Nuclear Science and Techniques

《核技术》(英文版) ISSN 1001-8042 CN 31-1559/TL     2019 Impact factor 1.556

Nuclear Science and Techniques ›› 2018, Vol. 29 ›› Issue (6): 79 doi: 10.1007/s41365-018-0420-2


Bunch-by-bunch beam size measurement during injection at Shanghai Synchrotron Radiation Facility

Han-Jiao Chen 1,2 • Jie Chen 1 • Bo Gao 1,2 • Yong-Bin Leng 1,2   

  1. 1 Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
    2 University of Chinese Academy of Sciences, Beijing 100049, China
  • Contact: Yong-Bin Leng
  • Supported by:

    This work was supported by the National Natural Science Foundation of China (No. 11375255).

Han-Jiao Chen, Jie Chen, Bo Gao, Yong-Bin Leng. Bunch-by-bunch beam size measurement during injection at Shanghai Synchrotron Radiation Facility.Nuclear Science and Techniques, 2018, 29(6): 79     doi: 10.1007/s41365-018-0420-2


Fast beam profile measurement is important in fast beam dynamic behavior investigations. A bunch-bybunch beam size measurement system, which is presently used to measure horizontal profile, has been developed at the Shanghai Synchrotron Radiation Facility (SSRF) and is capable of measuring bunches within a separation of 2 ns. The system is based on a direct-imaging optical system and high-speed photomultiplier array detector. A high-bandwidth linear signal amplifier and acquisition module have also been designed to process bunch-by-bunch multichannel signals from the detector. The software resampling technique and principal component analysis method were developed to obtain the synchronized data and enhance the signal-to-noise ratio. The fast injection of transients was successfully captured and analyzed. Moreover, the bunchby- bunch positions and sizes exhibited strong oscillation after the injection at the horizontal betatron oscillation frequency of the SSRF storage ring, and this demonstrated the bunch-by-bunch measurement capability of our system.

Key words: Beam size measurement, Bunch-by-bunch, Injection process, Principal component analysis