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EFI Data Analytics for Physics

October 30 - November 1, 2017
Physics Research Center - Room 201

Please join us for a three-day workshop focused on key areas of EFI computation and research tools. Attendees will engage in a mix of tutorials and hands-on problem solving sessions inspired by research domains across the EFI. We will provide snacks, drinks and lunch each day.

Code Repository: https://github.com/ivukotic/ML_platform_tests

Agenda (https://indico.cern.ch/event/676637/)

  • Monday
    • 9:30am
      • Coffee and tea
    • 10:00am - 12:00pm: Morning Session
      • Introduction and round table (20')
      • Discussion of projects for the workshop (20')
      • Integrative Cyberinfrastructure for the EFI - Rob Gardner (10')
      • Brief Introduction to Modern Data Analysis Environments - Benedikt Riedel¬† (20')
      • Hands-on Session with Python, Jupyter Notebooks, and ROOT - Giordon Stark (50')
    • 12:00pm - 1:00pm
      • Lunch break
    • 1:00pm - 5:00pm:¬† Afternoon Session
      • Introduction to Pattern Recognition Algorithms and Machine Learning - Ben Nachman(45')
      • Hands-on: 1D optimal classifier, e.g. a Gaussian process classifier, compared with a simple Neural Network - Ben Nachman (45')
      • Coffee break (30')
      • Advanced Machine Learning Application in High Energy Physics - Ben Nachman (30')
      • Demo: Balancing a Pole Using "Reinforcement Learning" - Joakim Olsson (20')
      • Keras Deep Learning Images (55') - Joakim Olsson
  • Tuesday
    • 9:30am - 12:00pm: Morning Session
      • Introduction to Statistical Analysis Tools - Max Swiatlowski (25')
      • Hands-on with HistFitter for Counting Experiments (20') - Max Swiatlowski
      • Coffee break (20')
      • Data Visualization with ROOT, D3, Bokeh, and HoloViews (80') - Teodora Szasz
    • 12:00pm - 1:00pm
      • Lunch break
    • Afternoon
      • Break for 50th anniversary UChicago-Fermilab Event
  • Wednesday
    • 9:30am - 12:00pm: Morning Session
      • Introduction to Distributed Computing - Lincoln Bryant (20')
      • Hands-on session with OSG Connect (30') - Benedikt Riedel
      • Coffee break (25')
      • Introduction to Elasticsearch (20') - Ilija Vukotic
      • Hands-on: Using Elasticsearch for ML (25') - Ilija Vukotic
    • 12:00pm - 1:00pm
      • Lunch break
    • 1:00pm - 3:30pm: Afternoon Session
      • Synthesis of previous work
        • Run jobs on distributed computing (20')
        • Run MVA or machine learning (30')
        • Visualize (20')
      • Wrapup (40')