| Title |
Evolutionary Many-objective Optimization Algorithm for Large-bandwidth Free-Electron-Laser Generation |
| Authors |
- J.W. Yan, H.X. Deng
SINAP, Shanghai, People’s Republic of China
|
| Abstract |
X-ray free-electron lasers (XFELs) are leading-edge instruments in a wide range of research fields. Besides pursuing narrow bandwidth FEL pulses, the large-bandwidth XFEL pulses are very useful in various spectroscopy experiments, multi-wavelength anomalous diffraction, and X-ray crystallography. Overcompression operation scheme can be utilized to generate electron beams with large energy chirp which is benefit for bandwidth broadening. Recently, an evolutionary many-objective (having four or more objectives) algorithm, NSGA-III, was used to optimize the electron beam parameters in the overcompression including energy chirp, energy spread, current profile, peak current, and projected emittance. In this paper, combining with the Xie’s semianalytical estimate formula, the NSGA-III is utilized to find an optimal working point of linac by optimizing the XFEL pulse properties directly. Start-to-end numerical simulations based on the Shanghai soft X-ray Free-Electron Laser user facility parameters demonstrate that a full bandwidth of 4.75% can be generated.
|
| Funding |
National Natural Science Foundation of China , the National Key Research and Development Program of China, the Young Elite Scientist Sponsorship Program by CAST and Ten Thousand Talent Program. |
| Paper |
download MOPO042.PDF [0.520 MB / 3 pages] |
| Export |
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| Conference |
LINAC2018 |
| Series |
Linear Accelerator Conference (29th) |
| Location |
Beijing, China |
| Date |
16-21 September 2018 |
| Publisher |
JACoW Publishing, Geneva, Switzerland |
| Editorial Board |
Guoxi Pei (IHEP, Beijing, China); Volker RW Schaa (GSI, Darmstadt, Germany); Yong Ho Chin (KEK, Tsukuba, Japan); Shinian Fu (IHEP, Beijing, China); Ning Zhao (IHEP, Beijing, China) |
| Online ISBN |
978-3-95450-194-6 |
| Online ISSN |
2226-0366 |
| Received |
12 September 2018 |
| Accepted |
21 September 2018 |
| Issue Date |
18 January 2019 |
| DOI |
doi:10.18429/JACoW-LINAC2018-MOPO042 |
| 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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