Training and onboarding initiatives in high energy physics experiments
In this article 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 i...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Big Data |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fdata.2025.1497622/full |
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| author | Allison Reinsvold Hall Nicole Skidmore Gabriele Benelli Ben Carlson Ben Carlson Claire David Jonathan Davies Wouter Deconinck David DeMuth Peter Elmer Rocky Bala Garg Stephan Hageböck Killian Lieret Valeriia Lukashenko Valeriia Lukashenko Sudhir Malik Andy Morris Heidi Schellman Graeme A. Stewart Jason Veatch Michel Hernandez Villanueva |
| author_facet | Allison Reinsvold Hall Nicole Skidmore Gabriele Benelli Ben Carlson Ben Carlson Claire David Jonathan Davies Wouter Deconinck David DeMuth Peter Elmer Rocky Bala Garg Stephan Hageböck Killian Lieret Valeriia Lukashenko Valeriia Lukashenko Sudhir Malik Andy Morris Heidi Schellman Graeme A. Stewart Jason Veatch Michel Hernandez Villanueva |
| author_sort | Allison Reinsvold Hall |
| collection | DOAJ |
| description | In this article 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. Recognizing 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. |
| format | Article |
| id | doaj-art-d243b5c4a8c840e3aab2c707d7117987 |
| institution | Kabale University |
| issn | 2624-909X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Big Data |
| spelling | doaj-art-d243b5c4a8c840e3aab2c707d71179872025-02-10T06:48:46ZengFrontiers Media S.A.Frontiers in Big Data2624-909X2025-02-01810.3389/fdata.2025.14976221497622Training and onboarding initiatives in high energy physics experimentsAllison Reinsvold Hall0Nicole Skidmore1Gabriele Benelli2Ben Carlson3Ben Carlson4Claire David5Jonathan Davies6Wouter Deconinck7David DeMuth8Peter Elmer9Rocky Bala Garg10Stephan Hageböck11Killian Lieret12Valeriia Lukashenko13Valeriia Lukashenko14Sudhir Malik15Andy Morris16Heidi Schellman17Graeme A. Stewart18Jason Veatch19Michel Hernandez Villanueva20Physics Department, United States Naval Academy, Annapolis, MD, United StatesDepartment of Physics, University of Warwick, Coventry, United KingdomDepartment of Physics, Brown University, Providence, RI, United StatesPhysics Department, Westmont College, Santa Barbara, CA, United StatesPhysics and Astronomy, University of Pittsburgh, Pittsburgh, PA, United StatesAfrican Institute for Mathematical Sciences, Cape Town, South AfricaDepartment of Physics and Astronomy, University of Manchester, Manchester, United KingdomPhysics and Astronomy, University of Manitoba, Winnipeg, MB, CanadaDepartment of Science, Valley City State University, Valley City, ND, United States0Department of Physics, Princeton University, Princeton, NJ, United States1Physics Department, Stanford University, Stanford, CA, United States2European Organization for Nuclear Research (CERN), Geneva, Switzerland0Department of Physics, Princeton University, Princeton, NJ, United States3Physics Institute, University of Zurich, Zurich, Switzerland4Institute for Nuclear Research, National Academy of Sciences of Ukraine, Kyiv, Ukraine5Physics Department, University of Puerto Rico Mayaguez, Mayaguez, Puerto Rico6CNRS/IN2P3, CPPM, Aix Marseille University, Marseille, France7Department of Physics, Oregon State University, Corvallis, OR, United States2European Organization for Nuclear Research (CERN), Geneva, Switzerland8Department of Physics and Physical Sciences, California State University Stanislaus, Turlock, CA, United States9Physics Department, Brookhaven National Laboratory, Upton, NY, United StatesIn this article 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. Recognizing 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.https://www.frontiersin.org/articles/10.3389/fdata.2025.1497622/fulltrainingonboardinganalysis softwarescientific computingdata analysishigh energy physics |
| spellingShingle | Allison Reinsvold Hall Nicole Skidmore Gabriele Benelli Ben Carlson Ben Carlson Claire David Jonathan Davies Wouter Deconinck David DeMuth Peter Elmer Rocky Bala Garg Stephan Hageböck Killian Lieret Valeriia Lukashenko Valeriia Lukashenko Sudhir Malik Andy Morris Heidi Schellman Graeme A. Stewart Jason Veatch Michel Hernandez Villanueva Training and onboarding initiatives in high energy physics experiments Frontiers in Big Data training onboarding analysis software scientific computing data analysis high energy physics |
| title | Training and onboarding initiatives in high energy physics experiments |
| title_full | Training and onboarding initiatives in high energy physics experiments |
| title_fullStr | Training and onboarding initiatives in high energy physics experiments |
| title_full_unstemmed | Training and onboarding initiatives in high energy physics experiments |
| title_short | Training and onboarding initiatives in high energy physics experiments |
| title_sort | training and onboarding initiatives in high energy physics experiments |
| topic | training onboarding analysis software scientific computing data analysis high energy physics |
| url | https://www.frontiersin.org/articles/10.3389/fdata.2025.1497622/full |
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