Preprint

PUBDB-2025-01092

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Towards unlocking insights from logbooks using AI

Sulc, A. (Corresponding author) ; Bien, A. ; Eichler, A.XFEL.EU*DESY* ; Ratner, D. ; Rehm, F. ; Mayet, F.Extern*DESY* ; Hartmann, G. ; Hoschouer, H. ; Tuennermann, H.DESY* ; Kaiser, J.DESY* ; St. John, J. ; Maldonado, J. ; Hazelwood, K. J. ; Kammering, R.XFEL.EU*DESY* ; Hellert, T.Extern*DESY* ; Wilksen, T.DESY* ; Kain, V. ; Hu, W.-L.

2024

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Please use a persistent id in citations: doi:10.3204/PUBDB-2025-01092

Report No.: FERMILAB-CONF-24-0237-AD; arXiv:2406.12881

Abstract: Electronic logbooks contain valuable information about activities and events concerning their associated particle accelerator facilities. However, the highly technical nature of logbook entries can hinder their usability and automation. As natural language processing (NLP) continues advancing, it offers opportunities to address various challenges that logbooks present. This work explores jointly testing a tailored Retrieval Augmented Generation (RAG) model for enhancing the usability of particle accelerator logbooks at institutes like DESY, BESSY, Fermilab, BNL, SLAC, LBNL, and CERN. The RAG model uses a corpus built on logbook contributions and aims to unlock insights from these logbooks by leveraging retrieval over facility datasets, including discussion about potential multimodal sources. Our goals are to increase the FAIR-ness (findability, accessibility, interoperability, and reusability) of logbooks by exploiting their information content to streamline everyday use, enable macro-analysis for root cause analysis, and facilitate problem-solving automation.

Keyword(s): Accelerator Physics ; mc8-application-of-accelerators-technology-transfer-industrial-relations-and-outreach - MC8: Application of Accelerators, Technology Transfer, Industrial Relations, and Outreach ; MC8.U09 - MC8.U09 Other Applications ; acceleration ; operation ; controls ; embedded ; electron ; electronics ; timing

Note: 5 pages, 1 figure, 15th International Particle Accelerator Conference

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Contributing Institute(s):

1. Beschleunigerkontrollen (FLASH/XFEL) (MCS 4)

Research Program(s):

1. 621 - Accelerator Research and Development (POF4-621) (POF4-621)
2. InternLabs-0011 - HIR3X - Helmholtz International Laboratory on Reliability, Repetition, Results at the most advanced X-ray Sources (2020_InternLabs-0011) (2020_InternLabs-0011)

Experiment(s):

1. No specific instrument

Appears in the scientific report 2024

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Database coverage:
; ; Published

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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings/Contribution to a book Sulc, A. (Corresponding author) ; Bien, A. ; Eichler, A.XFEL.EU*DESY* ; Ratner, D. ; Rehm, F. ; Mayet, F.Extern*DESY* ; Hartmann, G. ; Hoschouer, H. ; Tuennermann, H.DESY* ; Kaiser, J. ; St. John, J. ; Maldonado, J. ; Hazelwood, K. J. ; Kammering, R.XFEL.EU*DESY* ; Hellert, T.Extern*DESY* ; Wilksen, T.DESY* ; Kain, V. ; Hu, W.-L.
Towards unlocking insights from logbooks using AI
2024[Ebook] 15th International Particle Accelerator Conference, Nashville, Tennessee : May 19-24, 2024, Nashville, Tennessee, USA : proceedings / Pilat, Fulvia ; Andrian, Ivan , [Geneva] : JACoW Publishing, [2024],
15th International Particle Accelerator Conference, IPAC'24, NashvilleNashville, USA, 19 May 2024 - 24 May 20242024-05-192024-05-24 Geneva, Switzerland : JACoW Publishing 3579 - 3582 (2024) [10.18429/JACoW-IPAC2024-THPR37]2024     Files  Fulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

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