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
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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.
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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] |
Export |
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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 |
Published 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. |
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