Canadian Astro-Particle Physics Summer Student Talk Competition

Speaker List

• Anthony Allega (Queen's University)
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    Analysis of Alpha Particle Quenching in SNO+ Scintillator Using Internal Polonium Backgrounds

• Laurie Amen (Queen's University)
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    PICO 500 Muon Veto Optical Calibration System

• Julia Azzi (SNOLAB)
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    Radon Measurements and the Lucas Cell System

• Irina Babayan (Queen's University)
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    NEWS-G Sensor Characterization

• Minya Bai
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    In-Gas Laser Ablation Source (IGLAS) Development at McGill University

• Tapendra B C
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    Feature Recognition and labelling for Photogrammetry Calibration of the Super-Kamiokande Detector

• Felix Belair (McGill University)
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    Lab Weather Station

• Erin Bolger
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    Simulating Gamma Ray Interactions to Determine Dead Layer of Germanium

• Ashley Chraya (IISER Mohali)
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    Black hole quasinormal mode spectroscopy

• Maeve Cockshutt (SNO+)
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    Identification of a Directional Cherenkov Signal in Tl208 Decays in the SNO+ Detector

• Caroline Deluce (SNOLAB)
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    Alpha and Beta Discrimination in SNO+ in Partial Fill and Scintillator Full Phase

• Julian Ding (University of British Columbia)
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    Hunting Unicorns: Model-Free Detection of Time Series Anomalies in GW Detector Data

• Kaustav Dutta (University of Alberta)
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    Cascade Reconstruction in Pacific Ocean Neutrino Experiment (P-ONE)

• Katherine Frazer
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    The Evolution of Fundamental Galaxy Scaling Relations

• Vicente Garrido (SNOLAB)
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    Recent development of the radiopurity.org materials database

• Izzy Ginnett (TRIUMF)
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    Ab Initio Correlation between Double Gamow-Teller Transitions and Neutrinoless Double Beta Decay

• Laura Gonzalez Escudero (McGill University)
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    In-gas laser ablation source (IGLAS) for nEXO's Ba-tagging group at McGill

• Victoria Howard (SNOLAB)
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    An Analysis of C14 for SNO+

• Seraphim HSIEH JAROV (University of British Columbia)
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    Improving Gravity Spy's Classification Accuracy of Real Gravitational Wave Events and Excess Noise Artifacts

• Huba Khan (Laurentian University - SNOLAB)
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    SNO+ Cherenkov Umbilical

• Emma Klemets (McGill University, UBC)
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    Cherenkov Light Simulations with Chroma for nEXO’s Muon Veto

• Christine Kraus (Laurentian University)
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    Prize Announcement and Closing Remarks

• Madelynn Mast (Queen's University)
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    Measuring the Mass of the Milky Way: Converting a 350 PHYS Project into a 250 Lab

• Audréanne Matte-Landry (Université de Montreal)
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    Dark matter search and calibration of detectors at Université de Montréal

• Megan McArthur (SNOLAB)
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    Particle Discrimination Using Machine Learning Techniques

• Ashley McCambley
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    URM Pressure Equalizing System

• Clara Mitchinson (Queen's University)
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    NEWS-G3 Muon Background Simulation

• Maria Ortiz
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    Simulation of backgrounds for the Ar2D2 detector.

• keegan paleshi (Snolab)
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    Evaluation C14 background in the SNO+ detector

• Kishankumar Patel (The University of Winnipeg)
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    Simulations of PMT and Track Reconstruction in Magnetic Field

• Julia Patterson (SNOLAB)
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    Tellurium Plants and Tellurium Purification in SNO+

• Alexander Pleava (McMaster University)
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    Improving Background Simulation Efficiency with Flux Surfaces

• Charlotte R
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    Using Machine Learning to Denoise Acoustic Pulses

• Parmesh Ravi (University of Waterloo)
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    K40 Backgrounds in the SNO+ Neutrino Detector

• Liam Retty (Laurentian University)
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    Geometries and PMT Configurations for nEXO Outer Detector Simulations

• Regan Ross
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    Logical Muon Generation for Monte Carlo Simulations (Underground)

• Raveen Sidhu (DEAP-3600)
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    Right Time, Right Place: a Comparative Analysis of DEAP-3600’s Position Reconstruction Algorithms

• Kai Soini (SNO+ - Queen's University)
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    Analyzing Neck Events in the SNO+ Experiment

• Matt Stollman (SNOLAB)
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    Measurements of Radon Concentration in SNOLAB air

• Abbygale Grace Swadling (University of Calgary Dep. of Phys. and Astronomy (CA))
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    Distinguishing signal from background for a direct measurement of antihydrogen’s Lamb shift

• Benjamin Tam (Queen's University)
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    Opening Remarks

• Joseph Torsiello
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    Characterization of ion plumes in laser ablation ion sources

• T.S.Sachin Venkatesh (Delhi Technological University)
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    A comparative study of various Deep Learning techniques for spatio-temporal Super-Resolution reconstruction of forced isotropic turbulent flows

• Maggie Wang (University of Toronto)
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    Machine Learning for Top Quark Pair Kinematic Reconstruction

• Drake Wickman (nEXO)
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    Finding Functional Approximations of the Absolute Counting Efficiencies for radon 222 and radon 220 for ESC’s under certain Pressures and High Voltages

• Tai Withers (Queen's University)
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    Building a Public Database for Transient High-Energy Event Analyses

• Kyle Yeates (SNOLAB/Laurentian University)
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    Using Machine/Deep Learning to Analyze Acoustic Data and Probe the Physical Development of Bubble Nucleation