerthi Dharani (University of British Columbia)

14:15 Status and Outlook of the AURORA Low Mass Dark Matter Detector

We present the preliminary design of the Argon Ultra‑Radiopure Observatory for Rare‑event Analysis (AURORA), a proposed experiment using doped argon and targeting dark matter in the sub‑GeV mass range. The experiment will feature a dual-phase time projection chamber (TPC) instrumented with digital silicon photomultipliers and filled with argon mixed with a few ppm of dopants, such as xenon, trimethylamine (TMA), triethylamine (TEA), or trimethylgallium (TMG), pending planned characterization at Queen’s University. The TPC design maximizes the signal‑to‑background ratio in the keV and sub‑keV energy region, while the addition of dopants photosensitive to argon de‑excitation light will further enhance the ionization yield. This approach will enable, for the first time, exploration of dark matter as light as a few tens of MeV/c$^2$, reaching down to the neutrino fog after about one year of data taking.
We will present the status of the AURORA design, progress on the simulation and validation plan and preliminary sensitivity projections that incorporate known systematics.

Speaker: Shailaja Mohanty (Queen's University, Canada)

AURORA_CAP2026_combined_slides.pdf

CAP26_Abstract_SMohanty.pdf

14:45 HVeV Run 5: The Latest Generation of High-Voltage, Electronvolt-Scale Cryogenic Silicon Calorimeters in the Search for Dark Matter

As an offshoot of the main SuperCDMS (Cryogenic Dark Matter Search) experiment, smaller instruments dubbed HVeV (high-voltage, electronvolt-scale resolution) detectors have been under continuous development to aid in the search for dark matter at masses below 1 MeV/c², achieving a much finer energy resolution than SuperCDMS. Similar to the SuperCDMS HV detectors, HVeV detectors hold silicon crystals (though scaled down to the order of one gram) that observe nuclear and electron recoils by directing phonon energy into highly sensitive transition-edge sensors, and can amplify signals from electron-hole pairs produced by recoils using applied voltage to induce the Neganov-Trofimov-Luke effect. HVeV Run 5 employed the latest HVeV detectors in a four-month data-taking campaign in 2024 at SNOLAB's CUTE facility, including a ten-day dark matter search, and demonstrated world-class sensitivity at low masses, enabling a new analysis that reaches yet unprobed regions of the dark matter parameter space. This presentation will cover the latest results from analyzing the detectors' performance and the resulting search data.

Speaker: Mason Buchanan (University of Toronto)

Slides

15:00 Background modelling at SuperCDMS

SuperCDMS is a direct detection dark matter experiment located 2 km underground at SNOLAB, designed to have particular sensitivity to the dark matter mass region <10 GeV/c2. In order to claim discovery or set new limits on dark matter properties such an experiment must have a detailed understanding of the backgrounds expected at the facility, the response of the detectors to these backgrounds, and a robust statistical framework to compare them to what a dark matter signal might look like. This talk addresses the challenges and progress in developing such a framework for SuperCDMS in preparation for first data taking this year. It includes a discussion of the key backgrounds we expect to see at SuperCDMS and lays out a ROOT-based statistical analysis framework for first science results.

Speaker: Madeleine Zurowski

CAP_Zurowski_2026.pdf

15:15 In Situ Comparison of Silicon Photomultiplier Performance in Liquid Xenon with LoLX 2

Liquid xenon (LXe) based detectors are a leading technology for low-background searches, including dark matter and neutrinoless double beta decay detection. Improving the sensitivity of next-generation experiments requires further reduction of radioactive backgrounds from detector components, motivating silicon photomultipliers (SiPMs) as a leading candidate to replace widely used photomultiplier tubes (PMTs).

The Light Only Liquid Xenon (LoLX) Collaboration operates an upgraded small-scale detector (LoLX 2) at McGill University with a ~ 5 kg LXe target. The detector is designed to study scintillation properties of LXe and the production of Cherenkov radiation. Instrumented with a total of 80 SiPMs from two manufacturers, Hamamatsu and Fondazione Bruno Kessler, LoLX 2 also allows for the direct in situ comparison of photosensor performance in identical experimental conditions, using a vacuum-ultraviolet PMT for reference.

This talk will present the results of the first experimental run of LoLX 2, including a comparison of the relative photon detection efficiency (PDE) and operational characteristics of the photosensors using laser calibrations and external gamma sources, highlighting a significant discrepancy of 33–38% in PDE for the Hamamatsu VUV-4 compared to PDE models from vacuum measurements. Supported by a comprehensive Monte Carlo simulation that includes photon transport and a detailed SiPM optical model, we resolved the discrepancy with an angular and wavelength-dependent PDE model incorporating surface shadowing effects. Prospects for the next upgrade of the system will briefly be discussed, including improved electronics for signal readout, the deployment of an internal radiation source, and the implementation of an online xenon purification system.

Speaker: Frédéric Girard (McGill University)

CAP_2026-LoLX-FG-LR.pptx

CAP_2026-LoLX-FG.pdf

15:30 Background simulation studies for the SuperCDMS experiment

SuperCDMS is a direct detection dark matter (DM) experiment which is currently in its commissioning phase at the SNOLAB underground laboratory in Sudbury, Canada. It operates cryogenically cooled Ge and Si crystals with different sensor designs to perform a broadband DM search for particles with masses $\le 10\, \text{GeV}/c^2$, thereby exploring new regions of parameter space.

Achieving this sensitivity requires an ultra-low background environment and a thorough understanding of the background composition. This relies on dedicated simulations providing sufficient statistics. SuperCDMS background simulations are based on Geant4 and cover radioactive contamination of materials, activation due to cosmogenic radiation, exposure to radon, accumulation of dust on surfaces and also cosmic muons.

Of particular interest are long-lived radon daughters which can get implanted in material surfaces. Dedicated simulation studies have been performed to investigate the implantation of $^{210}$Pb in Ge and Si crystals.

Another background study is focused on cosmic muons. Even though the muon flux deep underground at SNOLAB is only 0.27 $\mu$/m$^2$/day, muon interactions with the cavern rock or the experiment's materials can produce a large number of high-energy gammas or neutrons which may hit the detectors and mimic a potential signal.

This talk will give an overview of SuperCDMS background simulations, which serve as the foundation for a comprehensive background model. I will also discuss the $^{210}$Pb implantation studies and give an example of how to simulate cosmic muons with Geant4.

Speaker: Birgit Zatschler (Laurentian University, SNOLAB, University of Toronto)

CAP2026_Background_simulations_SuperCDMS_birgit_zatschler.pdf

14:15 → 15:45 (DPMB) R1-2 Quantitative Biomedical Imaging and Sensing II | Imagerie et détection biomédicales quantitatives II (DPMB)

Convener: Maria Kilfoil (University of Prince Edward Island / Physics)

14:15 Quantitative Ultrasound in Synthetic Transmit Aperture Imaging

Ultrasound is the most commonly used imaging modality in clinics because it is inexpensive, portable, and provides good spatial resolution with substantial penetration depth. Still, ultrasound exams often need improved contrast, and standard approaches are largely qualitative, with image quality and interpretation strongly influenced by the operator. Quantitative ultrasound (QUS), in contrast, aims to produce objective, numerical measures tied to tissue properties, which can improve diagnostic specificity.

In this work, we summarize our recent advances in reflection-mode QUS using a one-dimensional array, targeting speed-of-sound estimation, attenuation mapping, and tissue microstructure characterization. First, we derive a closed-form diffraction factor for a one-dimensional linear array, enabling reference-phantom-free QUS. Because echo intensity in a scattering medium depends on both the imaging position and probe settings, the diffraction factor is a central descriptor of the imaging system. Accounting for diffraction is critical: if left uncorrected, diffraction modifies echo amplitudes and reshapes the spectrum, introducing bias in estimates of microstructure parameters and attenuation. Although linear arrays are the most widely used transducers in clinical practice, an explicit diffraction-factor expression has been lacking; here we provide a closed-form solution for a linear rectangular array. Second, we demonstrate how this theory can be applied to attenuation imaging and tissue microstructure imaging. Finally, we introduce a new phase-aberration estimation model with potential applications to speed-of-sound imaging.

Speaker: Dr Yuan Xu (Department of Physics, Toronto Metropolitan University)

14:45 Microwave Medical Imaging: Foundations & Clinical Applications

In this talk, the current state of microwave (MW) medical technologies will be discussed, spanning from the diverse motivations to basic foundational physics to example applications. MW medical technologies have promising potential for varied applications including health monitoring, detection and diagnosis of disease, and treatment tracking. These technologies are non-invasive and non-ionizing, safe and well-tolerated. Importantly, they can also be made portable or wearable, allowing for greater accessibility. As the fundamental basis for MW medical technologies, the dielectric properties of biological tissues will be discussed. Then, research into key microwave-based medical technologies designed to address high-priority clinical needs will be highlighted.

Speaker: Prof. Emily Porter (Department of Biomedical Engineering, McGill University)

15:15 Graphene Field-Effect Biosensors: Coupling Surface Chemistry and Charge Transport

Field-effect transistors (FETs) can be repurposed from electronic components into bio/chemical sensors by exploiting the sensitivity of conductive nanomaterials to their molecular environment. Graphene is particularly well suited for the fabrication of field-effect biosensors (bioFETs) [1], owing to its chemical stability in aqueous media and its amenability to functionalization with biomolecules. As an atomically thin material, graphene is entirely a surface, making its electrical transport highly sensitive to biochemical processes occurring near its surface. However, achieving selectivity for specific molecular targets requires careful engineering of the graphene with biorecognition elements such as antibodies, aptamers, or enzymes, without significantly degrading the electronic performance of the device.

In this talk, I will present our work investigating the interplay between surface chemistry and electronic transport in graphene FETs. I will review our efforts to control a variety of functionalization strategies, including both covalent and non-covalent approaches, with emphasis on our recent advances in gate-controlled surface chemistry [2]. I will also describe our ongoing development of parallelized instrumentation for the high-throughput fabrication and characterization of on-chip graphene bioFET arrays [2,3]. Finally, I will discuss translational perspectives toward integrating nanocarbon-based bioFETs into lab-on-a-chip platforms for biomedical diagnostic applications.

