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Spectral-brightness optimization of an X-ray free-electron laser by machine-learning-based tuning.
- Source :
-
Journal of synchrotron radiation [J Synchrotron Radiat] 2023 Nov 01; Vol. 30 (Pt 6), pp. 1048-1053. Date of Electronic Publication: 2023 Oct 27. - Publication Year :
- 2023
-
Abstract
- A machine-learning-based beam optimizer has been implemented to maximize the spectral brightness of the X-ray free-electron laser (XFEL) pulses of SACLA. A new high-resolution single-shot inline spectrometer capable of resolving features of the order of a few electronvolts was employed to measure and evaluate XFEL pulse spectra. Compared with a simple pulse-energy-based optimization, the spectral width was narrowed by half and the spectral brightness was improved by a factor of 1.7. The optimizer significantly contributes to efficient machine tuning and improvement of XFEL performance at SACLA.<br /> (open access.)
Details
- Language :
- English
- ISSN :
- 1600-5775
- Volume :
- 30
- Issue :
- Pt 6
- Database :
- MEDLINE
- Journal :
- Journal of synchrotron radiation
- Publication Type :
- Academic Journal
- Accession number :
- 37885153
- Full Text :
- https://doi.org/10.1107/S1600577523007737