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beam dynamics 1machine learning 1particle accelerator optimization 1reinforcement learning 1rf control 1

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1 paper

physics.acc-ph2026

Reinforcement Learning applied to Optimization of LHC beams in the CERN Proton Synchrotron

Joel Axel Wulff, Alexandre Lasheen

The paper describes using a convolutional neural network and reinforcement‑learning agents to automatically optimize the longitudinal triple‑splitting of proton beams in CERN's Pro…