Application of Stochastic Control Algorithms for the Improvement of the Electron Injection Efficiency of BESSY II

Fuente: arXiv
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Main Author: Schuett, Alexander
Format: Preprint
Published: 2024
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author Schuett, Alexander
author_facet Schuett, Alexander
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2405_08824
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Application of Stochastic Control Algorithms for the Improvement of the Electron Injection Efficiency of BESSY II
Schuett, Alexander
Accelerator Physics
Optimization and Control
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.
title Application of Stochastic Control Algorithms for the Improvement of the Electron Injection Efficiency of BESSY II
topic Accelerator Physics
Optimization and Control
url https://arxiv.org/abs/2405.08824