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19–24 Oct 2025
Chateau Fairmont Whistler
America/Vancouver timezone

Development of automatic beam tuning system for high intensity heavy ion beams at RIBF

23 Oct 2025, 14:10
30m
MacDonald AB (Fairmont Chateau Whistler)

MacDonald AB

Fairmont Chateau Whistler

Oral invited talk Machine Learning and AI Machine Learning & AI

Speaker

Takahiro Nishi (RIKEN Nishina Center)

Description

In general, accelerator facilities are controlled by a huge number of parameters. The RIKEN RI Beam Factory (RIBF), a heavy-ion accelerator complex consisting of several cyclotrons and Linacs, is controlled or influenced by more than 600 parameters, including environmental factors. To optimize these parameters more efficiently and accurately, we are attempting to implement Bayesian optimization (BO). Given the importance of space charge effects and beam loading, it is desirable to adjust parameters at high beam intensity, making it crucial to develop an optimization system capable of handling high-intensity heavy ion beams.
We have been working on developing indices suitable for high-intensity beams and exploring methods for optimization while maintaining operational safety. So far we developed a technique that enables the simultaneous measurement of beam transmission and spot shape on the target by tracking charge-converted particles after passing through the target. Additionally, we are investigating the use of line BO with a safety function to ensure safe beam optimization. Currently, we are preparing for simulations and tests using beam line.

Email address takahiro.nishi@riken.jp

Primary author

Takahiro Nishi (RIKEN Nishina Center)

Co-authors

Dr Akito Uchiyama (RIKEN Nishina Center) Dr Hiroki Fujii (RIKEN Nishina Center) Naoki FUKUDA (RIKEN Nishina Center for Accelerator-Based Science) Toshiyuki Sumikama (RIKEN Nishina Center) Yasuyuki Morita (RIKEN) Yohei Shimizu (RIKEN Nishina Center for Accelerator-Based Science)

Presentation materials