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Other Keywords |
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| THPO019 |
Control of a Cyclotron and an ECR Ion Source Using Bayesian Optimization Method |
experiment, ion-source, LEBT, ECR |
347 |
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- Y. Morita, M. Fukuda, H. Kanda, T. Yorita
RCNP, Osaka, Japan
- T. Washio
ISIR, Osaka, Japan
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An enormous number of parameters are tuned during accelerator operation. The tuning is ultimately dependent on the operator’s knowledge and experience. Therefore, there is a risk that tuning time and accuracy may vary depending on the operator. This tuning difficulty is an extremely important issue when implementing accelerometers in society, such as in medical applications. In this study, we developed an automatic tuning method using Bayesian optimization, one of the machine learning technique. The aim is to realize a tuning method that can supply beams in a short time with good reproducibility and comparable to manual tuning.
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Poster THPO019 [0.700 MB]
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| DOI • |
reference for this paper
※ doi:10.18429/JACoW-CYCLOTRONS2022-THPO019
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| About • |
Received ※ 21 December 2022 — Revised ※ 29 January 2023 — Accepted ※ 09 February 2023 — Issue date ※ 12 February 2023 |
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