ICALEPCS 2025 - The 20th International Conference on Accelerator and Large Experimental Physics Control Systems

Machine learning–based longitudinal phase space tuning for X-ray free-electron laser

WEMR005

24 Sept 2025, 15:09

3m

Red Lacquer Room (Palmer House Hilton Chicago)

Poster Presentation with Mini Oral MC13: Artificial Intelligence & Machine Learning WEMR Mini-Orals (MC13, MC14, MC15)

Speaker

Zihan Zhu (SLAC National Accelerator Laboratory)

Description

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.