Spectral-brightness optimization of an X-ray free-electron laser by machine-learning-based tuning

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 an...

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Detalles Bibliográficos
Autores principales: Iwai, Eito, Inoue, Ichiro, Maesaka, Hirokazu, Inagaki, Takahiro, Yabashi, Makina, Hara, Toru, Tanaka, Hitoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2023
Materias:
Research Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624030/
https://www.ncbi.nlm.nih.gov/pubmed/37885153
http://dx.doi.org/10.1107/S1600577523007737

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624030/
https://www.ncbi.nlm.nih.gov/pubmed/37885153
http://dx.doi.org/10.1107/S1600577523007737

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