Chinese Physics C > 2014, Vol. 38 > Issue(7): 077004 DOI: 10.1088/1674-1137/38/7/077004

Performance evaluation of BPM system in SSRF using PCA method

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Abstract：
The beam position monitor (BPM) system is of most importance in a light source. The capability of the BPM depends on the resolution of the system. The traditional standard deviation on the raw data method merely gives the upper limit of the resolution. Principal component analysis (PCA) had been introduced in the accelerator physics and it could be used to get rid of the actual signals. Beam related information was extracted before the evaluation of the BPM performance. A series of studies had been made in the Shanghai Synchrotron Radiation Facility (SSRF) and PCA was proved to be an effective and robust method in the performance evaluations of our BPM system.

References

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CHEN Zhi-Chu, LENG Yong-Bin, YAN Ying-Bing, YUAN Ren-Xian and LAI Long-Wei. Performance evaluation of BPM system in SSRF using PCA method[J]. Chinese Physics C, 2014, 38(7): 077004. doi: 10.1088/1674-1137/38/7/077004

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Received: 2013-08-30
Revised: 1900-01-01

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通讯作者:陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

Performance evaluation of BPM system in SSRF using PCA method

Corresponding author:CHEN Zhi-Chu,

Corresponding author:LENG Yong-Bin,

Received Date:2013-08-30

Accepted Date:1900-01-01

Available Online:2014-07-05

Abstract:The beam position monitor (BPM) system is of most importance in a light source. The capability of the BPM depends on the resolution of the system. The traditional standard deviation on the raw data method merely gives the upper limit of the resolution. Principal component analysis (PCA) had been introduced in the accelerator physics and it could be used to get rid of the actual signals. Beam related information was extracted before the evaluation of the BPM performance. A series of studies had been made in the Shanghai Synchrotron Radiation Facility (SSRF) and PCA was proved to be an effective and robust method in the performance evaluations of our BPM system.

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Performance evaluation of BPM system in SSRF using PCA method

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