[1] Béraud et al. Analyst, 146, 403 (2021)
[2] Bazán et al. Nano Letters 22, 2635 (2022)
[3] Bencherif et al. npj 2D Materials and Applications, 8, 53 (2024)

Speaker: Prof. Delphine Bouilly (Département de Physique, Université de Montréal)

14:15 → 15:45 (DAMOPC) R1-3 Probing High-energy Physics Using Nuclear Shape and Other Topics | Explorer la physique des hautes énergies à travers la forme des noyaux et d'autres thèmes (DPAMPC)

Convener: Kasia Kowalczyk (National Research Council Canada)

14:15 Probing ultra-high-energy physics using the shape of a nucleus

The nature of dark matter, and the origin of the matter-antimatter imbalance of the universe, are intriguing open questions in high-energy physics and cosmology. The breakdown of time-reversal symmetry (T) at ultra-high energy scales is believed to underlie one or both of these puzzles. However, these energy scales lie far above the reach of particle colliders. Fortunately, we can probe the breakdown of T-symmetry at such extreme energy scales using precision measurements of nuclei and atoms. In my lab, we study ¹⁵³Eu, whose nuclear shape is highly sensitive to T-violation caused by physics outside the Standard Model. The response of the nucleus is further enhanced through electron-nuclear interactions in Eu³⁺ ions in a crystal. All of this results in characteristic energy shifts between hyperfine states that can be measured using precision radio and optical spectroscopy. I will present a gentle introduction to this program of research, and discuss my group's T-violation search experiments.

Speaker: Dr Amar Vutha

14:45 Spin Magnetometry with Reinforcement Learning

Quantum sensors achieve measurement precisions well beyond classical bounds, though in order to reach such sensitivities methods for quantum optimal control are often employed, particularly in systems where decoherence is important; however, optimizing the control of quantum sensors is made difficult by the fact that not all Hamiltonian parameters are known. Here we investigate the use of reinforcement learning (RL) for optimal control of a spin magnetometer, wherein a single spin evolves according to an unknown background field. We apply the soft actor-critic RL algorithm to learn a policy, from which a set of transverse control fields may be sampled to improve the sensitivity of the magnetometer in time, in the presence of decoherence. The agent is trained so as to maximize the quantum Fisher information of the spin with respect to the unknown field. We train the agent on numerical simulations of the system, and then apply the resulting agent to various conditions not seen in training. We find that the agent is sensitive to certain changes in the system Hamiltonian, but overall is able to generalize well, supporting the use of such algorithms in quantum optimal control problems.

Speaker: Dr Logan Cooke (University of Ottawa)

15:00 Optimizing Diamond Betavoltaic Cells for Operation under Tritium Beta Radiation

Betavoltaic energy conversion uses a semiconductor device to convert beta radiation (high-energy electrons) from a radioisotope to generate electrical power. Current challenges include designing semiconductor structures that minimize backscattered electrons, non-radiative carrier recombination, and maximize minority carrier diffusion lengths. Diamond is a promising material to tackle these challenges. In this work, we numerically modeled a diamond betavoltaic cell to convert beta radiation into electricity. We optimized the thickness and doping of the diamond structure to maximize the output power.

Our numerical model uses Monte Carlo simulations to quantify energy deposition profiles as a function of depth in diamond. A custom software converts the energy density profile into an electron-hole pair generation rate profile. The generation rate profiles are sent to the software Sentaurus to assess the diamond betavoltaic cell performance under beta radiation by solving Poisson, drift, and diffusion equations. The model includes series and parallel resistances, doping-dependent carrier mobility, Schottky-Read-Hall recombination, and Auger recombination. Validation against experimental data demonstrates that our numerical model reproduces betavoltaic conversion mechanisms with high fidelity. We use a custom high-dimensionality particle swarm optimization algorithm to find optimal layer thicknesses and doping for maximum power output.

Results show that diamond is suited to maximize energy absorption through reduced backscattered electrons, due to its lower atomic number and lower density compared to other semiconductors. Diamond can absorb 5% more energy than SiC, 18% more than GaN, and 25% more than GaAs. Optimal diamond structure enables a carrier collection that exceeds 95% over a wide range of beta particle energies. High carrier collection can be explained by large minority carrier diffusion lengths, which also limit bulk recombination. The primary carrier-collection losses are attributed to surface recombination, which is exacerbated by the absence of a wider-bandgap passivating semiconductor on the device surface. Optimal devices have a conversion efficiency of 30%, outperforming GaAs betavoltaic cells by an order of magnitude. A tolerance study demonstrates that significant variations in thickness and doping induce a maximum power reduction of at most 5%.

Speaker: Mathieu de Lafontaine (University of Ottawa)

15:15 Time-domain investigation of strong-field driven core-electron associated recollsion physics

Time-dependent response of strong-field driven multi-electron correlated photorecombination process is investigated by employing the perturbed trajectory measurement method. It is well-known that field-free xenon has a very large photoionization cross section around the photon energy of 80 eV as giant plasmonic resonance due to the electron-electron interaction between 4d and 5p orbitals. However, the time-dependent response of a xenon atom interacting with a strong laser field has not been investigated in attosecond time scale. Therefore, we perform the all-optical measurement of the strong-field photorecombination associated with xenon giant plasmon resonance and verify a large shift of recollisional emission time compared with the ordinary atto-chirp.
We carry out numerical simulations using time-dependent density functional theory that reproduce the large deviation of recollision emission, resulting in an attosecond pulse influenced by the giant plasmon resonance of xenon. The model we use for an atom with many electrons is a superposition of metallic shells since xenon has 54 electrons with a huge volume. The attosecond pulse calculated with the modeled atom shows characteristic features of the measured dipole radiation, making in good agreement.
We also confirm that the maximum photon energy of the attosecond pulse can exceed the cut-off estimated by the conventional theory based on the single active electron approximation. For this purpose, we calibrate the laser intensity via the cut-off photon energy of argon. Then, using the same argon-calibrated conditions, we realize that the maximum recollision energy goes over the theoretical limit, sometimes substantially, implying that the ion plays a role. We must include the plasmon’s Stark shift and whatever else might shift the resonance.
We expect that the strong-field physics associated with core electrons will modify the response of atoms and molecules on sub-cycle time scale. Eventually, it will allow us to gain optical access to control core hole dynamics.

Speaker: Dong Hyuk Ko

14:15 → 15:45 (DCMMP) R1-4 Hard Matter 6 | Matière dure 6 (DPMCM)

Convener: Young-June Kim (University of Toronto)

14:15 Additive mechanosynthesis of carbon dimers through selective hydrogen depassivation of the Si(100) surface

Atomically precise fabrication through the controlled reactivity and placement of chemical species was one of the goals defined within the earliest visions of nanotechnology. A first example of this, the controlled abstraction of a hydrogen atom from a passivated Si(100) surface through subtractive mechanosynthesis using a novel molecule (EAOGe-C2I) and inverted-mode scanning tunneling microscopy (IM-STM), has recently been reported [1]. The design criteria used in the development of this molecule produced a general structural framework for both the abstraction and donation of chemical groups to surfaces based on the reactivity and the competitive bonding of molecular fragments to a reactive surface [2].

This work demonstrates mechanosynthetic donation of C2 from an activated (de-iodinated) EAOGe-C2I molecule to a Si(100) build site . To promote controlled additive mechanosynthetic outcomes, the Si(100) surface was hydrogen-passivated, and bonding sites were selectively activated through dangling bond patterning. This site-specific activation of the build site facilitates the transfer of C2 into the target configuration – an inter-dimer-row bridging geometry of the Si(100)-2x1 surface reconstruction (“IR- C2”) – with high selectivity, marking the first controlled, repeatable example of additive mechanosynthesis and the first report of a carbon dimer in this configuration on silicon.

[1] E. Barrera et al., “Inverted-mode scanning tunneling microscopy for atomically precise fabrication,” arXiv:2512.24431 [cond-mat.mes-hall] (2025), https://doi.org/10.48550/arxiv.2512.24431 (submitted for peer review).

[2] T. Huff et al., “Molecular tools for non-planar surface chemistry,” arXiv:2508.16798 [cond-mat.mtrl-sci] (2025), https://doi.org/10.48550/arXiv.2508.16798 (submitted for peer review).

Speaker: Megan Cowie (CBN Nano Technologies Inc.)

14:30 Interfacial Engineering and Electrochemical Performance of Layer by Layer Assemble Bilayers MAPbI3/CdS Nanostructured Thin film

The report presents innovation and development of a novel architecture of easily preparation of bilayer of Methy ammonium lead iodide (MAPbI_3) perovskite thin films and, self-synthesized Cadmium sulphide (CdS nanocrystal deposited on Fluorine doped tin oxide (FTO) to obtained high specific capacitance, energy and power of higher density and extended life for application as electrode in electrochemical capacitors. CdS nanocrystals deposited on FTO were used to support the accessible the electrolytic surface area of redox active MAPbI_3 top layers. A layer by layer self-assembly technique was used in other to increase processability of MAPbI_3 and pulsed laser ablation in liquid was utilized to structurally modified the CdS. Maximium areal capacitances of 141 μFcm^(-2), based on the MAPbI_3/CdS bilayers electrodes, was obtained for the symmetric electrochemical capacitor by cyclic volumetric (CV) technique with scanning rate of 0.001 V/s with potassium hydroxide dissolved in a pure 1.0 gmL^(-1) solution of polyvinyl alcohol-chlorobenzene electrolyte. The device demonstrated exceptional rate capability and long-life cycling stability with above 87% of the original areal capacitance been preserved after 4000 cycles. These finding suggested that MAPbI_3/CdS/FTO design holds a great promise development of high performance electrochemical capacitor.

Speaker: Abiodun Adeoye (Abiola Ajimobi Technical University, Ibadan. Nigeria)

Abstract for CAP 2026.docx

15:00 Quantum oscillations in hybridization-gap insulators

The de Haas-van Alphen (dHvA) effect has long been regarded as a definitive signature of a metal, because the theory is formulated in terms of the emptying of quantized Landau levels as they pass through the Fermi surface. In this picture, there should be no oscillatory magnetization in an insulator because there is no Fermi surface for the Landau levels to cross. Thus, the observation of dHvA oscillations in the Kondo insulator SmB$_6$ [1, 2] was a surprise. Almost equally surprising, a possible, very simple, theory of these quantum-oscillations-without-a-Fermi-surface was soon found: Knolle and Cooper [3] showed that quantum oscillations emerge in a straightforward calculation of the thermodynamic potential of a narrow-gap insulator with Landau-quantized states. The physical origin of these oscillations was, however, unclear, and a source of some confusion. The purpose of this somewhat pedagogical talk is to present a simple semiclassical picture that shows that the anomalous Knolle-Cooper dHvA oscillations in hybridzation gap insulators are produced by the sudden change in the diamagnetic moment of the Landau levels as they pass between regions of the valence band that have different quasiparticle velocities.Thus, nearly 100 years after the first prediction and observation of de Haas van Alphen oscillations, a qualitatively new mechanism for these oscillations has been found.

