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RIS citation export for MOPO042: Evolutionary Many-objective Optimization Algorithm for Large-bandwidth Free-Electron-Laser Generation

AU  - Yan, J.W.
AU  - Deng, H.X.
ED  - Schaa, Volker RW
ED  - Pei, Guoxi
ED  - Chin, Yong Ho
ED  - Fu, Shinian
ED  - Zhao, Ning
TI  - Evolutionary Many-objective Optimization Algorithm for Large-bandwidth Free-Electron-Laser Generation
J2  - Proc. of LINAC2018, Beijing, China, 16-21 September 2018
CY  - Beijing, China
T2  - Linear Accelerator Conference
T3  - 29
LA  - english
AB  - 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.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 121
EP  - 123
KW  - electron
KW  - laser
KW  - free-electron-laser
KW  - linac
DA  - 2019/01
PY  - 2019
SN  - 2226-0366
SN  - 978-3-95450-194-6
DO  - DOI: 10.18429/JACoW-LINAC2018-MOPO042
UR  - http://jacow.org/linac2018/papers/mopo042.pdf
ER  -