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Creators/Authors contains: "DeMuth, David"

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  1. ; ; ; ; ; ; ; ; ; ; et al (, Frontiers in Big Data)
    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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    Free, publicly-accessible full text available February 9, 2026
  2. ; ; (, EPJ Web of Conferences)
    De_Vita, R; Espinal, X; Laycock, P; Shadura, O (Ed.)
    Providing computing training to the next generation of physicists is the principal driver for a biannual multi-day training workshop hosted by the DUNE Computing Consortium. Materials are cast in a Software Carpentry’s template, and topics have included storage space, data management, LArSoft, grid job submission and monitoring. Moreover, experts provide extended breakout sessions to demonstrate the fundamentals of the unique software used in HEP analysis. Each session uses live documents for real time correspondence, and are captured on Zoom; afterwards, videos are embedded on the corresponding web-pages for review. As a GitHub repository, shared editing of the learning modules is straightforward, and provides a trusted framework to extend to other training topics in the future. An overview of the tutorials as well as the machinery used, along with survey statistics and lessons learned is presented. 
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