Conveners
Invited Talks: RL Applied to Particle Accelerators
- Andrea Santamaria Garcia (University of Liverpool and Cockcroft Institute)
Achieving reliable, fast, and reproducible tuning of high-power cyclotrons remains a key operational challenge as accelerators move toward increasingly complex beam configurations and higher intensities. To address this, we conducted a two-week experimental campaign at the PSI Injector~2 cyclotron to evaluate the feasibility of applying reinforcement learning (RL) for real-time beam tuning on...
This contribution will be based on the paper "Batch spacing optimization by reinforcement learning" (DOI: https://doi.org/10.1103/g9wr-197z):
Beams designated for the LHC are injected into the SPS in multiple batches. Given the tight spacing of 200 ns between these batches, the injection kickers have to be precisely synchronized with the injected beam to minimize injection oscillations. Due...
