A5099282560- Particle Accelerators and Free-Electron Lasers
- Particle Detector Development and Performance
- Particle accelerators and beam dynamics
RWTH Aachen University
2025
GSI Helmholtz Centre for Heavy Ion Research
2025
Optimizing the injection process in particle accelerators is crucial for enhancing beam quality and operational efficiency. This paper presents a framework utilizing reinforcement learning (RL) to optimize at accelerator facilities. By framing optimization challenge as an RL problem, we developed agent capable of dynamically aligning beam’s transverse space with desired targets. Our methodology leverages soft actor-critic algorithm, enhanced domain randomization dense neural networks, train...
Optimizing the injection process in particle accelerators is crucial for enhancing beam quality and operational efficiency. This paper presents a framework utilizing Reinforcement Learning (RL) to optimize at accelerator facilities. By framing optimization challenge as an RL problem, we developed agent capable of dynamically aligning beam's transverse space with desired targets. Our methodology leverages Soft Actor-Critic algorithm, enhanced domain randomization dense neural networks, train...