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RIS citation export for WEPV011: Research on Correction of Beam Beta Function of HLS-II Storage Ring Based on Deep Learning

TY  - CONF
AU  - Yu, Y.B.
AU  - Li, C.
AU  - Li, W.
AU  - Liu, G.
AU  - Xu, W.
AU  - Xuan, K.
ED  - Furukawa, Kazuro
ED  - Yan, Yingbing
ED  - Leng, Yongbin
ED  - Chen, Zhichu
ED  - Schaa, Volker R.W.
TI  - Research on Correction of Beam Beta Function of HLS-II Storage Ring Based on Deep Learning
J2  - Proc. of ICALEPCS2021, Shanghai, China, 14-22 October 2021
CY  - Shanghai, China
T2  - International Conference on Accelerator and Large Experimental Physics Control Systems
T3  - 18
LA  - english
AB  - The beam stability of the storage ring determines the light quality of synchrotron radiation. The beam stability of the storage ring will be affected by many factors ’such as magnetic field error, installation error, foundation vibration, temperature variation, etc., so it is inevitable to correct the beam optical parameters to improve the beam stability. In this paper, the deep learning technology is used to establish the HLS-II storage ring beam stability model, and the beam optical parameters can be corrected based on the model. The simulation results show that this method realizes the simulation correction of the Beta function of the HLS-II storage ring, and the correction accuracy precision meets the design requirements.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 645
EP  - 647
KW  - network
KW  - storage-ring
KW  - quadrupole
KW  - controls
KW  - feedback
DA  - 2022/03
PY  - 2022
SN  - 2226-0358
SN  - 978-3-95450-221-9
DO  - doi:10.18429/JACoW-ICALEPCS2021-WEPV011
UR  - https://jacow.org/icalepcs2021/papers/wepv011.pdf
ER  -