IPAC'24 - 15th International Particle Accelerator Conference

Optimizing non-linear kicker injection parameters using machine learning

THPR35

23 May 2024, 16:00

2h

Rock 'n Roll (MCC Exhibit Hall A)

Poster Presentation MC5.D01 Beam Optics Lattices, Correction Schemes, Transport Thursday Poster Session

Speaker

Meghan McAteer (Helmholtz-Zentrum Berlin für Materialien und Energie)

Description

Synchrotron light source storage rings aim to maintain a continuous beam current without observable beam motion during injection. One element that paves the way to this target is the non-linear kicker (NLK). The field distribution it generates poses challenges for optimizing the topping-up operation. Within this study, a reinforcement learning agent was developed and trained to optimize the NLK operation parameters. We present the models employed, the optimization process, and the achieved results.