IPAC'25 - Proceedings
Taipei, Taiwan
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URLhttps://doi.org/10.18429/JACoW-IPAC2025-MOPB101
TitleBayesian optimization for the local bump injection in the HLS-II storage ring
Authors
  • Z. Wang, G. Liu, K. Chen, M. Hosaka, T. He, W. Xu
    University of Science and Technology of China
  • L. Guo
    Hiroshima University
AbstractCurrently, a conventional local bump injection system with four pulsed dipole kicker magnets is adopted in the Hefei Light Source II (HLS-II) storage ring to achieve topoff operation. Due to the multipole magnets located between the kickers in the injection section, the local bump injection presents technical challenges in forming a perfect closed bump, which causes oscillation to the stored beam. In order to reduce the injection disturbance on the stored beam, the Bayesian Optimization (BO) method is employed to determine the kick angles of the four bump kickers.
Paperdownload: MOPB101.pdf
CiteBibTeX, LaTeX, Text/Word, RIS, EndNote
Conference16th International Particle Accelerator Conference
Series
LocationTaipei, Taiwan
Date01-06 Jun 2025
PublisherJACoW 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 ISBN978-3-95450-248-6
Online ISSN2673-5490
Received09 April 2025
Revised31 May 2025
Accepted01 June 2025
Issued05 November 2025
DOI10.18429/JACoW-IPAC2025-MOPB101
Pages242-245
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