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https://doi.org/10.18429/JACoW-IPAC2019-WEPRB080
Title Optimization of RF Cavities Using MOGA for ALS-U
Authors
  • H.Q. Feng, K.M. Baptiste, D. Li, T.H. Luo
    LBNL, Berkeley, California, USA
  • H.Q. Feng, W.-H. Huang, Z.N. Liupresenter, C.-X. Tang
    TUB, Beijing, People’s Republic of China
Abstract A multi-objective genetic algorithm-based optimiza-tion process has been applied to optimize the RF design of a 500 MHz main cavity and a 1.5 GHz Higher Harmon-ic Cavity (HHC) for the Advanced Light Source upgrade (ALS-U) in Lawrence Berkeley National Laboratory (LBNL). For the main cavity, a significant improvement, compared with the existing ALS cavity, has been achieved in cavity shunt impedance and power loss den-sity simultaneously. The field strengths and distribution of the optimized structure are analysed for further re-search. For the HHC, a cavity with low R/Q has been pre-liminary designed to mitigate the beam instability. This study also serves as an example of how a genetic algo-rithm can be used for optimizing RF cavities.
Funding Director of Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231
Paper download WEPRB080.PDF [0.621 MB / 4 pages]
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Conference IPAC2019
Series International Particle Accelerator Conference (10th)
Location Melbourne, Australia
Date 19-24 May 2019
Publisher JACoW Publishing, Geneva, Switzerland
Editorial Board Mark Boland (UoM, Saskatoon, SK, Canada); Hitoshi Tanaka (KEK, Tsukuba, Japan); David Button (ANSTO, Kirrawee, NSW, Australia); Rohan Dowd (ANSTO, Kirrawee, NSW, Australia); Volker RW Schaa (GSI, Darmstadt, Germany); Eugene Tan (ANSTO, Kirrawee, NSW, Australia)
Online ISBN 978-3-95450-208-0
Received 16 May 2019
Accepted 22 May 2019
Issue Date 21 June 2019
DOI doi:10.18429/JACoW-IPAC2019-WEPRB080
Pages 3007-3010
Copyright
Creative Commons CC logoPublished by JACoW Publishing under the terms of the Creative Commons Attribution 3.0 International license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI.