USCMS/IRIS-HEP Analysis Software Training

20 Jun 2024, 08:00 → 21 Jun 2024, 18:00 US/Eastern

Joseph Henry Room, Jadwin Hall (Princeton University)

Advanced software is a critical ingredient to scientific research. Training young researchers in the latest tools and techniques is an essential part of developing the skills required for a successful career both in research and in industry.

This two day event plans to discuss:

1. Columnar analysis and uproot 

2. Distributed analysis and Dask
3. Data Visualization techniques and libraries
4. Coffea columnar analysis framework
5. The Coffea-Casa analysis facility
6. Statistical tools 

Basic familiarity with basic shell, Python and Git will be assumed. 

This is an in person event held at Princeton University just after the USCMS annual meeting.

Some travel support will be provided to attendees, supported by IRIS-HEP. See the Application Form for more information.

 

Feedback survey

 

This event is sponsored by the National Science Foundation through Cooperative Agreements OAC-1836650 and PHY-2323298 (Institute for Research and Innovation in Software (IRIS-HEP)) with support from the Princeton Institute for Computational Science and Engineering (PICSciE) and the Princeton University Physics Department. Any opinions, findings, conclusions or recommendations expressed in this material are those of the developers and do not necessarily reflect the views of the National Science Foundation.

Thursday, 20 June

08:30 → 09:00 Breakfast

09:00 → 11:00 Lectures (Block 1)

09:00 Welcome/Introduction

09:15 Columnar analysis and Awkward

Speaker: Jim Pivarski (Princeton University)

lecture-and-worksheet

10:30 Coffea-Casa and the Compute Infrastructure for this course

Speaker: Oksana Shadura (University of Nebraska Lincoln (US))

How to register at coffea-casa?

Intro and registration at coffea-casa

Useful tricks at coffea-casa

11:00 → 11:30 Coffee

11:30 → 13:00 Lectures (Block 2)

11:30 Distributed Analysis and Dask

Speaker: Lindsey Gray (Fermi National Accelerator Lab. (US))

DaskIntro_LindseyGray_20062024.pdf

taskgraph-workbooks.ipynb

13:00 → 14:00 Lunch

14:00 → 16:00 Lectures (Session 3)

14:00 Data Visualization techniques and libraries

Speaker: Andrzej Novak (Massachusetts Inst. of Technology (US))

CMS Color Schemes

CMS Plotting Guidelines

Github

USCMS_Training_Viz.pdf

14:30 Coffea columnar analysis framework

Speaker: Nick Manganelli (University of Colorado Boulder (US))

Github

16:00 → 16:30 Coffee

16:30 → 17:30 Interactive (Session 1)

Convener: Nick Smith (Fermi National Accelerator Lab. (US))

16:30 Q&A for day 1 + survey: any other topics you'd want to see on day 2?

16:40 Sample game introduction

Speaker: Nick Smith (Fermi National Accelerator Lab. (US))

Github

18:00 → 21:00 Palmer House - BBQ

Friday, 21 June

08:30 → 09:00 Breakfast

09:00 → 11:00 Lectures (Block 4)

09:00 Statistical tools

Speakers: Matthew Feickert (University of Wisconsin Madison (US)), Nick Smith (Fermi National Accelerator Lab. (US))

CombineTutorial_Stats.pdf

shape_fit_by_hand.ipynb

10:30 Analysis Grand Challenge Pipeline demos

Speakers: Alexander Held (University of Wisconsin Madison (US)), Elliott Kauffman (Princeton University (US))

11:00 → 11:30 Coffee

11:30 → 13:00 Interactive (Session 2)

sample game solution submission

13:00 → 14:00 Lunch

14:00 → 17:00 Interactive (Session 3)

14:00 Bring your questions, topics raised during day 1

correctionlib, coffea schemas, array building, ...

16:00 Overflow