THPS048

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URL	https://doi.org/10.18429/JACoW-IPAC2025-THPS048
Title	eLog analysis for accelerators: status and future outlook
Authors	A. Sulc, T. Hellert Lawrence Berkeley National Laboratory A. Reed, A. Bien, C. Bisegni, D. Ratner SLAC National Accelerator Laboratory A. Carpenter, C. Tennant, D. Lersch, D. Lawrence, D. McSpadden, T. Britton Thomas Jefferson National Accelerator Facility H. Hoschouer, J. St. John Fermi National Accelerator Laboratory
Abstract	This work demonstrates electronic logbook (eLog) systems leveraging modern AI-driven information retrieval capabilities at the accelerator facilities of Fermilab, Jefferson Lab, Lawrence Berkeley National Laboratory (LBNL), SLAC National Accelerator Laboratory. We evaluate contemporary tools and methodologies for information retrieval with Retrieval Augmented Generation (RAGs), focusing on operational insights and integration with existing accelerator control systems. The study addresses challenges and proposes solutions for state-of-the-art eLog analysis through practical implementations, demonstrating applications and limitations. We present a framework for enhancing accelerator facility operations through improved information accessibility and knowledge management, which could potentially lead to more efficient operations.
Paper	download: THPS048.pdf
Cite	BibTeX, LaTeX, Text/Word, RIS, EndNote
Conference	16th International Particle Accelerator Conference
Series
Location	Taipei, Taiwan
Date	01-06 Jun 2025
Publisher	JACoW Publishing, Geneva, Switzerland
Editorial Board	* Ming-Chyuan Lin - National Synchrotron Radiation Research Center * Yoichi Sato - KEK * Jui-Che Huang - National Synchrotron Radiation Research Center * David Button - Australian Nuclear Science and Technology Organisation * Ping-Shun Chuang - National Synchrotron Radiation Research Center
Online ISBN	978-3-95450-248-6
Online ISSN	2673-5490
Received	10 June 2025
Revised	14 June 2025
Accepted	14 June 2025
Issued	05 November 2025
DOI	10.18429/JACoW-IPAC2025-THPS048
Pages	3076-3079
Copyright	Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI.