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Training and onboarding initiatives in high energy physics experiments

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Preprint , Research 10 Feb 2025Embargo end date: 01 Jan 2023 United Kingdom, France, United Kingdom Publisher:Frontiers Media SAJournal:Frontiers in Big Data, volume 8 (eissn: 2624-909X, Copyright policy )Funded by:NSF | U.S. CMS Operations at th..., NSF | Collaborative Research: C..., NSF | RUI: Casting Light On A S... +5 projects
Authors: Allison Reinsvold Hall; Nicole Skidmore; Gabriele Benelli; Ben Carlson; Ben Carlson; Claire David; Jonathan Davies; +14 Authors

doi: 10.3389/fdata.2025.1497622 , 10.48550/arxiv.2310.07342

pmid: 39996123

pmc: PMC11847898

arXiv: 2310.07342

Training and onboarding initiatives in high energy physics experiments

Abstract

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.

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United Kingdom, France, United Kingdom
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Keywords

Big Data, training, DUNE, [PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex], CMS, hep-ex, data analysis, analysis software, FOS: Physical sciences, BELLE, Information technology, ATLAS, T58.5-58.64, 530, LHC-B, programming, high energy physics, High Energy Physics - Experiment, High Energy Physics - Experiment (hep-ex), scientific computing, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], onboarding

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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gold
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