Conveners
(PPD) W1-9 DM / Neutrino 2 | DM / Neutrino 2 (PPD)
- Carsten Krauss (Univ. of Alberta)
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Sahar Taghayor (University of Victoria (CA))21/06/2023, 10:30Particle Physics / Physique des particules (PPD)Oral Competition (Graduate Student) / Compétition orale (Étudiant(e) du 2e ou 3e cycle)
The Super-Kamiokande (SuperK) and Hyper-Kamiokande (HyperK) water Cherenkov detectors for particle and astroparticles consist of photomultiplier tubes (PMTs) that detect Cherenkov light surrounding a large ultra-pure water tank (40m and 70m diameter, respectively).
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Water quality is critical because it ensures good water transparency and, as a result, a long Cherenkov light attenuation length... -
Kurtis Raymond21/06/2023, 10:45Particle Physics / Physique des particules (PPD)Oral Competition (Graduate Student) / Compétition orale (Étudiant(e) du 2e ou 3e cycle)
Silicon PhotoMultipliers (SiPMs) have been adopted in many applications due to their ability to reliably detect single photons with excellent timing resolution. These applications range from detecting scintillation photons in large area particle physics experiments, to light detection for LiDAR or other industry uses. Due to the large internal gain of these devices ($\sim10^6$), a large number...
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Mr William Woodley (University of Alberta)21/06/2023, 11:00Particle Physics / Physique des particules (PPD)Oral Competition (Graduate Student) / Compétition orale (Étudiant(e) du 2e ou 3e cycle)
MUTE (MUon inTensity codE) is a Python program (https://github.com/wjwoodley/mute) that combines two state-of-the-art codes, MCEq and PROPOSAL, to calculate muon intensities and spectra in deep underground and underwater laboratories. We have previously shown that, using these tools, MUTE can provide forward predictions while accurately characterising the uncertainties arising from hadron...
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Noah Rowe21/06/2023, 11:15Particle Physics / Physique des particules (PPD)Oral Competition (Graduate Student) / Compétition orale (Étudiant(e) du 2e ou 3e cycle)
In this talk I will present updated results regarding the application of machine learning techniques for noise removal and physics-variable prediction on signals from spherical proportional counters (SPCs) with the NEWS-G experiment. In SPC detectors, a primary ionization, created by a particle interacting with the gas, drifts towards a central anode. When ions approach the anode, the electric...
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Evan Vienneau21/06/2023, 11:30Particle Physics / Physique des particules (PPD)Oral Competition (Graduate Student) / Compétition orale (Étudiant(e) du 2e ou 3e cycle)
We study the effects of dark matter self-interactions on the local dark matter distribution in selected Milky Way-like galaxies in the EAGLE hydrodynamical simulations. The simulations were run with two different self-interacting dark matter models, a constant and velocity-dependent self-interaction cross-section. We find that the local dark matter velocity distribution of the Milky Way-like...
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Annabelle Makowski (Queen's University)21/06/2023, 11:45Particle Physics / Physique des particules (PPD)Oral Competition (Graduate Student) / Compétition orale (Étudiant(e) du 2e ou 3e cycle)
The NEWS-G experiment at SNOLAB uses spherical proportional counters, or SPCs, to detect weakly interacting massive particles (WIMPs), which are a prime candidate for dark matter. Interactions within the gas-filled sphere create a primary ionization. Then, a radial electric field acting throughout the detector volume collects the electrons towards an anode sensor located at the sphere’s...
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