ICALEPCS2025 - Proceedings
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URLhttps://doi.org/10.18429/JACoW-ICALEPCS2025-WEMG015
TitleUpgrading the ATLAS tune archiving system
Authors
  • K. Bunnell, B. Blomberg, C. Dickerson, D. Stanton, D. Novak, G. Dunn, M. Torres
    Argonne National Laboratory
  • A. Ramaswamy
    Argonne National Laboratory, University of Illinois Urbana-Champaign
AbstractThe Argonne Tandem Linear Accelerating System (ATLAS) facility at Argonne National Laboratory is a National User Facility capable of delivering ion beams from hydrogen to uranium. The existing tune archiving system, which utilizes Corel’s Paradox relational data-base management software, is responsible for retrieving and restoring machine parameters from previously optimized configurations. However, the Paradox platform suffers from outdated support, a proprietary programming language, and limited functionality, prompting the need for a modern replacement. To address these limitations, ATLAS is transitioning to a new archiving system based on PySide for the user interface, InfluxDB for time-series data storage, and FastAPI for backend communication.
Paperdownload: WEMG015.pdf
CiteBibTeX, LaTeX, Text/Word, RIS, EndNote
Conference20th Int. Conf. Accel. Large Exp. Phys. Control Syst. (ICALEPCS'25)
Series
LocationChicago, IL, USA
Date20-26 Sep 2025
PublisherJACoW Publishing, Geneva, Switzerland
Editorial BoardKent Wootton (ANL), Jeffery Biss (FNAL), Gustavo Bruno (ANL), Jeff Kirchman (ANL), Kelly Jaje (ANL), Denise Skiadopoulos (ANL), SuYin Grass Wang (ANL)
Online ISBN978-3-95450-255-4
Online ISSN2226-0358
Received22 September 2025
Revised23 September 2025
Accepted30 October 2025
Issued25 November 2025
DOI10.18429/JACoW-ICALEPCS2025-WEMG015
Pages966-969
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.