JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
@inproceedings{morita:cyclotrons2022-thpo019,
author = {Y. Morita and M. Fukuda and H. Kanda and T. Washio and T. Yorita},
title = {{Control of a Cyclotron and an ECR Ion Source Using Bayesian Optimization Method}},
% booktitle = {Proc. CYCLOTRONS'22},
booktitle = {Proc. 23rd Int. Conf. Cyclotrons Appl. (CYCLOTRONS'22)},
pages = {347--350},
paper = {THPO019},
language = {english},
keywords = {experiment, ion-source, brightness, LEBT, ECR},
venue = {Beijing, China},
series = {International Conference on Cyclotrons and their Applications},
number = {23},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {10},
year = {2023},
issn = {2673-5482},
isbn = {978-3-95450-212-7},
doi = {10.18429/JACoW-CYCLOTRONS2022-THPO019},
url = {https://jacow.org/cyclotrons2022/papers/thpo019.pdf},
abstract = {{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.}},
}