JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
TY - CONF AU - Morita, Y. AU - Fukuda, M. AU - Kanda, H. AU - Washio, T. AU - Yorita, T. ED - Zhang, Tianjue ED - Schaa, Volker R.W. ED - An, Shizhong ED - Kiselev, Daniela ED - Liu, Yuntao ED - Li, Pengzhan TI - Control of a Cyclotron and an ECR Ion Source Using Bayesian Optimization Method J2 - Proc. of CYCLOTRONS2022, Beijing, China, 05-09 December 2022 CY - Beijing, China T2 - International Conference on Cyclotrons and their Applications T3 - 23 LA - english AB - 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. PB - JACoW Publishing CP - Geneva, Switzerland SP - 347 EP - 350 KW - experiment KW - ion-source KW - brightness KW - LEBT KW - ECR DA - 2023/10 PY - 2023 SN - 2673-5482 SN - 978-3-95450-212-7 DO - doi:10.18429/JACoW-CYCLOTRONS2022-THPO019 UR - https://jacow.org/cyclotrons2022/papers/thpo019.pdf ER -