Paper |
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WE4P19 |
Simulation Study of Orbit Correction by Neural Network in Taiwan Photon Source |
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- M.-S. Chiu, Y.-S. Cheng, G.-H. Luo, H.-J. Tsai, F.H. Tseng
NSRRC, Hsinchu, Taiwan
- C.P. Felix
MCL/ITRI, Hsinchu, Taiwan
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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).
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Poster WE4P19 [0.843 MB]
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DOI • |
reference for this paper
※ doi:10.18429/JACoW-FLS2023-WE4P19
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About • |
Received ※ 23 August 2023 — Revised ※ 29 August 2023 — Accepted ※ 30 August 2023 — Issued ※ 02 December 2023 |
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