[1] G. Li, Z. Xiang, F. Yu, T. Asaba, B. Lawson, P. Cai, C. Tinsman, A. Berkley, S. Wolgast, Y. S. Eo, D.-J. Kim, C. Kurdak, J. W. Allen, K. Sun, X. H. Chen, Y. Y. Wang, Z. Fisk, and L. Li, Science 346, 1208 (2014).
[2] B. S. Tan, Y.-T. Hsu, B. Zeng, M. Ciomaga Hatnean, N. Harrison, Z. Zhu, M. Hartstein, M. Kiourlappou, A. Srivastava, M. D. Johannes, T. P. Murphy, J.-H. Park, L. Balicas, G. G. Lonzarich, G. Balakrishnan, and S. E. Sebastian, Science 349, 287 (2015).
[3] J. Knolle and N. R. Cooper, Phys. Rev. Lett. 115, 146401 (2015)
[4] some of the content of this talk was published in S. R. Julian, Canadian Journal of Physics 101, 393 (2023)

Speaker: Stephen Julian (University of Toronto)

15:15 Identifying semionic mutual braiding statistics in toric code ladders via dynamical correlators

While great progress has been made over the years to understand the physics of gapped spin liquids, their unambiguous experimental detection has remained difficult. This situation led to the development of several proposals to identify such topologically ordered states. One particularly interesting approach suggests using pump-probe spectroscopy to detect the non-trivial braiding statistics of the spin liquid gapped excitations. With this proposal in mind and considering the toric code ladder in a magnetic field, we evaluate time-dependent correlation functions revealing the presence of semionic excitations in the toric code spin liquid phase. Using time-dependent matrix product state simulations in combination with hard-core hopping models, we carefully identify the processes leading to the accumulation of the semionic statistical braiding phase. We contrast these results with the behavior of the same dynamical correlator evaluated in the magnetically polarized phase where these unconventional excitations are absent.

Speaker: Sean Bressette

14:15 → 15:45 (DTP) R1-5 Black Holes, Solitons, and Instantons | Trous noirs, solitons et instantons (DPT)

Convener: Saeed Rastgoo (University of Alberta)

14:15 (WITHDRAWN) Supercritical Black Holes

In conventional thermodynamic systems, supercritical behavior in systems such as van der Waals fluids and water is now under active study both theoretically and experimentally. Although liquids and gases become indistinguishable Beyond the critical point, forming a single fluid phase, it is possible to identify liquid-like' andgas-like' behaviour in the supercritical regime. Here I will discuss how to extend these considerations to black holes. I will show how an application of the Lee-Yang phase transition theorem can yield a comprehensive phase diagram for charged AdS black holes. Specifically, a generalization of the Widom line can be constructed -- as the system crosses this line in the supercritical region, the black hole goes from exhibiting liquid-like' behaviour togas-like' behaviour, without any discontinuities appearing in thermodynamic state functions.

Speaker: Robert Mann

14:30 Not all four dimensional Black Holes can spin

In the last decades, black hole solutions with non-standard topologies or non-standard asymptotic behaviour have gained considerable attention. An early example of this are the periodic static solutions in 3+1 dimensions, where infinitely many coaxial, equidistant, identical black holes are stacked in an array along the axis. Each solution is completely characterized by the area $A$ of the black holes and the distance $D$ between two consecutive black holes. These solutions are referred as periodic Schwarzschild since there is a single static horizon in the fundamental domain.

A natural question, relevant to both the context of classification of stationary solutions and to the existence of solutions with non-standard topologies, is whether a periodic Kerr solution exists or not. In this talk, we will discuss different techniques used to answer this question, in particular a recent result that shows that a static Myers/Korotkin-Nicolai solution cannot be put into stationary rotation if $12 D < \sqrt{A}$. This result establishes a novel static rigidity in 3+1 solutions.

Speaker: Dr Javier Peraza (Perimeter Institute for Theoretical Physics)

J_Peraza_CAP_2026.pdf

14:45 Self-regularized entropy: What does black hole entropy predict for tests of Kerr no-hair theorem?

We compute the canonical (brick-wall) entropy of Hawking radiation in a quantum black hole whose exterior geometry, in the strong field region, is approximated, to first order in a small quadrupole parameter, by the static q-metric, which is an exact vacuum solution of the Einstein equations. Counting near horizon quasinormal modes shows that a modest quadrupolar deformation self-regularizes the ultraviolet divergence: the entropy of Hawking radiation is finite for any non-vanishing quadrupole, without an ad hoc cutoff. Matching this canonical entropy to the Bekenstein-Hawking entropy leads to no-hair violating multipoles, at percent-to-tens-of-percent level, and provides concrete observational targets for the Next Generation Event Horizon Telescope (ngEHT) and the Laser Interferometer Space Antenna (LISA).

Speaker: Shokoufe Faraji

15:00 Fractional Skyrmions

We establish the existence of Skyrmion-type solitons that have a Z_N topological quantum number. Thus, a configuration of N such Skyrmions have a topological quantum number that is equivalent to zero. It is reasonable to accord a fractional topological charge to such solitons, 1/N. Interacting with chiral fermions, the induced fermion number on these solitons will indeed be 1/N. We show that such solitons arise in the non-linear sigma model based on the manifold corresponding to the coset space SO(N^2-1)/SU_{adj.}(N). Crucial in this analysis is that \Pi_1(SU_{adj.}(N))=Z_N.

Speaker: Prof. Manu Paranjape

Fractional Skyrmions-CAP2026.pdf

15:15 Positive mass theorems for toric gravitational instantons

A gravitational instanton is a four-dimensional, complete Ricci flat manifold with prescribed asymptotic behaviour (e.g. asymptotically locally flat). They arise in general relativity as saddle points of the Euclidean gravitational path integral. We will describe a new set of a mass comparison theorems for manifolds with non-negative scalar curvature. Their mass is bounded below the mass of a gravitational instanton `ground state' in the same asymptotic class.

Speaker: Prof. Hari Kunduri (McMaster University, Mathematics and Physics)

CAP2026.pdf

15:30 Tunable quantum thermodynamic machine enabled by a diatomic molecular system

We present quantum heat machines using a diatomic molecule modelled by a q-deformed Morse potential as a working medium. We analyze the effect of the deformation parameter and other potential parameters on the work output and efficiency of the quantum Otto and quantum Carnot heat cycles. Furthermore, we derive the analytical expressions of work and efficiency as a function of these parameters. Interestingly, our system operates as a quantum heat engine across the range of parameters considered. In addition, the efficiency of the quantum Otto heat engine is seen to be tunable by the deformation parameter. Our findings provide useful insight for understanding the impact of anharmonicity on the design of quantum thermal machines.

Speaker: Collins Edet (Universiti Malaysia Perlis)

CAP_2026_COE.pdf

14:15 → 15:45 (PPD) R1-6 Beyond the Standard Model | Au-delà du Modèle standard (PPD)

Convener: Saeid Foroughi-Abari (Carleton University)

14:15 Searches and constraints on beyond the Standard Model (BSM) physics with the ATLAS Detector

The Standard Model is the reigning theory of fundamental particles and their interactions, and has held up to rigorous test at collider experiments up to and including the LHC. Despite this, the Standard model has known shortcomings, such as it's inability to explain the origin of dark matter, the matter-antimatter asymmetry of the universe, and the fine tuning of the Higgs Boson mass. Many beyond the Standard Model (BSM) theories have been proposed to address these shortcomings, and many such theories predict signatures directly accessible at the LHC. This talk will present selected results from the ATLAS full run-2 and/or partial run-3 dataset at a center of mass energy of 13/13.6 TeV, including constraints on SUSY, exotic signatures, and BSM models with Higgs and vector boson signatures.

Speaker: John Patrick Mc Gowan (University of Victoria (CA))

CAP_2026-5.pdf

14:45 Search for Gravitational Wave-Coincident Neutrinos in DEAP-3600.

Gravitational wave observations from the Laser Interferometer Gravitational-Wave Observatory (LIGO) have been used to pinpoint the timing of several compact object mergers involving a neutron star over the past decade. These precise timestamps allow for more efficient searches for particle signals from a given merger by enabling tight coincidence-timing cuts that reduce background and allow sidebands outside these windows to be used for comparison. One such signal is neutrino emission- yet undetected but theorized to exist- which may be observable from Earth. DEAP-3600 is a liquid argon scintillation detector with minimal backgrounds designed to search for dark matter at very low energies. Its argon target allows for neutrino absorption interactions to be visible in the detector, providing a possible channel for observing neutron star merger neutrinos. During its second fill from 2017-2020, DEAP-3600 recorded data in conjunction with seven merger events observed by LIGO. This data was analyzed using an empirical background model with the goal of either identifying an interaction from a merger neutrino or refining exclusion limits set by other similar searches.

Speaker: Daniel Huff (University of Houston)

15:00 Sub-GeV dark matter from cosmic ray bremsstrahlung in the atmosphere

The null results in direct detection motivate the exploration of a broader mass range for thermal relic dark matter (DM) candidates. An intuitive new place to extend these models is to consider masses in the MeV to GeV range. One way to do this and avoid bounds from the Cosmic Microwave Background is to introduce a dark sector consisting of a dark mediator and stable DM candidate.
In this project, we explore a way that inelastic cosmic ray collisions can produce a sub-GeV DM candidate with a boosted energy spectrum via proton bremsstrahlung. The production model uses the most recent form factors for dark vector production from initial state radiation including the fitting of resonant structures. The calculation for this production mode is much more similar to an accelerator calculation than other direct detection efforts with the twist of using the cosmic ray spectrum as a varying beam energy. The DM spectrum peaking at higher energies than the galactic halo allows lighter DM candidates to produce significant recoil signals in the detector. In particular, neutrino experiments are more sensitive to these events as the detector recoil energies lie well within the experiment’s higher thresholds. The larger exposure of such experiments gives them more coverage of the phase space for DM models with a dark photon mediator.

Speaker: Branden Aitken

Aitken_slides.pdf

14:15 → 15:45 (DQI-DPE) R1-7 Resource Development | Développement des ressources (DIQ-DEP)

Convener: Ania Harlick (University of Toronto)

14:15 Preliminary Study on Open Educational Resources in Large Introductory Physics Courses

Open Educational Resources (OER) are freely available teaching materials which can be used by instructors and their students to supplement or replace traditional large publisher textbooks and other resources. This can reduce cost, and increase accessibility, to the resources required for students in university physics courses. As introductory physics course enrollment grew over the past decades, large publisher textbooks have been common for both the textbook content, and the online software they provide to facilitate the submission and grading of course assignments (as traditional assignment submissions became unfeasible to grade with typical TA resources). Therefore a barrier to using OER in large introductory physics courses is a matter of both a) the course content and b) the grading resource problem. In this talk we will discuss the implementation of OER material into multiple large introductory physics courses, and different ways the grading resource problem has been addressed in these courses. We will then discuss preliminary results from a multi-year study on this implementation, for both Science and Engineering large introductory physics courses.

Speaker: Mark Robert Baker (Western University)

14:45 Towards a Concept Inventory on Quantum Information

Concept inventories like the FCI or the BEMA have been valuable tools in studying how well students understand physics concepts, mostly at the introductory level. A few have been created for more advanced topics including quantum mechanics, but work on creating a concept inventory on quantum information has started only recently.

