Application of machine learning in orbital correction of storage ring

Li Ruichun; Zhang Qinglei; Mi Qingru; Jiang Bocheng; Wang Kun; Li Changliang; Zhao Zhentang

doi:10.11884/HPLPB202133.200318

Volume 33 Issue 3

Mar. 2021

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Article Navigation > High Power Laser and Particle Beams > 2021 > 33(3): 034007

Li Ruichun, Zhang Qinglei, Mi Qingru, et al. Application of machine learning in orbital correction of storage ring[J]. High Power Laser and Particle Beams, 2021, 33: 034007. doi: 10.11884/HPLPB202133.200318

Citation:

Li Ruichun, Zhang Qinglei, Mi Qingru, et al. Application of machine learning in orbital correction of storage ring[J]. High Power Laser and Particle Beams, 2021, 33: 034007. doi: 10.11884/HPLPB202133.200318

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Application of machine learning in orbital correction of storage ring

doi: 10.11884/HPLPB202133.200318

Li Ruichun^{1, 2, 3
,},
Zhang Qinglei^{4
,
,},
Mi Qingru⁴,
Jiang Bocheng⁴,
Wang Kun⁴,
Li Changliang^{1, 3, 4},
Zhao Zhentang^{1, 2, 3, 4}

1.
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
2.
ShanghaiTech University, Shanghai 201204, China
3.
University of Chinese Academy of Sciences, Beijing 100049, China
4.
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, China

Received Date: 2020-11-23
Rev Recd Date: 2021-01-19

Available Online: 2021-03-30

Publish Date: 2021-03-05

Abstract

Abstract

Synchrotron light source is one of the most powerful tools in modern science and technology. Shanghai Synchrotron Radiation Facility (SSRF), located in Shanghai, China, is an advanced 3.5 GeV 3rd-generation medium energy light source. The 3rd-generation synchrotron radiation light source will provide high brilliance and high stability synchrotron radiation to fulfill the advanced experimental conditions in frontier researches. To achieve highly stable radiation, it is important to have highly stable beam orbit. Thus we adopted machine learning method to control and feedback the orbit. Using this neural network-based orbit correction method, which doesn’t rely on the response matrix, we can establish a nonlinear mapping relationship between correctors and the orbit distortions and perform continuous online retraining. This new method can significantly improve the orbit stability of SSRF.
- Shanghai Synchrotron Radiation Facility,
- storage ring,
- orbit correction,
- orbit feedback,
- machine learning

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References(26)

References

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