Online Betatron Tune Feedback in the HLS-II Storage Ring

Wang, Siwei; Xu, Wei; Ke, Xuan; Li, Jingyi

doi:10.1109/tns.2019.2905603

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“…To meet the design specifications or further improve beam stability, appropriate measures must be proposed for the machine. Although existing technologies are being used to improve beam stability, new technologies are being sought to improve beam stability [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Research on tune feedback of the Hefei Light Source II based on machine learning

Liu

et al. 2022

NUCL SCI TECH

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The theory of tune feedback correction and the principle of a feedback algorithm based on machine learning are introduced, with a focus on the application of lasso regression for tune feedback correction. Simulation verification and online feedback correction results are presented. The results show that, after applying machine learning, the feedback accuracy of the tune feedback system was higher, and the betatron tune stability was further improved.

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Section: Introductionmentioning

confidence: 99%