arXiv Open Access 2026

Results of the analysis of a survey for young scientists on training quality in HEP instrumentation software and machine learning

Cecilia Borca Javier Jiménez Peña David Marckx Malgorzata Niemiec Elisabetta Spadaro Norella +1 lainnya

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Abstrak

A 2021 study by the ECFA Early-Career Researchers Panel revealed that 71% of 334 respondents used open-source software tools in their instrumentation work, yet 70% reported receiving no training for these tools. In response, the Software and Machine Learning for Instrumentation group was formed in the ECFA Early-Career Researchers Panel to assess the accessibility and quality of training programs in machine learning and software for early-career researchers in experimental and applied physics. This group launched a new survey, reaching 174 participants. This report summarises the survey results in detail, and is intended to serve as a guiding document to improve the training programs that are available to early-career researchers.

Topik & Kata Kunci

hep-ex cs.SE

Penulis (6)

Cecilia Borca

Javier Jiménez Peña

David Marckx

Malgorzata Niemiec

Elisabetta Spadaro Norella

Marta Urbaniak

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APA MLA BibTeX

Borca, C., Peña, J.J., Marckx, D., Niemiec, M., Norella, E.S., Urbaniak, M. (2026). Results of the analysis of a survey for young scientists on training quality in HEP instrumentation software and machine learning. https://arxiv.org/abs/2603.16293

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Informasi Jurnal

Tahun Terbit: 2026
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