The Joint Accelerator Conferences Website (JACoW) is an international collaboration that publishes the proceedings of accelerator conferences held around the world.
TY - CONF AU - Kim, H.S. AU - Chai, J.-S. AU - Gad, Kh.M. AU - Ghergherehchi, M. AU - Ha, D.H. AU - Lee, J.C. AU - Namgoong, H. ED - Conradie, Lowry ED - De Villiers, John Garrett ED - Schaa, Volker RW TI - Reinforcement Learning Based RF Control System for Accelerator Mass Spectrometry J2 - Proc. of Cyclotrons2019, Cape Town, South Africa, 23-27 September 2019 CY - Cape Town, South Africa T2 - International Conference on Cyclotrons and their Applications T3 - 22 LA - english AB - Accelerator Mass Spectrometry (AMS) is a powerful method for separating rare isotopes and electrostatic type tandem accelerators have been widely used. At SungKyunKwan University, we are developing a AMS that can be used in a small space with higher resolution based on cyclotron. In contrast to the cyclotron used in conventional PET or proton therapy, the cyclotron-based AMS is characterized by high turn number and low dee voltage for high resolution. It is designed to accelerate not only 14C but also 13C or 12C. The AMS cyclotron RF control model has nonlinear characteristics due to the variable beam loading effect due to the acceleration of various particles and injected sample amounts. In this work, we proposed an AMS control system based on reinforcement learning. The proposed reinforcement learning finds the target control value in response to the environment through the learning process. We have designed a reinforcement learning based controller with RF system as an environment and verified the reinforcement learning based controller designed through the modeled cavity. PB - JACoW Publishing CP - Geneva, Switzerland SP - 227 EP - 229 KW - controls KW - cyclotron KW - resonance KW - network KW - cavity DA - 2020/06 PY - 2020 SN - 978-3-95450-205-9 DO - doi:10.18429/JACoW-Cyclotrons2019-TUP030 UR - http://jacow.org/cyclotrons2019/papers/tup030.pdf ER -