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is a publisher in Geneva, Switzerland that publishes the
proceedings of accelator conferences held around the world
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| URL | https://doi.org/10.18429/JACoW-HIAT2025-TUX02 |
|---|---|
| Title | Automated beam tuning of the TRIUMF ISAC facility |
| Authors |
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| Abstract | Modern heavy ion accelerators have become more complex, with greater variability in energy, isotope selection, and A/q ratios. In response, TRIUMF has launched a program focused on automating beam tuning and delivery across its accelerator complex. This initiative includes high-level applications, model-based tuning of the accelerator, and the integration of machine learning tools. For example, Bayesian optimization is used to correct beam orbits within the TRIUMF accelerators. This presentation will provide an overview of the program's progress and highlight some exciting new results achieved over the past two years. |
| Paper | download: TUX02.pdf |
| Cite | BibTeX, LaTeX, Text/Word, RIS, EndNote |
| Conference | 16th International Conference on Heavy Ion Accelerator Technology |
| Series | |
| Location | East Lansing, MI, USA |
| Date | 22-27 Jun 2025 |
| Publisher | JACoW Publishing, Geneva, Switzerland |
| Editorial Board | Ling Wang (FRIB/MSU), Kelly Jaje (ANL), Michelle Wier (FRIB/MSU), Kent Wootton (ANL), Tong Zhang (FRIB/MSU) |
| Online ISBN | 978-3-95450-260-8 |
| Online ISSN | 2673-5547 |
| Received | 27 June 2025 |
| Revised | 27 August 2025 |
| Accepted | 27 August 2025 |
| Issued | 13 October 2025 |
| DOI | 10.18429/JACoW-HIAT2025-TUX02 |
| Pages | 74-78 |
| Copyright | Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI. |