EFI Data Analytics for Physics

from Monday 30 October 2017 (09:00) to Wednesday 1 November 2017 (17:00)


        : Sessions
    /     : Talks
        : Breaks
30 Oct 2017
31 Oct 2017
1 Nov 2017
AM
09:30 --- Coffee and tea ---
10:00
Intro session (until 12:00)
10:00 Introduction and round table - David Miller (University of Chicago (US))  
10:20 Discussion of projects for the workshop  
10:40 Integrative Cyberinfrastructure for the EFI - Robert William Gardner Jr (University of Chicago (US))  
10:50 Brief introduction to modern data analysis environments - Dr Benedikt Riedel (University of Chicago)  
11:10 Hands-on session with Python, Jupyter Notebooks, and ROOT - Giordon Holtsberg Stark (University of Chicago (US))  
09:30
Morning session (until 12:00)
09:30 Introduction to statistical analysis tools - Maximilian J Swiatlowski (University of Chicago (US))  
09:55 Hands-on with HistFitter for counting experiments - Maximilian J Swiatlowski (University of Chicago (US))  
10:20 --- Coffee Break ---
10:40 Data visualization with ROOT, D3, Bokeh, and HoloViews - Teodora Szasz (University of Chicago Research Computing Center)  
09:30
Morning session (until 12:00)
09:30 Introduction to distributed computing - Lincoln Bryant (University of Chicago (US))  
09:50 Hands-on session with OSG Connect - Benedikt Riedel (University of Chicago)  
10:20 --- Coffee break ---
10:45 Introduction to Elasticsearch - Ilija Vukotic (University of Chicago (US))  
11:05 Hands on: using Elasticsearch for ML - Ilija Vukotic (University of Chicago (US))  
PM
12:00 --- Lunch break ---
13:00
Afternoon session (until 17:30)
13:00 Introduction to pattern recognition algorithms and Machine Learning - Ben Nachman (Lawrence Berkeley National Lab. (US))  
13:45 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))  
14:30 --- Coffee break ---
15:00 Advanced machine learning application in high energy physics - Ben Nachman (Lawrence Berkeley National Lab. (US))  
15:45 Keras deep learning images - Mats Joakim Robert Olsson (University of Chicago (US))  
16:35 Demo: Balancing a pole using "Reinforcement Learning" - Mats Joakim Robert Olsson (University of Chicago (US))  
12:00 --- Lunch break ---
13:00 --- Break for 50th anniversary UChicago-Fermilab Event ---
12:00 --- Lunch break ---
13:00
Afternoon session (until 15:30)
13:00 Run jobs on distributed computing  
13:20 MVA and/or machine learning examples  
13:50 Visualizations  
14:10 Wrap up