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MOOC03 The Removal of Interference Noise of ICT using the PCA Method FEL, SRF, experiment, electron 22
 
  • J. Chen, Y.B. Leng, L.Y. Yu
    SINAP, Shanghai, People’s Republic of China
  • N. Zhang
    SSRF, Shanghai, People’s Republic of China
 
  The measurement of beam charge is a fundamental re-quirement to all particle accelerators facility. Shanghai soft X-ray free-electron laser (SXFEL) started construc-tion in 2015 and is now in the commission phase. Al-though integrated current transformer (ICT) were installed in the entire FEL for the measurement of the absolute beam charge, the accurate measurement becomes difficult in the injector and the main accelerator section due to the noise interference from external factors such as klystron modulator. The evaluation of the source of noise signals and the procession of noise reduction using the principal component analysis (PCA) are proposed in this paper. Experiment results show that PCA method can effectively remove the interference of lower frequency noise from the klystron modulator and it can also improve the resolution of the ICT system. Detailed experiment results and data analysis will be mentioned as well.  
slides icon Slides MOOC03 [2.520 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2018-MOOC03  
About • paper received ※ 05 September 2018       paper accepted ※ 12 September 2018       issue date ※ 29 January 2019  
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