1–6 Jun 2025
Taipei International Convention Center (TICC)
Asia/Taipei timezone

Automatic online optimization at the SXFEL facility

THPS075
5 Jun 2025, 15:30
2h
Exhibiton Hall A _Salmon (TWTC)

Exhibiton Hall A _Salmon

TWTC

Poster Presentation MC6.D13 Machine Learning Thursday Poster Session

Speaker

Nanshun Huang (Shanghai Zhangjiang Laboratory)

Description

The commissioning phase of short-wavelength FEL is often lengthy due to the optimization of thousands of control variables. These variables are frequently interdependent and have non-linear correlations with FEL performance, which makes optimization of such a complex system challenging, particularly for soft XFEL. Additionally, FEL inherently suffers from shot-to-shot intensity jitter, which necessitates online optimization in the presence of strong noise. In this study, we report the results of our experiments using an evolutionary strategy algorithm to enhance FEL intensity despite large intensity jitter.

Region represented Asia

Author

Nanshun Huang (Shanghai Zhangjiang Laboratory)

Presentation materials

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