We will describe how we are developing our concept inventory, illustrate differences from the typical process due to the unique nature of the content and learning environments, and discuss a few surprising insights. We will also provide examples for how developing an instrument like this can inform course design and the creation of meaningful learning outcomes.

Speaker: Shania Smagh (Simon Fraser University)

15:00 Bringing Physics to Life: Free Interactive Resources for Educators and Students

The talk will introduce a new initiative co-designed in consultation with our core partners, TRIUMF and Cenovus, and funded by the NSERC Chairs in Inclusion in Science and Engineering program and Cenovus Energy. The program explores STEM career pathways and provides curriculum-aligned resources for educators, while linking students to diverse role models - particularly those from equity-deserving groups. Its overarching goal is to strengthen physics education in rural and remote communities across Atlantic Canada at the intermediate and high-school levels, while inspiring more students to consider future careers in science and engineering.

We will introduce a growing collection of free, highly interactive lesson materials that connect core physics concepts to real-world applications and in-demand STEM careers. These resources are designed for flexible use in both online and in-person classrooms, whether delivered by teachers or by guest presenters. Spanning Grade 8 through Level 3 across Atlantic Canadian provincial curricula, the lessons address topics such as energy, electricity, forces, waves, and modern physics, and explicitly highlight how these ideas are used in industry, research, and everyday technologies.

The materials are developed using the Lumio digital platform to promote hands-on, inquiry-based, and highly engaging learning experiences. The session will feature a live demonstration of selected Lumio-based physics lessons, allowing participants to experience the activities from a learner’s perspective. It will also mark the official launch of a new public website that hosts the curriculum materials, related physics resources, and tools that connect teachers with STEM role models. Throughout the session, participants will be invited to provide feedback on both the website’s usability and the pedagogical effectiveness of the interactive resources. This input will directly inform future development, ensuring that the program continues to evolve in ways that best support educators and learners across Atlantic Canada.

Speaker: Dr Svetlana Barkanova (Grenfell Campus of Memorial University)

MacKay Barkanova Neurodiversity CAP2026.pdf

ScienceQuestNorthPresentation_CAP2026.pdf

15:15 Understanding Quantum Algorithms with Board Games

The difference between quantum and classical algorithms can be difficult for students to understand, especially when problems being tackled seem abstract and efficiency scaling factors obscure realistic implementation overheads. For introductions and informal education, games provide a way for learners to develop intuition for physical and mathematical concepts by role-playing. We will present an activity that explores the quantum search (Grover’s) algorithm as a player-vs-player board game, where learners role-play as a classical and quantum computer to try to find marked elements as quickly as possible, intended for high-school students and early undergraduates. We will present how the game incorporates fundamental elements of quantum information science like probability, decoherence, quantum error correction, and measurement collapse, how it demonstrates the scaling of the classical and quantum solutions relative to each other, and the limitations of the analogies used in the game. Feedback from workshops using the game with high-school students, undergraduates, and teachers will be presented. All materials are open-source and possible to print at home, with custom 3D-printed die models available. And yes, we will have copies available to play with.

Speaker: John Donohue

2026_06_CAP_DQIDPE_QSearch.pdf

Quantum-Search-Game-Boards-Pieces-v4.pdf

14:15 → 16:00 (DSS) R1-8 Surface Science | Science des surfaces (DSS)

Convener: Mark Gallagher

14:15 Enabling Atomically Precise Fabrication Through Inverted Mode STM

In this talk, based on recently published work [1], we introduce a novel scanning tunneling microscopy (STM) method called inverted-mode STM (IM-STM), an approach that offers a fundamentally new way to do STM and enables atomically precise fabrication via mechanosynthesis. Performing reproducible manipulation of covalently bonded atoms requires control over the atomic configuration of both sample and probe – a longstanding challenge in STM. By replacing the traditionally sharp STM tip with an annealable Si probe and using tailored organic molecules deposited on a Si(100) surface as mini-tips to image this probe apex, IM-STM effectively solves this problem and provides the necessary control of both sides of the tunnel junction.

These molecules are designed to react with the probe apex; the two sides of the tunnel junction can act as chemical reagents, which can be positioned with sub-angstrom precision. This allows the Si probe apex to be utilized as a "build site": an atomically-flat, crystalline mesa where abstraction or donation of atoms from or to the probe is possible, via interactions with the surface-bound molecules. The geometry of the probe apex further enables multiple molecules to sequentially interact with the same build site. We demonstrate this by using a novel alkynyl-terminated molecule to reproducibly abstract hydrogen atoms from an H-passivated Si(100) probe apex. This approach is expected to extend to other elements and moieties, opening a new avenue for scalable atomically precise fabrication with mechanosynthesis.

[1] E. Barrera et al., “Inverted-mode scanning tunneling microscopy for atomically precise fabrication,” arXiv:2512.24431 [cond-mat.mes-hall] (2025), https://doi.org/10.48550/arxiv.2512.24431 (submitted for peer review).

Speaker: Mr Bheeshmon Thanabalasingam (CBN Nano Technologies Inc.)

14:30 Atomically Precise Silicon Abstraction by Inverted-Mode STM

Direct 3D manipulation of covalently bonded atoms remains a challenge for atomically precise fabrication. Here, we introduce inverted-mode scanning tunnelling microscopy (IM-STM) [1] as a new approach for controlled atomic-scale reactions and demonstrate its application to individual silicon atom abstraction under ultra-high vacuum and cryogenic conditions. A silicon probe chip (SPC) with an atomically clean Si(100)-2x1 crystalline terrace at the apex serves as the probe, while a silicon wafer bearing isolated, custom-synthesized, surface-bound molecular tools acts as the sample. These molecular tools function both as imaging agents and as tools for chemical manipulation in a mechanosynthesis-based process. As the sample is scanned with the SPC, each protruding molecule provides a mirror image of the probe apex, and can immediately participate in surface reactions, enabling rapid verification and repeatability. For subtractive silicon patterning we employ MAOC-C2I , a tripodal molecule featuring an ethynyl iodide (-C2I) functional group. After electrical bias pulse-induced cleavage of the iodine, the resulting C2 radical is aligned with a target Si(100)-2x1 dimer of the SPC. A controlled approach-retraction process transfers one silicon atom to the molecule, akin to “pick-and-place” fabrication. This leaves unique silicon vacancies at the target site, which we describe with IM-STM imaging and density functional theory (DFT) calculations. Imaging with new molecules elsewhere on the sample surface confirms changes to the SPC lattice, and allows iterative targeting for the next abstraction, thus enabling a new capability towards atomically precise fabrication, and general manipulation of covalently-bonded silicon atoms in 3D.

1. Barrera, E. et al. Inverted-Mode Scanning Tunneling Microscopy for Atomically Precise Fabrication. arXiv (2025) doi:10.48550/arxiv.2512.24431.

Speaker: Dr Rosemary Cranston (CBN Nano Technologies Inc.)

14:45 The effect of surface Plasma treatment on the oxidation states of Ge and SiGe

In this work we study the oxidation surface states at SiGe/Al2O3 and Ge/Al2O3 interface using X-ray photoelectron spectroscopy. The effect of different pre-deposition chemical cleaning techniques as well as an in-situ H2 plasma treatment was investigated on the oxidation states of Ge and Si at the interface. One would expect that H2 plasma cleaning could significantly suppress the SiO and GeO oxide formation by passivating the surface. We demonstrate that depositing Al2O3 directly on top of SiGe cause the non-stoichiometric SiO and GeO formation that could be detrimental to ultimate device performance due to introducing of dangling bonds at the surface. These dangling bonds could act as trap states and reduce the mobility of the carriers in the channel. Using a germanium cap layer on top of SiGe before the Al2O3 deposition can reduce some of the non stoichiometric oxide formation. We also show that an in-situ H2 plasma cleaning of the surface prior to oxide deposition can reduce the formation of trap forming oxides significantly. Our findings can be useful for device fabrication technology based on the strained germanium on silicon material platform.

Speaker: Mr Yousef Karimi Yonjali (National Research Council Canada)

15:00 Modifications of flexible organic semiconducting polymer thin films upon folding

Not only are thin films of organic semiconducting polymers on flexible plastic substrates (such as polyethylene terephthalate, PET) suitable to several applications in organic electronics, but they also present intriguing mechanical properties due to their variable degree of crystallinity, thickness, and stacking of polymer chains. These properties are controlled by the degree of tacticity of the polymer, preferential alignment of the polymer by the substrate surface, and -electron related van der Waals interactions between polymer repeating units belonging to different polymer filaments. Nonetheless, the effect of substrate folding on the mechanical properties of organic semiconducting polymer thin films are poorly understood because of the lack of detailed structure-function relationship studies. In this study, we will use a multi-technique approach based on atomic force microscopy, Raman spectroscopy and X-ray diffraction to investigate the role of substrate folding in the formation of ridges on organic thin films of poly(3-hexylthiophene) (P3HT) at different thickness, concentration of crystallization additives (including 1-dodecanethiol), and annealing temperature. Through Raman spectroscopy, we find that ridges formed upon bending may be either more crystalline or more disordered than the surrounding layer depending on the additive concentration. It is also found that taller and more prominent ridges are formed at increasing concentrations (up to 10% vol) of crystallization additive upon first-time folding of the polymeric thin film, while second-time bending in the orthogonal direction leads to shorter and less prominent ridges. This phenomenology may be the result of the interplay of shear-induced amorphization and additional crystallization due to 1-dodecanethiol diffusion in P3HT upon bending. Possible models towards the understanding of these phenomena will be discussed. Collectively, our work elucidates the critical role of mechanical properties of organic polymer thin films for their applications in flexible electronics devices, such as organic photovoltaics, light emitting diodes and thermoelectric generators.

Speaker: Xin Wei

15:15 Interface Engineering in P3HT:PCBM OPVs via TRT-Transferred Graphene Oxide and Tunable LiF Nanoparticle Deposition

Graphene oxide (GO) is a promising electron transport layer for organic photovoltaics (OPVs) due to its tunable surface chemistry and interfacial properties. In parallel, LiF nanoparticle interlayers are widely used to improve cathode contact behavior, as they provide morphological properties which contribute to energy level alignment in these devices. Here, we present a study which tests the performance of thermal release tape (TRT)-assisted GO transfer printing, both as an ETL and to transfer LiF nanoparticles under an Al electrode when spin coated on top of GO.

Devices are fabricated with the structure ITO/PEDOT:PSS/P3HT:PCBM/GO/LiF/Al. GO is introduced on top of the photoactive layer while also preserving the integrity of the active organic film. We compare multiple TRT types and release conditions to evaluate their influence on GO continuity, adhesion, O to C ratio, and effective thickness. LiF NPs are synthesized using a reverse micelle approach, where key processing parameters, including micelle loading ratio and spin-coating conditions, are systematically varied to tune NP density and distribution and relate them to different interlayer mechanisms.

