Speaker
Alexander Schütt
(Munich University of Technology)
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.
| Region represented | Europe |
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Primary author
Alexander Schütt
(Munich University of Technology)
Co-authors
Christoph Knochenhauer
(Technical University of Munich)
Meghan McAteer
(Helmholtz-Zentrum Berlin für Materialien und Energie GmbH)
Pierre Schnizer
(Helmholtz-Zentrum Berlin für Materialien und Energie GmbH)
