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:
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Columnar analysis and uproot
- Distributed analysis and Dask
- Data Visualization techniques and libraries
- Coffea columnar analysis framework
- The Coffea-Casa analysis facility
- Statistical tools
Basic familiarity with basic shell, Python and Git will be assumed.
Training event materials GitHub repository
Workshop communication will take place on the IRIS-HEP Slack channel #uscms-iris-hep-analysis-software-training-2026
This is an in person event held at University of Maryland just before the USCMS annual collaboration meeting.
Some travel support will be provided to attendees, supported by IRIS-HEP. See the Application Form (link in sidebar) for more information and to apply.
Instructor Team
- Sam Albin, University of Nebraska–Lincoln
- Ianna Osborne, Princeton University
- Andres Rios-Tascon, Princeton University
- Lino Gerlach, Princeton University
- Giordon Stark, UC Santa Cruz
- Roger Janusiak, University of Washington
Organizing Committee
- Peter Elmer, Princeton University
- Matthew Feickert, University of Wisconsin-Madison
Local Organizers
- Chris Palmer, University of Maryland
All sessions will be held in Toll 2122.
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This event is sponsored by the National Science Foundation through Cooperative Agreement 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. |