SBN/2x2 Joint ML Workshop

America/Denver
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 lartpc_mlreco3d 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 at stored at: https://github.com/DeepLearnPhysics/icarus_ml_workshop_2023

Zoom link for remote participation: https://stanford.zoom.us/j/96366189685?pwd=N2ZqcU9jTjAyOXA0TFpnbWtUM3JRUT09

Registration
Participants
    • 09:00 09:15
      Introductory Remarks 15m
      Speaker: Taritree Wongjirad (Tufts University)
    • 09:15 10:45
      Introduction to Machine Learning Tools 1h 30m
      Speaker: Kazuhiro Terao (SLAC)
    • 10:45 12:30
      Introduction to LArTPC-MLReco3D 1h 45m
      Speaker: Francois Drielsma (SLAC)
    • 12:30 13:30
      Lunch 1h
    • 13:30 14:15
      LArCV and Labeling 45m
      Speaker: Francois Drielsma (SLAC)
    • 14:15 15:00
      Training and Validation 45m
      Speaker: Francois Drielsma (SLAC)
    • 15:00 15:45
      Inference and HDF5 output storage 45m
      Speaker: Dae Koh (SLAC)
    • 15:45 17:00
      Working Session 1h 15m
      Speaker: Francois Drielsma (SLAC)
    • 09:00 12:00
      Reconstruction Access and Visualization 3h
      Speaker: Dae Koh (SLAC)
    • 12:00 13:00
      Lunch 1h
    • 13:30 15:00
      Calibration Infrastructure 1h 30m
      Speaker: Michael Mooney (Colorado State University)
    • 15:00 16:00
      Analysis template 1h
      Speaker: Dae Koh (SLAC)
    • 16:00 17:00
      Michel Electron Reconstruction 1h
      Speaker: Francois Drielsma (SLAC)
    • 09:00 09:45
      Track Residual dQ/dx 45m
      Speaker: Francois Drielsma (SLAC)
    • 09:45 10:30
      Track Momentum Reconstruction 45m
      Speaker: Dae Koh (SLAC)
    • 10:30 11:15
      Shower Energy Reconstruction 45m
      Speaker: Lane Kashur (Colorado State University)
    • 11:15 12:00
      Shower Start dQ/dx 45m
      Speaker: Dan Carber (SLAC)
    • 12:00 13:00
      Lunch 1h
    • 13:00 13:45
      Particle Identification 45m
      Speaker: Yeon-jae Jwa (SLAC)
    • 13:45 14:30
      Primary Identification and Vertex Reconstruction 45m
      Speaker: Dae Koh (SLAC)
    • 14:30 17:00
      Working Session 2h 30m
      Speaker: Francois Drielsma (SLAC)
    • 09:00 10:00
      Numu Selection 1h
      Speaker: Justin Mueller (SLAC)
    • 10:00 11:00
      NuMu CC Pi0 Selection 1h
      Speaker: Lane Kashur (Colorado State University)
    • 11:00 12:00
      Nue Selection 1h
      Speaker: Dae Koh (SLAC)
    • 12:00 13:00
      Lunch 1h
    • 13:00 13:45
      Signal Processing 45m
      Speakers: Michael Mooney (Colorado State University), Tracy Usher (SLAC)
    • 13:45 17:00
      Working Session 3h 15m
      Speaker: Francois Drielsma (SLAC)
    • 09:00 10:00
      Flash Matching 1h
      Speaker: Justin Mueller (SLAC)
    • 10:00 11:00
      CRT-TPC Matching 1h
      Speaker: Andrew Mogan (SLAC)
    • 11:00 12:00
      S->ee Reconstruction 1h
      Speaker: Jamie Dyer (Colorado State University)
    • 12:00 13:00
      Lunch 1h
    • 13:00 14:00
      SBND Implementation 1h
      Speaker: Bear Carlson (SLAC)
    • 14:00 17:00
      Working Session 3h
      Speaker: Francois Drielsma (SLAC)