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Bayesian optimization for ion beam centroid correction
E Ghelfi1,2, A Katrusiak1,3, R Baartman1,4
1TRIUMF, Vancouver, British Columbia V6T 2A3, Canada.
The Review of Scientific Instruments
|February 11, 2025
Summary
The Bayesian Optimization for Ion Steering (BOIS) method automates beam steering at TRIUMF ISAC. This new technique achieves results comparable to human operators, ensuring reliable experimental beam delivery.
Area of Science:
- Particle accelerator physics
- Computational physics
Background:
- The TRIUMF ISAC facility requires precise control of ion beams for experiments.
- Manual beam steering is operator-dependent and can be time-consuming.
Purpose of the Study:
- To develop and implement an automated beam steering method for the TRIUMF ISAC facility.
- To reduce reliance on human operators and improve the efficiency of beam delivery.
Main Methods:
- The Bayesian Optimization for Ion Steering (BOIS) method was developed as part of the TRIUMF automatic beam tuning program.
- BOIS controls steerers for corrective centroid steering after theoretical transverse optics are established.
- Proof-of-concept solutions, scaleBOIS and boundBOIS, were explored for path selection with minimal steering.
Main Results:
- BOIS was successfully tested on low energy and post-accelerated beams at the ISAC facility.
- The automated method achieved steering results comparable to those of experienced human operators.
- The system demonstrated robustness and repeatability in beam steering operations.
Conclusions:
- Automated steering using BOIS reduces operational overhead and reliance on specialized expertise.
- The method ensures reliable beam delivery, directly supporting TRIUMF's scientific mission.
- BOIS offers a scalable and deployable solution for particle accelerator beam tuning.
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