THPM032

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URL	https://doi.org/10.18429/JACoW-IPAC2025-THPM032
Title	Toward autonomous control: reinforcement learning for improving CLEAR accelerator performance
Authors	A. Gilardi University of Naples Federico II A. Malyzhenkov, A. Petersson, A. Aksoy, B. Rodriguez Mateos, D. Gamba, E. Granados, G. Tangari, L. Bonnard, L. Wroe, L. Foldesi, M. Schenk, O. Franek, R. Corsini, V. Kain, V. Rieker, W. Farabolini European Organization for Nuclear Research A. Mostacci Sapienza University of Rome A. Pollastro Naples University Federico II and INFN K. Sjobak University of Oslo P. Korysko University of Oxford
Abstract	Particle accelerators like CLEAR (CERN Linear Accearator for research) are essential tools in advancing various scientific fields. Automating their operation to ensure stability and reproducibility is crucial for future large-scale projects. This paper explores the first steps toward autonomous control of the CLEAR beamline, focusing initially on beam steering and advancing to complex tasks like quadrupole alignment, vital for operational stability. Reinforcement Learning (RL) agents that adapt in real-time via beam screens measurements were trained and tested. The approach is optimized for sampling efficiency, addressing the high cost and invasiveness of data collection in accelerator environments. The method enables single-shot optimization for real operations, reducing the need for manual intervention. Results show that a few hours of training suffice for effective single-step corrections in the latter part of the CLEAR beamline, inspiring further development by the CLEAR research team.
Paper	download: THPM032.pdf
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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	28 May 2025
Revised	03 June 2025
Accepted	05 June 2025
Issued	05 November 2025
DOI	10.18429/JACoW-IPAC2025-THPM032
Pages	2751-2754
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.