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{todd:ecris2024-web2,
% --- JACoW template Dec 2024 ---
author = {D.S. Todd and J.Y. Benitez and H. Crawford and A. Kireeff and Y.S. Lai and M. Salathe and V. Watson},
% author = {D.S. Todd and J.Y. Benitez and H. Crawford and A. Kireeff and Y.S. Lai and M. Salathe and others},
% author = {D.S. Todd and others},
title = {{Applying machine learning techniques to the operation of the superconducting ECR ion source VENUS}},
booktitle = {Proc. 26th Int. Workshop Electron Cyclotron Resonance Ion Sources (ECRIS'24)},
eventdate = {2024-09-15/2024-09-19},
pages = {152--155},
eid = {WEB2},
language = {english},
keywords = {operation, ion-source, controls, ECR, plasma},
venue = {Darmstadt, Germany},
series = {International Workshop on Electron Cyclotron Resonance Ion Sources},
number = {26},
publisher = {JACoW Publishing},
location = {Geneva, Switzerland},
date = {2024-09},
month = {09},
year = {2024},
issn = {2222-5692},
isbn = {978-3-95450-257-8},
doi = {10.18429/JACoW-ECRIS2024-WEB2},
url = {https://jacow.org/ecris2024/papers/web2.pdf},
abstract = {{An operator of the superconducting ECR ion source VENUS tasked with optimizing the current of a specific ion species or finding a stable operating mode is faced with an operation space composed of ten-to-twenty knobs in which to determine the next move. Machine learning techniques are well-suited to multidimensional optimization spaces. Over the last three years we have been working to employ such techniques with the VENUS ion source. We will present how the introduction of computer control has allowed us to automate tasks such as source baking or to utilize optimization tools to maximize beam currents with no human intervention. Our more recent applications of Bayesian optimization and reinforcement learning to beam current maximization and the maintenance of long term source stability will also be presented. Finally, we will discuss control and diagnostic changes that we have employed to exploit the faster data collection and decision making abilities when VENUS is under computer control.}},
}