EFI Data Analytics for Physics

America/Chicago
Description

https://efi.uchicago.edu/content/efi-data-analytics-physics

For hands-on sessions participants will have access to personal JupyterLab instances. To get address of your instance please go to this address, select a free instance and add your name to it.

https://goo.gl/TTrbDt

You have full freedom on it, if you manage to destroy it ask for it to be recreated.

 

    • 9:30 AM 10:00 AM
      Coffee and tea 30m
    • 10:00 AM 12:00 PM
      Intro session
    • 12:00 PM 1:00 PM
      Lunch break 1h
    • 1:00 PM 5:30 PM
      Afternoon session: Doing stuff
      • 1:00 PM
        Introduction to pattern recognition algorithms and Machine Learning 45m
        Speaker: Ben Nachman (Lawrence Berkeley National Lab. (US))
      • 1:45 PM
        Hands-on: 1D optimal classifier, e.g. a Gaussian process classifier, compared with a simple Neural Network 45m
        Speakers: Ben Nachman (Lawrence Berkeley National Lab. (US)), Mats Joakim Robert Olsson (University of Chicago (US))
      • 2:30 PM
        Coffee break 30m
      • 3:00 PM
        Advanced machine learning application in high energy physics 45m
        Speaker: Ben Nachman (Lawrence Berkeley National Lab. (US))
      • 3:45 PM
        Keras deep learning images 50m
        Speaker: Mats Joakim Robert Olsson (University of Chicago (US))
      • 4:35 PM
        Demo: Balancing a pole using "Reinforcement Learning" 20m
        Speaker: Mats Joakim Robert Olsson (University of Chicago (US))
    • 9:30 AM 12:00 PM
      Morning session: Statistical Analysis Tools
      • 9:30 AM
        Introduction to statistical analysis tools 25m

        Counting experiments: RooStats / HistFitter
        Spectrum experiments: BumpHunter

        Speaker: Maximilian J Swiatlowski (University of Chicago (US))
      • 9:55 AM
        Hands-on with HistFitter for counting experiments 25m
        Speaker: Maximilian J Swiatlowski (University of Chicago (US))
      • 10:20 AM
        Coffee Break 20m
      • 10:40 AM
        Data visualization with ROOT, D3, Bokeh, and HoloViews 1h 20m
        Speaker: Teodora Szasz (University of Chicago Research Computing Center)
    • 12:00 PM 1:00 PM
      Lunch break 1h
    • 1:00 PM 6:00 PM
      Break for 50th anniversary UChicago-Fermilab Event 5h
    • 9:30 AM 12:00 PM
      Morning session: Distributed computing
      • 9:30 AM
        Introduction to distributed computing 20m
        Speaker: Lincoln Bryant (University of Chicago (US))
      • 9:50 AM
        Hands-on session with OSG Connect 30m
        Speaker: Benedikt Riedel (University of Chicago)
      • 10:20 AM
        Coffee break 25m
      • 10:45 AM
        Introduction to Elasticsearch 20m
        Speaker: Ilija Vukotic (University of Chicago (US))
      • 11:05 AM
        Hands on: using Elasticsearch for ML 30m
        Speaker: Ilija Vukotic (University of Chicago (US))
    • 12:00 PM 1:00 PM
      Lunch break 1h
    • 1:00 PM 3:30 PM
      Afternoon session: Synthesis of previous work
      • 1:00 PM
        Run jobs on distributed computing 20m
      • 1:20 PM
        MVA and/or machine learning examples 30m
      • 1:50 PM
        Visualizations 20m
      • 2:10 PM
        Wrap up 20m