Machine learning–based longitudinal phase space tuning for X-ray free-electron laser
Year: 2025
Type: conference-paper
Abstract: Precise control of the longitudinal phase space (LPS) in X-ray free-electron laser (XFEL) is critical for optimizing beam qualities and X-ray pulses properties required by the experimental stations. We present results of using machine learning techniques for LPS shaping and control with Bayesian optimization.
Source: JACOW
Authors: Zhu,Zihan, Edelen,Auralee
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7109177804
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