EFI Data Analytics for Physics

from Monday, October 30, 2017 (9:00 AM) to Wednesday, November 1, 2017 (5:00 PM)


        : Sessions
    /     : Talks
        : Breaks
Oct 30, 2017
Oct 31, 2017
Nov 1, 2017
AM
9:30 AM --- Coffee and tea ---
10:00 AM
Intro session (until 12:00 PM) ()
10:00 AM Introduction and round table - David Miller (University of Chicago (US))   ()
10:20 AM Discussion of projects for the workshop   ()
10:40 AM Integrative Cyberinfrastructure for the EFI - Robert William Gardner Jr (University of Chicago (US))   ()
10:50 AM Brief introduction to modern data analysis environments - Dr Benedikt Riedel (University of Chicago)   ()
11:10 AM Hands-on session with Python, Jupyter Notebooks, and ROOT - Giordon Holtsberg Stark (University of Chicago (US))   ()
9:30 AM
Morning session (until 12:00 PM) ()
9:30 AM Introduction to statistical analysis tools - Maximilian J Swiatlowski (University of Chicago (US))   ()
9:55 AM Hands-on with HistFitter for counting experiments - Maximilian J Swiatlowski (University of Chicago (US))   ()
10:20 AM --- Coffee Break ---
10:40 AM Data visualization with ROOT, D3, Bokeh, and HoloViews - Teodora Szasz (University of Chicago Research Computing Center)   ()
9:30 AM
Morning session (until 12:00 PM) ()
9:30 AM Introduction to distributed computing - Lincoln Bryant (University of Chicago (US))   ()
9:50 AM Hands-on session with OSG Connect - Benedikt Riedel (University of Chicago)   ()
10:20 AM --- Coffee break ---
10:45 AM Introduction to Elasticsearch - Ilija Vukotic (University of Chicago (US))   ()
11:05 AM Hands on: using Elasticsearch for ML - Ilija Vukotic (University of Chicago (US))   ()
PM
12:00 PM --- Lunch break ---
1:00 PM
Afternoon session (until 5:30 PM) ()
1:00 PM Introduction to pattern recognition algorithms and Machine Learning - 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 - Ben Nachman (Lawrence Berkeley National Lab. (US)) Mats Joakim Robert Olsson (University of Chicago (US))   ()
2:30 PM --- Coffee break ---
3:00 PM Advanced machine learning application in high energy physics - Ben Nachman (Lawrence Berkeley National Lab. (US))   ()
3:45 PM Keras deep learning images - Mats Joakim Robert Olsson (University of Chicago (US))   ()
4:35 PM Demo: Balancing a pole using "Reinforcement Learning" - Mats Joakim Robert Olsson (University of Chicago (US))   ()
12:00 PM --- Lunch break ---
1:00 PM --- Break for 50th anniversary UChicago-Fermilab Event ---
12:00 PM --- Lunch break ---
1:00 PM
Afternoon session (until 3:30 PM) ()
1:00 PM Run jobs on distributed computing   ()
1:20 PM MVA and/or machine learning examples   ()
1:50 PM Visualizations   ()
2:10 PM Wrap up   ()