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RIS citation export for WE4P19: Simulation Study of Orbit Correction by Neural Network in Taiwan Photon Source

TY  - CONF
AU  - Chiu, M.-S.
AU  - Cheng, Y.-S.
AU  - Felix, C.P.
AU  - Luo, G.-H.
AU  - Tsai, H.-J.
AU  - Tseng, F.H.
ED  - Braun, Hans-Heinrich
ED  - Chrin, Jan
ED  - Ganter, Romain
ED  - Hiller, Nicole
ED  - Schaa, Volker RW
TI  - Simulation Study of Orbit Correction by Neural Network in Taiwan Photon Source
J2  - Proc. of FLS2023, Luzern, Switzerland, 27 August-01 September 2023
CY  - Luzern, Switzerland
T2  - ICFA Advanced Beam Dynamics Workshop
T3  - 67
LA  - english
AB  - Machine learning has been applied in many fields in re-cent decades. Many research articles also presented re-markable achievements in either operation or designing of the particle accelerator. This paper focuses on the simulated orbit correction by neural networks, a subset of machine learning, in Taiwan Photon Source. The training data for the neural network is generated by accelerator toolbox (AT).
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 188
EP  - 191
KW  - network
KW  - storage-ring
KW  - lattice
KW  - synchrotron
KW  - photon
DA  - 2024/01
PY  - 2024
SN  - 2673-7035
SN  - 978-3-95450-224-0
DO  - doi:10.18429/JACoW-FLS2023-WE4P19
UR  - http://jacow.org/fls2023/papers/we4p19.pdf
ER  -