Longitudinal RF capture simulation and BPM signal estimation
Autor: | Feng, Yong-Chun, Mao, Rui-Shi, Chen, Yu-Cong, Yin, Yan, Zhang, Xiao-Hu, Ruan, Shuang, Liu, Tong, You, Yao-Yao, Kang, Xin-Cai, Zhao, Tie-Cheng, Xu, Zhi-Guo, Li, Peng, Wang, Yan-Yu, Yuan, You-Jin |
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Rok vydání: | 2016 |
Předmět: | |
Druh dokumentu: | Working Paper |
Popis: | 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. $1M\Omega$, and low input impendence, i.e. $50\Omega$, respectively. Finally, the BPM signal of Heavy Ion Medical Machine (HIMM) is estimated and compared with measured one, and a good agreement is achieved. Comment: 9 pages, 9 figures, submitted to NIMA |
Databáze: | arXiv |
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