9–13 Sept 2024
Wanda Realm Beijing
Asia/Shanghai timezone
IBIC2024 Final Proceedings: https://accelconf.web.cern.ch/ibic2024/

Machine Learning Used in BPM Displacement Prediction at HLS II

THP60
12 Sept 2024, 16:00
1h 30m
China Hall 3

China Hall 3

Poster Presentation MC8: Machine Parameter Measurements THP: Thursday Poster Session

Speaker

Chuhan Wang (University of Science and Technology of China)

Description

Beam orbit stability is a crucial indicator that can be used to evaluate the performance of a synchrotron radiation source. It can be improved through precise orbit measurement with beam position monitors (BPMs) and appropriate orbit feedback. The move-ment of BPMs directly affects the measurement of the beam orbit and indirectly affects the beam orbit through orbit feedback (OFB) system. Two sets of BPM displacement measurement system were estab-lished at Hefei Light Source II (HLS II) storage ring and some machine learning work was carried out on the system.

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Primary authors

Bao-gen Sun (University of Science and Technology of China) Chuhan Wang (University of Science and Technology of China) Dongyu Wang (University of Science and Technology of China) Jinkai Lan (University of Science and Technology of China) MingDong Ma (University of Science and Technology of China) Tianyu Zhou (University of Science and Technology of China)

Presentation materials

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