In this paper, the theoretical aspects behind longitudinal RF capture are reviewed and the capture process is simulated via a program based on this theory. Four kinds of cases with different initial distribution and capture curve are considered, i.e. uniform distribution with adiabatic capture, uniform distribution with non-adiabatic capture, Gaussian distribution with adiabatic capture and Gaussian distribution with non-adiabatic capture. The simulation results are compared each other and discussed, and Gaussian distribution with adiabatic capture is demonstrated having a higher capture efficiency and leading to a shorter bunch length. In addition, the BPM induced signal is simulated with high input impendence, i.e. 1MΩ, and low input impendence, i.e. 50Ω, respectively. Finally, the BPM signal of Heavy Ion Medical Machine (HIMM) is estimated and compared with measured one, and a good agreement is achieved.
@article{arxiv.1611.01721,
title = {Longitudinal RF capture simulation and BPM signal estimation},
author = {Yong-Chun Feng and Rui-Shi Mao and Yu-Cong Chen and Yan Yin and Xiao-Hu Zhang and Shuang Ruan and Tong Liu and Yao-Yao You and Xin-Cai Kang and Tie-Cheng Zhao and Zhi-Guo Xu and Peng Li and Yan-Yu Wang and You-Jin Yuan},
journal= {arXiv preprint arXiv:1611.01721},
year = {2016}
}