Finally, photovoltaic performance in devices is measured under simulated AM1.5G illumination using current–voltage characterization to extract power conversion efficiency (PCE), short-circuit current density (Jsc), open-circuit voltage (Voc), and fill factor (FF). Trends in series and shunt resistance are analyzed to connect electrical performance to interfacial transport and recombination. By mapping device metrics against GO and LiF printing variables, this study establishes potential for carbon-based ETLs combined with nanoparticle-enabled cathode interface engineering.

Speaker: Indra Guzman Moreno (Concordia University)

15:30 Additive Mechanosynthesis of C2H Moieties on Si(100):H Using Inverted-Mode STM

Atomically Precise Fabrication (APF) is the creation of covalently-bonded structures through addition, subtraction, or manipulation of atoms or small molecules. Our approach to APF is Inverted-Mode Scanning Tunneling Microscopy (IM-STM), a mechanosynthesis-based technique that uses tailored 3D molecules deposited on a sample to scan and react with a flat, crystalline probe, enabling reagent transfer to and from the probe apex with sub-angstrom precision.[1,2]

Here, we demonstrate the transfer of C2H and C2H2 on a Si(100):H probe apex and present a novel method of determining product atomic configurations. On-surface, covalently bound C2H and C2H2 were created from the reaction of dangling bond (DB) patterns on the probe with custom 3D molecules (EAOGe-C2I) presenting either an upright C2 or C2H moiety, or “feedstock”. As these products fall outside of the limits of detection of most on-surface spectroscopic methods, we developed a method that leverages established radical chemistry trends to determine the atomic configurations of the products.

By varying DB patterning, targeting, and trajectory, transferred feedstock can form singly-bound C2H, C2 + dihydride, and on- and inter-dimer C2H2 products on the probe. Product atomic configurations were determined by interconverting the products using mechanosynthetic reactions, supported by DFT and DFTB+ simulations. Mechanistic hypotheses suggest that mid-trajectory hydrogen tunneling plays a role in reaction selectivity.

Our ability to positionally control feedstock transfers and perform sub-monolayer characterization represents a significant advancement in APF, opening new avenues for development of complex structures at the atomic scale.

Track: Surface Science

Keywords: Atomically precise fabrication, STM, Semiconductors

[1] T. Huff et al., “Molecular tools for non-planar surface chemistry,” arXiv:2508.16798 [cond-mat.mtrl-sci] (2025), https://doi.org/10.48550/arXiv.2508.16798 (submitted for peer review).

[2] E. Barrera et al., “Inverted-mode scanning tunneling microscopy for atomically precise fabrication,” arXiv:2512.24431 [cond-mat.mes-hall] (2025), https://doi.org/10.48550/arxiv.2512.24431 (submitted for peer review).

Speaker: Sam Rohe (CBN Nano Technologies Inc.)

Abstract CAP - SR.pdf

15:45 Inverted-Mode Scanning Tunneling Microscopy as a Route Towards Atomically Precise Solid-State Quantum Technologies

Solid-state qubit systems such as T centres and donor spin qubits in silicon are atomic architectures of increasing interest as promising routes toward scalable quantum technologies. These systems can exploit nuclear and electronic degrees of freedom, are optically addressable, can operate at room temperature [1,2] , and naturally exhibit sought-after quantum behaviour such as long spin coherence times [1]. These architectures are compatible with solid-state optical and electronic devices, which connects them to the vast capabilities and commercial importance of the semiconductor industry, yet challenges in their fabrication persist [2]. Most notably, there exists a capability gap in reliably positioning target atoms or few-atom functional groups with atomic-scale precision.
Here, we apply Inverted-Mode Scanning Tunneling Microscopy (IM-STM) [3], an approach which has the potential to address fabrication limitations by enabling deterministic placement of covalently-bound atoms within crystalline hosts: atomically-precise mechanosynthesis. IM-STM reverses the traditional roles of probe and sample, using flat, crystalline Si(100) mesas as probes and customized 3D molecules deposited on a Si substrate as local STM imagers. These 3D molecules enable atomically precise modification of the “probe”, including donation and abstraction of atoms to and from the surface. We demonstrate these capabilities through the orientated placement of C2H moieties on Si(100) probes into two stable surface configurations. C2H moieties play a key role in quantum applications, serving as the main constituent of T centres. Structures containing up to eight C2H units are presented, substantiating the ability to construct complex, tailored atomic structures using IM-STM. Mechanically controlled chemical reactions such as these offer a new fabrication technique to support the needs of the solid-state qubit community, where coherence, readout fidelity, and interqubit coupling strengths are strongly dependent on placement accuracy and local electronic environment.

[1] Zhang, G., Cheng, Y., Chou, J.-P. & Gali, A. Material platforms for defect qubits and single-photon emitters. Appl. Phys. Rev. 7, 031308 (2020).
[2] Chatterjee, A. et al. Semiconductor qubits in practice. Nat. Rev. Phys. 3, 157–177 (2021).
[3] Barrera, E. et al. Inverted-Mode Scanning Tunneling Microscopy for Atomically Precise Fabrication. arXiv (2025) doi:10.48550/arxiv.2512.24431.

Speaker: Hadiya Ma (CBN Nano Technologies Inc)

15:45 → 16:15 Health Break | Pause santé

16:15 → 17:30 (PPD) R2-1 Neutrinos | Neutrinos (PPD)

Convener: Nikita Blinov (York University)

16:15 The Water Cherenkov Test Experiment: Detector and Physics Lessons Towards Hyper-Kamiokande

The Water Cherenkov Test Experiment (WCTE) is a 40-ton water Cherenkov detector operated in the T9 beamline of the East Area at CERN from October 2024 to June 2025. It is instrumented with 97 multi-PMT modules, each consisting of 19 3" PMTs. Charged particles in the beam are characterized by a series of trigger scintillators and aerogel Cherenkov threshold detectors on an event-by-event basis before entering WCTE, thus enabling detailed studies of how particles with known momentum, direction, and type are reconstructed in a water Cherenkov detector. In addition, a tagged photon beam is produced using a permanent magnet and hodoscope setup.

As a technology prototype of the Intermediate Water Cherenkov Detector (IWCD) of the Hyper-Kamiokande (Hyper-K) experiment, WCTE has provided valuable experience in detector construction, commissioning, operation, and calibration.
Physics data collected during the 2025 run in both pure water and gadolinium-loaded configurations will also offer useful physics input to current and future water Cherenkov experiments, such as improved understanding of neutrino multi-nucleon interaction and pion secondary interactions. In this talk, I will present the detector systems of WCTE and discuss the preliminary results and impact on the physics goals of Hyper-K.

Speaker: Xiaoyue Li (TRIUMF)

cap_ottawa_202606-compressed.pdf

16:45 Time-Charge HEALPix Direction Reconstruction Fitter for Supernova Neutrinos in Super-Kamiokande

Supernova (SN) localization from water-Cherenkov neutrino detectors is critical for capturing early optical observations of the next galactic SN, as neutrinos are the earliest observables arriving well before shock breakout. SN neutrino bursts detected by Super-Kamiokande (SK) produce thousands of PMT time-charge (TQ) signals which contain directional information. Our current direction reconstruction pipelines at SK reconstruct the vertex, energy, and directions of all events, enabling highly resolved but computationally expensive real-time SN localization. However, our current event-level reconstruction increases the alert latency of SN directions when sending notices to the General Coordinates Network (GCN). We are developing a new direction fitter that maps individual PMT hit TQ data onto a HEALPix sphere, directly extracting directional information without relying on individual event reconstruction. In this presentation, we describe the characteristics of the TQ hit map and the directional analysis techniques used to optimize the latency of SN localization. Preliminary results show that direction reconstruction using the TQ fitter is done in O(1 sec) compared to O(90 sec) with our current reconstruction fitters, though consistent directional accuracy requires further development.

Speaker: Nikolas Boily (University of Regina)

TQ-HEALPix_Fitter-ntcb.pdf

17:00 Multi-PMT detectors for Hyper-Kamiokande

Multi-PMT detectors for Hyper-Kamiokande

The Hyper-Kamiokande Far Detector is a 258 kilotonne water Cherenkov detector under construction in Kamioka, Japan. The experiment will use accelerator, atmospheric, and astrophysical neutrinos to search for new physics with unprecedented statistical accuracy. Light from neutrino interactions is detected by 20,000 20" PMTs and 800 multi-PMT detectors, which are an important part of the calibration of the detector. The Canadian LED-mPMT variants contribute to the suppression of the systematic errors of the experiment. The mPMTs provide increased angular resolution and are less vulnerable to stray magnetic fields, allowing accurate calibration of the Far Detector and increased energy resolution. The LED-mPMT variant includes 5 ultra-fast LED-based light injectors with custom collimators and diffusers. This will aid in measuring the optical properties of the ultra-pure water and determine accurately the angular response of the 20" PMTs in Hyper-Kamiokande.

In this talk I will present the LED-mPMT detectors being assembled and commissioned at Carleton University. I will describe their operation at the Far Detector and the unique role they play towards the control of systematic errors in the Hyper-Kamiokande Experiment.

Speaker: Robert Collister (Carleton University)

RCollister_Multi-PMT detectors for Hyper-Kamiokande Far Detector.pdf

17:15 Neutron backgrounds for ARGO

The Global Argon Dark Matter Collaboration (GADMC) is designing a direct detection dark matter experiment using liquid argon, named ARGO. ARGO will utilize 400 tonnes of underground argon, with a fiducial volume of 300 tonnes. The activity of long-lived beta-emitter $^{39}$Ar will be reduced by at least a factor of 1000 in underground argon compared to atmospheric argon. This reduction decreases electron-recoil backgrounds in the dark matter search region, making it feasible to scale up to the ARGO detector which is two orders of magnitude larger than the currently operational DEAP-3600 experiment.

Since neutrons can produce nuclear recoils through elastic scattering and mimic dark matter signals, mitigating this background is crucial during the early stages of detector designs. We have performed detailed simulations using the RAT software framework, based on GEANT4 and ROOT, to assess radiogenic neutron backgrounds and develop strategies for their mitigation. In my talk, I will present the latest results from this study, with the goal of achieving less than one neutron leakage for a 3000 tonne·year exposure of ARGO.

