Skip to main content
5–11 Jun 2022
McMaster University
America/Toronto timezone
Welcome to the 2022 CAP Congress Program website! / Bienvenue au siteweb du programme du Congrès de l'ACP 2022!

Session

W2-1 Machine Learning in HEP and Novel Reconstruction Tools (PPD) | Apprentissage automatique en PHE et nouveaux outils de reconstruction (PPD)

W2-1
8 Jun 2022, 13:15
McMaster University

McMaster University

Conveners

W2-1 Machine Learning in HEP and Novel Reconstruction Tools (PPD) | Apprentissage automatique en PHE et nouveaux outils de reconstruction (PPD)

  • Max Swiatlowski (TRIUMF)

Presentation materials

There are no materials yet.
Previous tabNext tab
Print
PDF
Full screen
Detailed view
Filter
13:00
14:00
Nick Prouse
Machine learning techniques to enhance event reconstruction in water Cherenkov detectors
MDCL 1110, McMaster University
13:15 - 13:45
Jean-Marie Coquillat
(G*) New background discrimination methods for the NEWS-G dark matter search experiment
MDCL 1110, McMaster University
13:45 - 14:00
Alexandre Beaubien
(G*) Improving Muon-Pion & Electron-Pion Separation at Belle II with Machine Learning Using the Novel Pulse Shape Discrimination in CsI(Tl)
MDCL 1110, McMaster University
14:00 - 14:15
Mark Anderson
(G*) Machine learning to denoise pulses from a p-type point contact germanium detector
MDCL 1110, McMaster University
14:15 - 14:30
Noah Rowe
(G*) Machine Learning for Noise Removal in NEWS-G
MDCL 1110, McMaster University
14:30 - 14:45