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| URL | https://doi.org/10.18429/JACoW-HIAT2025-TUP11 |
|---|---|
| Title | Application of ML tools for extraction of BPM-Q and transverse beam matching |
| Authors |
|
| Abstract | Data inaccuracies make training an accurate Beam Quadrupole Moment at BPM (BPMQ) model challenging. Similarly, reconstructing Courant-Snyder (CS) parameters from BPMQ predictions is difficult due to BPMQ model limitations. Increasing the number of BPMQ predictions helps mitigate overfitting in CS inference caused by inaccurate BPMQ predictions. We present Bayesian Active Learning (BAL) to acquire measurements strategically, improving CS parameter inference despite model limitations. |
| Paper | download: TUP11.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 | 08 May 2025 |
| Revised | 24 June 2025 |
| Accepted | 25 June 2025 |
| Issued | 13 October 2025 |
| DOI | 10.18429/JACoW-HIAT2025-TUP11 |
| Pages | 152-155 |
| 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. |