Speaker: Susnata Seth (Carleton University)

ARGO-SSeth_Final.pdf

16:15 → 17:30 (DPP-DASP) R2-2 Plasma, Atmospheric and Space Physics | Physique des plasmas, de l'atmosphère et de l'espace (DPP-DPAE)

Convener: Richard Marchand (University of Alberta)

16:15 Precision of Total Electron Content Estimated Using GPS Observables

Total Electron Content (TEC) measurements derived from Global Positioning System (GPS) signals have become indispensable for application-driven ionospheric characterization, detection and characterization of “weak ionospheric signals” resulting from seismic and weather activities, underpinning the accuracy of satellite navigation, space weather forecasting, and ionospheric corrections in communication systems. Therefore, scrutiny of the precision of GPS-derived TEC is essential. Suppose all error sources are accurately identified and accounted for, code-based TEC determinations provide an absolute measure of TEC, albeit with modest precision, due to significant measurement noise and multipath errors where as carrier-phase observations are far more precise, but inherit an unknown integer ambiguity. The precision of GPS-derived TEC depends on careful mitigation of several error sources and two significant assumptions. A primary factor is the differential code bias (DCB) whose magnitude can reach several to tens of nanoseconds (equivalent to many TECU), making them a significant error source if uncalibrated. Modern TEC processing thus relies on robust bias calibrations, often using global networks and stable reference models, to remove these inter-frequency biases. Another major concern is multipath and measurement noise, which predominantly affect code measurements. Improved antenna design and receiver technologies have helped minimize the impact of multipath, but residual multipath can still limit precision in degraded signal environments.
Most previous efforts on determining the precision of TEC measurements have focused on the hardware and DCB, with very little attention given to the assumptions on the ionospheric condition made in estimating the TEC. Two primary considerations were made in the estimation of TEC using GPS observables: a) the ionosphere is purely refractive, and b) higher-order effects. The effect of these two considerations was never scrutinized in the precision of the TEC estimated using GPS observables. In this study, we examine the effect of these two considerations on the relative TEC precision using high-data-rate (100 Hz) phase observables of L1, L2, and L5 frequencies. The ionospheric conditions under which the precision deteriorates will be discussed.

Speaker: Matheus Maica (University of New Brunswick)

16:30 JWST/MIRI-MRS Integral-Field Spectroscopy of the Galactic Center and IRS 16 NW

This study presents a spectroscopic analysis of the central few parsecs around Sgr A* using the Mid-Infrared Instrument in Medium-Resolution Spectroscopy (MIRI-MRS) Integral-Field Spectroscopy (IFS) mode on JWST. Data consist of calibrated three-dimensional spectral cubes spanning the full MRS coverage λ∈[4.9, 27.9] μm at resolving power R∈[1330, 3750]. From these cubes we derive region-integrated spectra that trace dynamics in the immediate environment of the Galactic Center (GC). The spatial sampling and spectral resolution provide the first systematic mid-IR integral-field view of these dynamics at the GC. As an initial application, a 13-spaxel aperture spectrum of the Ofpe/WN9 star IRS 16 NW is analyzed in Channel 1. Residual sub-band discontinuities are corrected by anchoring to the most photometrically stable sub-band and applying additive offsets at seams. Candidate emission and absorption features are isolated via sliding-median continuum subtraction and a prominence-based significance test, then identified by rest-wavelength matching within standard GC velocity bounds. Lines are refined through multi-component deblending (with Gaussians) and velocity-based association across lines. Unknown lines and potential implications are discussed.

Speaker: Zachary Ireland (University of Toronto)

CAP Congress 2026 Presentation.pdf

16:45 CHASM: A Bayesian Framework for Predicting Ionospheric Scintillation Over the Canadian Arctic

Rapid fluctuations in GPS signal phase and amplitude—known as scintillation—degrade positioning accuracy in high-latitude regions. This work introduces the Canadian High Arctic Scintillation Model (CHASM), a Bayesian inference framework that predicts scintillation probability and intensity over the Canadian Arctic with high spatial and temporal accuracy under both quiet and disturbed geomagnetic conditions.
Using GPS observations from the Canadian High Arctic Ionospheric Network (CHAIN) spanning Solar Cycles 24 and 25 (2008–2024), we processed raw data to remove multipath effects, radio-frequency interference, and instrumental noise. Scintillation occurrence rates were quantified using σφ and S4 indices as functions of magnetic latitude and local time, revealing distinct spatiotemporal patterns. These climatological insights were statistically linked to key solar-terrestrial drivers such as F10.7 solar flux, solar wind parameters, interplanetary magnetic field orientation, and ground-based geomagnetic field variations.
The Bayesian approach first assesses the independence of predictor variables, then constructs prior probabilities for multinomial classification. Posterior probabilities are computed for arbitrary sets of predictors, enabling flexible forecasting. The model captures most variations seen in measured indices, whether associated with transient interplanetary events or background ionospheric conditions. Model accuracy is measured and demonstrated using cross-correlation analysis, yielding high-resolution forecasts of scintillation indices. This work advances the ability to forecast scintillation and mitigate its impact on navigation and timing systems in the Arctic region.

Speaker: Melika Bazargani (University of New Brunswick)

DASP_CAP2026.docx

17:00 Detection and Analysis of XRD Effects on PIXL XRF Spectra

The Planetary Instrument for X-ray Lithochemistry (PIXL) is an instrument on the Mars 2020 rover. It provides high spatial resolution X-ray fluorescence (XRF) spectra of Martian samples. The instrument has a spot size of ~150um and is mounted on the rovers arm, allowing rastering over a ~cm^2 sample. Although it is not a dedicated X-ray diffraction (XRD) instrument, the dual detectors of the instrument, positioned at opposing angles to the target, can sometimes capture X-ray diffraction (XRD) signals. These artifacts can skew elemental abundances, particularly for transition metals such as Fe, Mn, Ca, and Ni, complicating mineralogical interpretations. This project aims to identify, analyze, and eventually model these XRD effects to extract the likely mineralogy of the samples. Detector comparisons are used to statistically flag anomalous signals beyond expected counting noise. Differences are modeled with a constant calibration factor plus Gaussian peak fitting to isolate diffraction contributions. The resulting PIXL data from Mars 2020 will be compared with chemistry and mineralogical results from the Alpha Particle X-ray Spectrometer (APXS) on the Mars Exploration Rover (MER) and Mars Science Laboratory (MSL) missions. By applying this approach across entire rasters, we aim to extract both robust XRF compositions and complementary diffraction information.

Speaker: Annika Vetter

16:15 → 17:30 (DAMOPC) R2-3 Atomic Theory | Théorie atomique (DPAMPC)

Convener: Dr Amar Vutha

16:15 Quantum dark bands and dynamical phase transitions

Traditionally, phase transitions are considered in equilibrium. However, over the past decade there has been considerable interest in non-equilibrium or dynamical phase transitions (DPTs) where time plays the role of the control parameter and the transition happens at a critical time. DPTs have been primarily studied in the context of quantum many-body systems, including in experiments on cold atoms in optical lattices and also trapped ions. In this talk I will show an unexpected connection between DPTs and an everyday natural phenomenon: rainbows. We will see that Alexander's dark band (the dark band between the primary and secondary bows in rainbows described by Alexander of Aphrodisias around A.D. 200) is essentially the same phenomenon as a DPT.

Speaker: Dr Duncan O'Dell (McMaster University)

ODELL_CAP_congress_2026.pdf

16:30 Amplitude squeezing with pulsed second harmonic generation

We introduce a novel computational method for simulating amplitude squeezing in an optical parametric amplifier (OPA), allowing us to include some of the quantum properties of the pump pulse. The theoretical treatment of squeezing in an OPA is usually performed by assuming that the pump pulse is classical and unchanging, with some methods including the effects of changing pump pulse amplitude. The quantum aspects of the pump are usually ignored. This is a good approximation for squeezed vacuum generation, since the quantum fluctuations of the pump do not couple to the squeezed vacuum state. Quantum fluctuations of the pump are important when there is a nonzero input signal to the OPA, as is the case for amplitude squeezing.

Our method models some of the quantum properties of the pump and signal by invoking the Gaussian approximation for both the signal and pump quantum states. We calculate the first and second moments of the quantum states using a pseudo-spectral evolution of the equations of motion. This allows us to study the 3D multimode properties of the bright squeezed states produced by an OPA, including the change in the amplitude of the pump pulse, and the quantum fluctuations of the pump pulse.

Second-harmonic generation (SHG) can produce a second-harmonic field that is itself squeezed. We study pulsed SHG and characterize the maximum amplitude squeezing that can be obtained in both the fundamental and second harmonic pulses. The fact that the second harmonic pulse is squeezed is relevant to amplitude squeezing, since most experimental implementations use SHG to produce the pump pulse that is used in the OPA. We further study the impacts of using a squeezed second-harmonic pulse on the amplitude squeezing performance. Both of these studies are made possible by the development of our novel computational method.

Speaker: Peter Rose (University of Ottawa)

16:45 Large Momentum Diffusion from the Dipole Force of Travelling Waves

In the presence of a resonant light field, atoms of a gas spontaneously scatter photons in random directions, leading to a momentum diffusion $D$ that causes the temperature to increase at a rate proportional to the spontaneous emission rate. When light is detuned from the atomic resonance by a frequency $\Delta$, the scattering rate decreases rapidly resulting in $D_A \propto 1/\Delta^2$. In a standing wave configuration, atoms redistribute photons through stimulated emission and experience a dipole force proportional to $1/\Delta$. However, this redistribution process does not lead to momentum diffusion, as photons from a standing wave state $\big[ |+\rangle + |-\rangle \big]/\sqrt 2$ can only be transferred between counterpropagating components of the same quantum state. Since the average momentum of the state is zero, there is no momentum diffusion, indicating that the force is conservative. This property allows for experimental trapping of cold atoms with a very low heating rate.

This work addresses the case where the dipole force is generated by independent travelling waves in the weak field limit, described by a statistical mixture of photons within a reservoir. In this context, photon redistribution between travelling waves causes a momentum kick in a random direction, resulting in a dipole force that is no longer conservative. The irreversible process yields a diffusion coefficient proportional to the stimulated emission rate $D_B \propto 1/\Delta$, which is in general much larger than in the case of a standing wave. This can significantly increase the temperature of atoms interacting with broadband radiation.

We examine the implications of this large heating rate on the temperatures of Earth’s and stellar atmospheres, as well as for general heating processes in astrophysics. Additionally, I propose an experiment using an atom interferometer that could detect momentum diffusion of atoms resulting from the travelling waves of independent counter-propagating beams generated by broadband laser sources.

Speaker: Louis Marmet (York University)

2026-Marmet-CAP.pdf

17:00 Pure and Mixed State Entanglement Dynamics in Tavis–Cummings Model with Squeezed Coherent Thermal States

We investigate how environmental noise and atomic state purity jointly shape entanglement dynamics in a two-atom cavity QED system described by the single-mode Tavis–Cummings model. The atoms are initially prepared either in maximally entangled Bell states or in mixed Werner states, while the cavity field is modeled by generalized single-mode squeezed coherent thermal states, allowing thermal and quantum noise to compete on equal footing. Atom–atom and atom–field entanglement are characterized using concurrence and negativity, respectively.

