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REVIEW article
Front. Big Data
Sec. Big Data and AI in High Energy Physics
Volume 8 - 2025 |
doi: 10.3389/fdata.2025.1497622
Training and Onboarding Initiatives in High Energy Physics Experiments
Provisionally accepted- 1 United States Naval Academy, Annapolis, United States
- 2 University of Warwick, Coventry, West Midlands, United Kingdom
- 3 Brown University, Providence, Rhode Island, United States
- 4 Westmont College, Santa Barbara, California, United States
- 5 University of Pittsburgh, Pittsburgh, Pennsylvania, United States
- 6 African Institute for Mathematical Sciences, Faculty of Science, Stellenbosch University, Muizenberg, South Africa
- 7 The University of Manchester, Manchester, England, United Kingdom
- 8 University of Manitoba, Winnipeg, Manitoba, Canada
- 9 Valley City State University, Valley City, North Dakota, United States
- 10 Princeton University, Princeton, New Jersey, United States
- 11 Stanford University, Stanford, California, United States
- 12 European Organization for Nuclear Research (CERN), Geneva, Geneva, Switzerland
- 13 Brookhaven National Laboratory (DOE), Upton, New York, United States
- 14 University of Zurich, Zürich, Zürich, Switzerland
- 15 National Academy of Sciences of Ukraine, Kyiv, Ukraine
- 16 University of Puerto Rico at Mayagüez, Mayagüez, Puerto Rico
- 17 Faculté des Sciences, Aix Marseille Université, Marseille, Provence-Alpes-Côte d'Azur, France
- 18 Oregon State University, Corvallis, Oregon, United States
- 19 California State University, Stanislaus, Turlock, California, United States
In this paper we document the current analysis software training and onboarding activities in several High Energy Physics (HEP) experiments: ATLAS, CMS, LHCb, Belle II and DUNE.Fast and efficient onboarding of new collaboration members is increasingly important for HEP experiments. With rapidly increasing data volumes and larger collaborations the analyses and consequently, the related software, become ever more complex. This necessitates structured onboarding and training. Recognising this, a meeting series was held by the HEP Software Foundation (HSF) in 2022 for experiments to showcase their initiatives. Here we document and analyze these in an attempt to determine a set of key considerations for future HEP experiments.
Keywords: training, Onboarding, analysis software, scientific computing, data analysis, High Energy Physics, Particle physics
Received: 17 Sep 2024; Accepted: 16 Jan 2025.
Copyright: © 2025 Reinsvold Hall, Skidmore, Benelli, Carlson, David, Davies, Deconinck, DeMuth, Jr., Elmer, Garg, Hageboeck, Hernandez Villanueva, Lieret, Lukashenko, Malik, Morris, Schellman, Stewart and Veatch. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Allison Reinsvold Hall, United States Naval Academy, Annapolis, United States
Nicole Skidmore, University of Warwick, Coventry, CV4 7AL, West Midlands, United Kingdom
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