Operational Accelerator Tuning via Model-Coupled Optics and Bayesian Steering
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912922789216256 |
|---|---|
| author | Hassan, O. Shelbaya, O. Jung, P. M. Kester, O. Planche, T. Fedorko, W. |
| author_facet | Hassan, O. Shelbaya, O. Jung, P. M. Kester, O. Planche, T. Fedorko, W. |
| contents | We present an on-line tuning strategy for the ISAC post-accelerator that pre-sets machine optics with a digital twin and then performs Bayesian optimization for steering under online operation with beam. The model computes end-to-end tunes in seconds and interfaces with the control system under device bounds, slew-rate limits, and loss interlocks. We report three experimental case studies demonstrating that decoupling optics from steering yields faster and more reliable convergence than a fully Bayesian optics-plus-steering baseline under identical conditions. Across these cases, iterations to high transmission tunes are reduced by a factor of 4-6, with final average transmissions in the mid- to high-90% range. By factorizing optics from steering, the dimensionality of the parameter space is reduced, convergence becomes more predictable, and operational safeguards are easier to enforce. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_20233 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Operational Accelerator Tuning via Model-Coupled Optics and Bayesian Steering Hassan, O. Shelbaya, O. Jung, P. M. Kester, O. Planche, T. Fedorko, W. Accelerator Physics Applied Physics We present an on-line tuning strategy for the ISAC post-accelerator that pre-sets machine optics with a digital twin and then performs Bayesian optimization for steering under online operation with beam. The model computes end-to-end tunes in seconds and interfaces with the control system under device bounds, slew-rate limits, and loss interlocks. We report three experimental case studies demonstrating that decoupling optics from steering yields faster and more reliable convergence than a fully Bayesian optics-plus-steering baseline under identical conditions. Across these cases, iterations to high transmission tunes are reduced by a factor of 4-6, with final average transmissions in the mid- to high-90% range. By factorizing optics from steering, the dimensionality of the parameter space is reduced, convergence becomes more predictable, and operational safeguards are easier to enforce. |
| title | Operational Accelerator Tuning via Model-Coupled Optics and Bayesian Steering |
| topic | Accelerator Physics Applied Physics |
| url | https://arxiv.org/abs/2602.20233 |