We show that thermal photons strongly degrade entanglement and prolong entanglement sudden death, whereas squeezing counteracts decoherence and enhances entanglement resilience. A central result is the striking qualitative difference between pure and mixed atomic states: Bell states not only sustain stronger entanglement but also actively induce nonclassical field states, while Werner states suppress both entanglement and field nonclassicality, even in the presence of squeezing.

We further demonstrate that interaction mechanisms such as dipole–dipole coupling, detuning, and Kerr nonlinearity provide powerful tools for controlling entanglement flow. In particular, Kerr nonlinearity enables tunable redistribution of entanglement between atomic and atom–field subsystems, with the direction and efficiency of transfer governed by the initial atomic mixedness.

Our results highlight atomic state purity as a key control parameter for protecting and steering entanglement in noisy light–matter systems, with implications for realistic cavity-based quantum technologies.

Speaker: Kous Mandal (University of Windsor)

16:15 → 17:30 (DCMMP) R2-4 Hard Matter 7 | Matière dure 7 (DPMCM)

Convener: Stephen Julian (University of Toronto)

16:45 Generation of charge and spin currents via uniform dissipative processes

In open quantum systems, non-trivial transport properties are commonly achieved using inhomogeneous setups, for example, by coupling systems to different baths at their edges. Considering a two-dimensional fermionic system with broken inversion and time-reversal symmetries, we demonstrate that both spin and charge currents can also be generated via translationally invariant system-bath couplings. Both currents are found to be robust to dephasing, and their relative magnitudes can be tuned by adjusting the internal phase of the dissipator.

Speaker: Jean-Sébastien Bernier (University of Northern British Columbia)

17:00 Memristive Random Nanowire Networks for Neuromorphic and Reservoir Computing

Neuromorphic systems are circuit interconnects designed to emulate the neural processing of a biological brain. Artificial synapses can be reproduced by controlling emergent complex phenomena observed in a distinctive class of self-assembly (network) materials exhibiting memristive behaviour in their contact points. Such memristive interfaces work as smart resistive switches whose resistance depends on the history of the input voltage/current. When integrated into the right circuit environment, these networks can mimic certain brain functions, e.g., data recognition, time-series learning, memorization, and fault-tolerant processing. To date, the design of neuromorphic network devices is restricted to highly customized approaches, with no standardization of their training and fabrication protocols. We developed an innovative computational platform designed to model the memristive characteristics and dynamical response of neuromorphic network devices with adaptive behaviour towards changes in their electrical properties. In particular, we demonstrate that network materials made of randomly distributed core-shell nanowires are promising memristive architectures for neuromorphic applications and reservoir-based computing operations such as electrical potentiation and waveform transformation, due to their connectivity, recurrence, and neurosynaptic-like behaviours. Our findings are expected to have important implications for the development of neuromorphic devices based on reservoir computing and complex nanomaterials.

Speaker: Claudia Gomes da Rocha (University of Calgary)

17:15 Slow quantum dynamics in the triangular lattice quantum dimer model

The non-equilibrium dynamics of closed non-disordered quantum systems can be significantly affected by the presence of constraints. While equilibration generally takes place in these systems, it is often severely slowed down by a separation of timescales leading to pronounced metastability. Considering the triangular lattice quantum dimer model, we report on the existence of several relaxing regimes when interactions dominate over kinetic energy. We show that multiple metastable regimes can be accessed by varying the relative interaction strength between the six different flippable plaquette arrangements.

Speaker: Adam Galante

16:15 → 17:30 (DQI) R2-5 Quantum Photonics II | Photonique quantique II (DIQ)

Convener: Daria Ahrensmeier

16:15 From Testing Reality to Certifying Randomness: The Leggett–Garg Trilogy and QRange

The Leggett–Garg inequality (LGI) was originally proposed as a way to test “macrorealism”: the classical intuition that a system always possesses definite properties, whether or not we look. In this talk, I will describe how a trilogy of experiments on LGI takes us from precision tests of quantum reality to a practical route for certifying randomness, culminating in our QRange quantum random number generator.
In the first part, I will focus on a single-photon interferometric architecture in which we realise one of the most loophole-tight tests of macrorealism to date [1]. By combining LGI and related No-Signalling-in-Time conditions with careful control of measurement invasiveness, detector inefficiencies, multiphoton contamination and preparation/coincidence loopholes, we obtain a clear and robust violation of macrorealist bounds for a genuinely single system evolving in time.
The second part explains how such temporal correlations can be turned into a resource. By mapping the observed LGI violation to a lower bound on min-entropy, we obtain semi– device-independent guarantees on the unpredictability of the measurement outcomes, and demonstrate LGI-based quantum random number generation in a photonic platform [2]. Finally, I will show how the same temporal-correlation framework can be implemented on contemporary noisy quantum processors [3], providing a platform-agnostic route to certified randomness.
I will conclude by outlining how these ideas are engineered into QRange, a deployable QRNG module in which “testing reality” via LGI becomes the underlying certificate for high-quality randomness, with applications to cryptography, simulation and AI-oriented workloads.
1. Loophole free interferometric test of macrorealism using heralded single photons, K.Joarder, D.Saha, D.Home, U.Sinha, PRX Quantum, 3, 010307, 2022.
2. Single system based generation of certified randomness using Leggett-Garg inequality, P.P.Nath, Debashis Saha, Dipankar Home, U.Sinha, Physical Review Letters, 133, 020802, 2024.
3. Certified random number generation using quantum computers, P.P. Nath, A.Sinha, U.Sinha, Frontiers in Quantum Science and Technology, Vol.4, 2025, https://doi.org/10.3389/frqst.2025.1661544

Speaker: Prof. Urbasi Sinha (University of Calgary and Raman Research Institute, Bengaluru)

16:45 Stochastic Modeling of a Memory-Assisted Measurement-Device-Independent Quantum Key Distribution System in Fiber Optics Metropolitan Environments

The vision of a global quantum internet is at once ambitious and enthralling, but building metropolitan quantum key distribution (QKD) networks faces real world challenges, including atmospheric turbulence, channel loss, and the need for synchronization between users.
The application of metropolitan-scale quantum key distribution (QKD) networks is a critical step toward global quantum-secure communications. This talk presents a stochastic model for predicting key rates in a Memory-Assisted Measurement-Device-Independent QKD (MA-MDI-QKD) system operating over fiber optic cables. By incorporating asynchronous quantum memory loading through a Monte Carlo-based global/local clock scheme, the model accounts for real-world parameters such as fibre losses, detector efficiencies and dark counts, and quantum memory efficiency and coherence time. Simulations for metropolitan distances of 10–50 km demonstrate that asynchronous MA-MDI-QKD outperforms direct BB84 and synchronous MDI-QKD protocols, particularly at longer ranges where the memory-assisted architecture reduces the effective transmission distance by half. The tool provides a practical, open-source framework for designing and optimizing MA-MDI-QKD networks in urban environments, offering valuable insights for the integration of quantum communications into existing metropolitan infrastructures.

Speaker: Amber Hussain (Carleton University)

17:00 Stochastic Modeling of a Memory-Assisted Measurement-Device-Independent Quantum Key Distribution System in Free-Space Metropolitan Environments

The implementation of metropolitan-scale Memory-Assisted Measurement-Device-Independent Quantum Key Distribution (MA-MDI-QKD) stands as a crucial milestone on the pathway to global quantum secure communication. In this presentation, I will present a simplistic and intuitive stochastic model to predict key distribution rates in a MA-MDI-QKD scheme that addresses the real world parameters inherent to free-space quantum communication channels. Specific to my algorithm, the memory-assisted based system allows us to leverage the advantage of asynchronously loaded quantum memory when predicting the distribution rates. Specifically, by focusing on metropolitan distances, I will perform simulations tailored toward a system based on free-space links and field-deployable quantum memory. The model shown will predict key rate distributions over ranges of 10- 50 km for a set of atmospheric-based parameters and selection of QM efficiencies and coherence times. This tool provides impactful insights into the deployment and optimization of practical MA-MDI-QKD networks in urban environments. This streamlined approach is a valuable addition to existing quantum network simulators for the smooth integration of quantum networking into the field of communications engineering.

Speaker: Fares Nada (Aerospace Engineering Student at Carleton University)

17:15 Discussion

16:15 → 17:30 (PPD) R2-6 Rare Events | Événements rares (PPD)

Convener: Bruce Howard (York University & Fermilab)

16:15 PIONEER: A next-generation rare pion decay experiment

PIONEER is a rare pion decay experiment that will run at the Paul Scherrer Institute (PSI) in Switzerland. In its initial phase, the primary objective is to significantly improve the measurement of the pion leptonic decay branching ratio:
$R_{e/\mu} = \mathcal{B}(\pi \to e\nu(\gamma)) / \mathcal{B}(\pi \to \mu\nu(\gamma))$. PIONEER aims to surpass the precision of the current best measurement, obtained by the PIENU experiment at TRIUMF, by more than an order of magnitude. This improvement would bring the experimental precision of $R_{e/\mu}$ to the $10^{-4}$ level, matching the accuracy of Standard Model calculations and providing a stringent test of lepton flavour universality.
To achieve this ambitious goal, PIONEER will exploit the world’s most intense pion beam at PSI, an active silicon-strip target based on Low Gain Avalanche Detectors (LGADs), and an optimized calorimeter geometry. This talk will present an overview of the experiment and its physics program, including searches for sterile neutrinos and tests of Cabibbo–Kobayashi–Maskawa matrix unitarity. It will also highlight recent detector R\&D activities for PIONEER, including LGAD beam tests performed at TRIUMF.

Speaker: David Gallacher

16:45 In situ calibration of liquid scintillator in SNO+

Deep beneath the Canadian Shield, within the confines of the SNOLAB underground laboratory situated at the Vale-Creighton mine southwest of Sudbury, Ontario, lies the SNO+ experiment. This experiment, the successor to the SNO experiment, aims to observe neutrino-less double beta decay. SNO+ has been operational as a liquid scintillator neutrino detector since 2022. Specific hardware had been designed to maintain the strict radiological background mitigation criteria of the experiment. Prior to the recent assembly of this equipment the existing backgrounds, integrated over several month periods, were used to obtain the sets of decay events required to evaluate the detector’s behaviour. The completion of the deployment hardware has enabled the collection of a statistically significant calibration dataset spanning multiple deployments, totalling an aggregate of 16 days.

Throughout these deployments, the position response and accuracy of the deployment system were evaluated, providing feedback to the hardware development. The excellent accuracy of these systems; better than the detector resolution; will be presented. In addition the detector backgrounds and radon levels were also monitored throughout the deployment procedures, successfully maintaining the cleanliness goals of the experiment. This presentation will summarize all of the measurements conducted during the deployment period and provide prospects for forthcoming analyses based on these deployments.

