Author: Jiang, R.
Paper Title Page
MOPP12 Development of an X-Band CBPM Prototype for SHINE 56
 
  • S.S. Cao
    SARI-CAS, Pudong, Shanghai, People’s Republic of China
  • R. Jiang, Y.B. Leng, R.X. Yuan
    SSRF, Shanghai, People’s Republic of China
 
  SHINE is a newly proposed high-repetition-rate X-ray FEL facility and will be used to generate brilliant X-rays between 0.4 and 0.25 keV. To guarantee the high performance of FEL light pulses, it put a strict requirement on the monitoring of electron bunch trajectory. The position resolution of each bunch at the undulator section is required to be better than 200 nm at a bunch charge of 100 pC. The cavity beam position monitor (CBPM) is widely used in FEL facilities for its unique high resolution and high sensitivity. The output signals of an ideal pillbox cavity are proportional to the resonant frequency. Compared with the C-band cavity, the X-band cavity is expected to have a higher signal-to-noise ratio which is especially helpful at low bunch charge. Therefore, an X-band CBPM prototype is developed for SHINE. This paper will focus on the difficulties encountered during the design and production process and the solutions.  
poster icon Poster MOPP12 [1.221 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2021-MOPP12  
About • paper received ※ 08 September 2021       paper accepted ※ 17 September 2021       issue date ※ 10 October 2021  
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MOPP21 Research on Resolution of Orbit Based on Clustering Analysis and BP Neural Network in SSRF 88
 
  • R. Jiang, Y.B. Leng, N. Zhang
    SSRF, Shanghai, People’s Republic of China
  • Y.M. Deng
    SINAP, Shanghai, People’s Republic of China
 
  Keeping the beam current’s normal motion is an important mission for Shanghai Synchrotron Radiation Facility (SSRF). So the Orbit (rms)x/y is an main parameter for SSRF’s running. However, the orbital resolution has been constrained by the accuracy of acquired data. To eliminate BPM’s failure causing the inaccurate orbital resolution, the work based on clustering analysis and BP neural network to removed the abnormal BPM and recalculate the resolution of orbit. Data came from the machine research. The analysis results showed that the rms value of orbit is 100.75±6.87 um (x direction) and 14.9±0.6 um (y direction) using all BPM’s data but the recalculate value is 98.03±6 um (x direction) and 2.6±0.4 um (y direction) when eliminate the data of faulty BPM. The analysis result indicated that the method can optimize the resolution of orbit and next work is further to evaluate the orbital resolution with more operation data.  
poster icon Poster MOPP21 [0.584 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2021-MOPP21  
About • paper received ※ 08 September 2021       paper accepted ※ 17 September 2021       issue date ※ 26 October 2021  
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