US ATLAS / IRIS-HEP Analysis Software Training Event 2026

30 Jul 2026, 08:30 → 31 Jul 2026, 17:20 US/Pacific

284 (Physics-Atmospheric Sciences Building)

Gordon Watts (University of Washington (US)), Matthew Feickert (University of Wisconsin Madison (US))

The joint IRIS-HEP computational and data science software training event will take place from Thursday 30 July through Friday 31 July, 2026 at the University of Arizona. The training event will be co-located with the 2026 US ATLAS Summer Workshop in Tucson, Arizona.

• Analysis Software Training Event application form (extended deadline: 23:59 Pacific Friday, 19 June 2026. Now closed.)

 

Training event materials GitHub repository

Workshop communication will take place on the IRIS-HEP Slack channel

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.

Specific topics to be covered at the school include:

• Columnar analysis and uproot 

• Distributed analysis and Dask
• Data Visualization techniques and libraries
• Using the UChicago Analysis Facility
• Statistical tools

 

The school offers a limited number of young researchers an opportunity to learn these skills from experienced scientists and instructors. Successful applicants will receive travel and lodging support to attend the school. Thank you to everyone who applied!

Instructor Team

• Matthew Feickert, University of Wisconsin-Madison
• Fengping Hu, University of Chicago

• Nick Manganelli, Northeastern University

• Roger Janusiak, University of Washington
• Gordon Watts, University of Washington

Organizing Committee

• Matthew Feickert, University of Wisconsin-Madison
• Gordon Watts, University of Washington

Local Organizers

• Rachel Hyneman, University of Arizona

 

 

This event is sponsored by the National Science Foundation through Cooperative Agreement PHY-2323298 (Institute for Research and Innovation in Software - IRIS-HEP). 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 30 July

Lecture: Thursday Morning: Lecture Block 1

Convener: Matthew Feickert (University of Wisconsin (US))

1 Welcome / Introduction

Speaker: Matthew Feickert (University of Wisconsin (US))

us-atlas_iris-hep_training_event_introduction_2026-07-30.pdf

2 Coffea-Casa and Compute Infrastructure: Introduction

Speaker: Fengping Hu (University of Chicago (US))

Analysis Facility at UChicago-2026.pdf

Open Data Coffea-casa

UChicago Analysis Facility

3 Columnar analysis and Awkward

Speaker: Nick Manganelli (Northeastern University (US))

Materials on GitHub

10:30 Coffee Break

Lecture: Thursday Morning: Lecture Block 2

Convener: Matthew Feickert (University of Wisconsin (US))

4 Columnar analysis and Awkward (continued)

Speaker: Nick Manganelli (Northeastern University (US))

Materials on GitHub

12:00 Lunch

12:50 Group Photo

Lecture: Thursday Afternoon: Lecture Block 3

Convener: Matthew Feickert (University of Wisconsin (US))

5 PHYSLITE

Speaker: Gordon Watts (University of Washington (US))

2026-07-30 - PHYSLITE.pdf

2026-07-30 - PHYSLITE.pptx

6 Introduction to hist and visualization

Speaker: Roger Janusiak (University of Washington)

Materials on GitHub

14:30 Coffee break

Lecture: Thursday Afternoon: Lecture Block 4

Convener: Matthew Feickert (University of Wisconsin (US))

7 Coffea columnar analysis framework

Speaker: Nick Manganelli (Northeastern University (US))

Materials on GitHub

8 Sample game introduction

Speaker: Matthew Feickert (University of Wisconsin (US))

Materials on GitHub

Sample game submission form

Interactive Sessions: Work and Discussion

Convener: Matthew Feickert (University of Wisconsin (US))

17:00 Time to drop off bags and head to dinner

18:30 El Charro (downtown)

Friday 31 July

Lecture: Friday Morning: Lecture Block 5

Convener: Matthew Feickert (University of Wisconsin (US))

9 Reimbursement logistics

Speaker: Matthew Feickert (University of Wisconsin (US))

Reimbursement docs

10 Statistical tools: pyhf and cabinetry

Speaker: Matthew Feickert (University of Wisconsin (US))

held_template_fits_pyhf_cabinetry_2024-07-19.pdf

Materials on GitHub

10:00 Coffee break

Lecture: Friday Morning: Lecture Block 6

Convener: Matthew Feickert (University of Wisconsin (US))

11 ServiceX

Speaker: Roger Janusiak (University of Washington)

ServiceX For ATLAS.pdf

12 Introduction to agentic workflows with National Research Platform (NRP) open models

Speakers: Gordon Watts (University of Washington (US)), Matthew Feickert (University of Wisconsin (US)), Roger Janusiak (University of Washington)

LLM Performance

Materials on GitHub

12:00 Lunch

Interactive Sessions: Friday Afternoon: Interactive Session 1

Convener: Matthew Feickert (University of Wisconsin (US))

13 Training Session Survey

Speaker: Matthew Feickert (University of Wisconsin (US))

Training Session Feedback Survey

14 Interactive work session

15 Sample game summary

Speaker: Matthew Feickert (University of Wisconsin (US))

15:00 Coffee break

Interactive Sessions: Friday Afternoon: Interactive Session 2

Convener: Matthew Feickert (University of Wisconsin (US))

16 Q&A / Discussion and work time