2nd collaboration workshop on Reinforcement Learning for Autonomous Accelerators (RL4AA'24)

Optimising non-linear Injection using Reinforcement Learning

Feb 7, 2024, 9:00 AM

20m

Blue lecture hall (Universität Salzburg (Paris-Lodron-Universität))

Student Talk Student Session

Speaker

Alexander Schütt (Helmholtz-Zentrum Berlin)

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 optimising the topping-up operation.

Within this study, a reinforcement learning agent was developed and trained to optimise the NLK operation parameters. We present the models employed, the optimisation process, and the achieved results.

Presentation materials

schuett_rl4aa.pdf