SPINE Workshop 2024

America/New_York
Francois Drielsma (SLAC), Kazuhiro Terao (SLAC), Michael Mooney (Colorado State University), Taritree Wongjirad (Tufts University)
Description

SBN/2x2 Joint Machine-Learning Workshop

One-week workshop dedicated to improving the general understanding of machine learning tools and their implementation in the context of LArTPC detectors, and in particular the SPINE package.

The workshop will consist of a general lecture-style introduction on Monday, and then be roughly evenly split between tutorial and working sessions. Tutorials will consist of interactive notebooks with simple tasks to complete on the fly and more complicated tasks to complete during the working session on the same day. Some time will be reserved on Friday morning for people to update on the progress that has been made during the workshop.

The notebooks and resources are stored at: https://github.com/DeepLearnPhysics/spine_workshop_2024 

Zoom link for remote participation: https://stanford.zoom.us/j/91271348353?pwd=ncLGbIwz8IAJnQrEWvv1SVa0BTqNcq.1 

Practical lodging information: https://docs.google.com/presentation/d/1svptLtk0nrxZy8Cf5SxmUjgbeDK8I27VJ4pJxykaipQ/edit?usp=sharing  

Registration
Participants
Participants
  • Abdul Wasit Yahaya
  • Alicia Vázquez-Ramos
  • Brinden Carlson
  • Castaly Fan
  • Dae Koh
  • Francois Drielsma
  • Gage Gerding
  • Gajendra Gurung
  • Georgette Kufatty
  • Heather Ray
  • Hilary Utaegbulam
  • Jaydip Singh
  • Jeremy Wolcott
  • Jessie Micallef
  • Josephine Paton
  • Karan Kumar
  • Kazuhiro Terao
  • Keng Lin
  • Lane Kashur
  • Laxman Paudel
  • Luis Mora-Lepin
  • Matthew Siden
  • Michael Dolce
  • Michael Mooney
  • Mohamed Ismail
  • Nathaniel Santiago
  • Nupur Oza
  • Omar Alterkait
  • Polina Abratenko
  • Promita Roy
  • Ryan LaZur
  • Scott Schwartz
  • Seokju Chung
  • Sindhujha Kumaran
  • Taritree Wongjirad
  • Tracy Usher
  • Yeon-jae Jwa
  • Yousen Zhang
  • Zach Hulcher
  • Zev Imani