Speaker: Dr Ryan Bayes (Queen's University)

Bayes_SNO+_CAP_CALIB.pdf

17:00 Track Matching and Momentum Reconstruction at the DUNE Near Detector

The Deep Underground Neutrino Experiment (DUNE) is a next-generation particle physics experiment designed to study neutrino oscillation (in which neutrinos of one flavour transform into other flavours as they travel) alongside a broad program of other research. It will consist of two detector facilities, the Near Detector (ND) at the Fermi National Accelerator Laboratory (Fermilab) near Chicago, and the larger Far Detector (FD) which will be built 1300 km away in Lead, South Dakota.

The ND will characterize the initial energy spectrum and flavour makeup of the neutrino beam produced at Fermilab prior to its propagation through the ground to the FD, which will measure the extent to which the population of each flavour type within the beam has changed. In the first phase of DUNE's operations, both the ND and FD will use Liquid Argon Time Projection Chambers (LArTPCs) to detect and measure the energy of the neutrinos. Should a neutrino interact within the liquid argon, the resulting charged particles will produce both scintillation light and trails of ionization as they pass through the medium. Muon neutrinos will produce muons, which tend to leave long, signature tracks in the LArTPC. The momentum of a muon can be calculated from the length it travels before stopping, which allows the energy spectrum of the initial muon neutrino beam to be characterized. The LArTPC at the DUNE ND (ND-LAr) will detect the scintillation light and the freed electrons from the ionized argon and reconstruct three-dimensional particle traces from them. However, since muons are minimally-ionizing particles, at DUNE's energy range most muon tracks will be longer than ND-LAr itself. On its own, ND-LAr would only see a fraction of the track length of these uncontained muons, and would underestimate their momenta.

The Muon Spectrometer (TMS) is a scintillator detector located downstream of ND-LAr that will stop a significant number of the muons that escape ND-LAr while tracking their trajectories. The detector can also distinguish the charge sign of the muons. Muons that stop within TMS have a known total track length and momentum, provided that tracks belonging to the same muon in ND-LAr and TMS are correctly matched. This talk will outline methods being developed to match tracks between the components of the ND and illustrate how muon momentum can be reconstructed from these tracks.

Speaker: Quinton Weyrich (York University)

17:15 Diffusion of radon daughters in polymer

Radon and its decay products constitute significant sources of background in rare-event experiments, including dark matter and neutrino searches, due to their unavoidable origin from naturally occurring uranium. Both 222Rn and its long-lived progeny, 210Pb, can diffuse from detector material surfaces, resulting in persistent background contributions in low-background experiments. To study this effect, a dedicated system was developed comprising a radon source, a vacuum chamber with a strong electric field, and a thin film for collecting radon daughters, enabling the deposition of 210Pb onto a Nylon-6 thin film. This presentation will describe the hardware setup of the system and discuss results on the diffusion behavior of 210Pb and 210Po under different humidity conditions.

Speaker: Mr Pushparaj Adhikari (Carleton University)

Diffusion_CAP2026_Pushpa.pdf

16:15 → 17:30 (DTP) R2-7 Theoretical Physics | Physique théorique (DPT)

Convener: Prof. Hari Kunduri (McMaster University, Mathematics and Physics)

16:15 Modelling Thermoelectric Figure of Merit for Quantum Materials Using the Lambert W Function

Achieving high thermoelectric performance requires reconciling the competing dependences of the Seebeck coefficient, electrical conductivity, and thermal conductivity that together determine the figure of merit ZT. Our work develops a unified analytical framework that combines polylogarithmic representations of Fermi–Dirac statistics with multibranch formulations of the Lambert W function to model these interdependent transport coefficients more rigorously. By extending classical transport theory to include energy-dependent scattering and realistic quantum-statistical carrier distributions, we obtain closed-form expressions for electrical conductivity, Seebeck coefficient, Lorenz number, and electronic thermal conductivity. A key result is an analytic inversion of the reduced chemical potential ϕ, enabling direct extraction of carrier concentration and degeneracy regime from experimentally measurable quantities. This analytic structure avoids the iterative numerical inversion typically required in transport modelling, allowing transparent parameter dependence and clearer physical interpretation.
Our framework facilitates extremum analyses for power factor and ZT, identifying the carrier densities, scattering parameters, and temperature windows that optimize thermoelectric performance across different material classes. The resulting equations highlight how quantum effects, band curvature, and scattering asymmetry shape the interplay between transport coefficients, and provide scalable criteria for materials design beyond numerical fitting alone. In particular, the derived extremum relations reveal universal behaviours that persist across semiconductor families, offering guidance for both bulk and nanostructured thermoelectrics.
By integrating polylogarithmic methods with the multivalued structure of the Lambert W function, this work establishes a generalizable modelling approach for evaluating and optimizing thermoelectric behaviour in emerging quantum and low-dimensional materials. The resulting closed-form relations offer a pathway toward predictive transport modelling and inform strategies for enhancing sustainable energy harvesting and waste-heat recovery technologies.

Speaker: Dr Farrukh Chishtie (Department of Occupational Science and Occupational Therapy)

16:30 Local pumping of competing order: Dynamical order within an expanding synchronization front

Many ordered physical systems are proximate to a low-energy competing phase. This can manifest as a roton-like feature within a dispersing collective mode. A paradigmatic example is the attractive Hubbard model with its superfluid ground state. Close to half-filling, it hosts a roton-like excitation associated with a competing charge density wave order. Inspired by pump-probe experiments, we explore a local density modulation that ‘pumps’ the charge density wave order. Using a dynamical simulation scheme that includes correlations at all scales, we find an enhanced response when the modulation frequency matches the roton gap. Resonant pumping leads to two propagation fronts. The first corresponds to an incoherent disturbance propagating radially outwards. It moves at a constant speed set by the sound velocity associated with the Goldstone mode of the superfluid. The second is a synchronization front, which defines a zone with coherent, dynamical charge density wave order. This zone expands with a radius that grows as the square root of time, akin to diffusive motion. The diffusion coefficient is set by the curvature of the collective mode around the roton minimum. Our results can be directly tested in ultracold atomic gases. They can motivate studies of dynamical ordering in solids, e.g., by optical pumping using a small spot-size laser or a terahertz STM.

Speaker: Ganesh Ramachandran

16:45 Newton Revisited: Modifications and Practical Insights into Classical Mechanics

This paper challenges the conventional application of Newton's second law, demonstrating its significant limitations in real-world environments. Through experiments measuring friction and air resistance, and through analyses extending to celestial bodies like Pluto, we reveal major discrepancies between theoretical predictions and observed force dynamics. Our findings underscore the critical need for refined models that incorporate resistance effects, paving the way for more accurate force measurement and management in both terrestrial and extraterrestrial contexts.

Speaker: Amritpal Singh Nafria (Lamrin Tech Skills University)

17:00 resonant-state expansion for non-relativistic wave equation in one dimension

The resonant state expansion (RSE), a rigorous perturbation theory recently developed in electrodynamics, is here applied to non-relativistic wave equation in one dimension. The resonant state (RSs) of a symmetric double quantum well structure superimposed by a combination of delta functions was first calculated. These RSs are then taken as an unperturbed basis for the RSE. The resonant state expansion is first verified for triple quantum well systems, showing convergence to the available analytic solution as the number of basis resonant states increases. The method is then applied to more complicated systems such as multiple quantum well and barrier structures. Results are compared with the Eigen solution in triple quantum wells and infinite periodic potentials, revealing the nature of the resonant states in the studied systems.

Speaker: Dr Abdullahi Tanimu (Department of Physics, Faculty of natural and applied science, Umaru Musa Yar'adua University Katsina, Nigeria)

Abstract_AT-2026.docx

16:15 → 17:30 (DNP) R2-9 Division Annual Business Meeting | Assemblée générale annuelle de la division (DPN)

17:45 → 19:15 Recognitions Ceremony | Cérémonie de distinction

Convener: Prof. Pierre Bénard (Université du Québec à Trois-Rivières)

2026 Integrated Recognitions Ceremony Slide Deck June 24.pdf

Friday 26 June

08:00 → 09:00 CINP Board Meeting | Réunion du conseil d'administration du CINP

08:30 → 09:15 Discussion for Canadian Collaboration for Integrated Detector Development | Discussion sur la collaboration canadienne pour le développement de détecteurs intégrés

ZOOM

09:15 → 12:30 Joint IPP/CINP Session | Séance conjointe IPP/CINP: CINP+IPP Joint Session

Convener: Prof. Garth Huber

09:15 SAPES Chair Report

Speaker: Rituparna Kanungo

SAPES_CAP2026.pdf

09:40 CFI Report

Speaker: Natalee Rubec

CFI_CAP2026.pdf

10:10 TRIUMF Report

Speaker: Nigel Smith (TRIUMF)

TRIUMF_CAP2026.pdf

10:30 SNOLAB Report

Speaker: Jodi Cooley (SNOLAB)

260626_IPP_SNOLAB_report.pdf

10:50 McDonald Institute Report

Speaker: Tony Noble

McDonald-Institute_2026CAP.pdf

McDonald-Institute_2026CAP.pptx

11:10 Coffee break

11:30 Subatomic Physics Long Range Plan

Speakers: Alison Lister (University of British Columbia (CA)), Paul Garrett (University of Guelph)

LRPC_recommendations.pdf

12:30 → 16:30 IPP Annual General Meeting | Assemblée générale annuelle de l'IPP: https://ualberta-ca.zoom.us/j/98295112546?pwd=TUzDNbHKOlwux0mkb9vbAkxcoCP3EE.1

12:30 Director's Report

Speaker: Carsten Krauss (University of Alberta)

Directors Talk AGM 2026.pdf

13:00 IPP Scientists Reports: Randall Sobie

Speaker: Randall Sobie (University of Victoria (CA))

Sobie-IPP-AGM-2026.pdf

13:15 IPP Scientist Report: Richard Teuscher

Speaker: Richard Teuscher (University of Toronto (CA))

TEUSCHER_IPP_Canada_ITk_2026_June_Ottawa.pdf

13:30 IPP Scientist Report: Alex Wright

Speaker: Alex Wright (Queen's University)

wright_IPP_meeting_2026.pdf

13:45 IPP Scientist Report: Rob McPherson

Speaker: Rob Mcpherson (University of Victoria (CA))

McPherson_ATLAS_IPPReview2026-public.pdf

14:00 IPP Research Scientist: Chris Hearty

Speaker: Prof. Christopher Hearty (University of British Columbia (CA))

Belle II Hearty 26-Jun-2026.pdf

14:15 IPP Scientist Report: Steven Robertson

Speaker: Steven Robertson (IPP / University of Alberta)

2026_IPP_AGM_Robertson.pdf

14:30 National MRS Board Report

Speaker: Jean-Francois Arguin (Universite de Montreal (CA))

MRS_CAPCongress_JFA_LTA.pdf

14:50 LRP Discussion

Speaker: Alison Lister (University of British Columbia (CA))

12:40 → 13:40 CINP Annual General Meeting | Assemblée générale annuelle de CINP