Performance Evaluation of BPM System in SSRF Using PCA Method

TL;DR

This paper demonstrates that PCA is an effective method for evaluating the performance of BPM systems in SSRF by extracting beam-related information and improving resolution assessment.

Contribution

The study introduces PCA as a novel approach for BPM performance evaluation, surpassing traditional methods in accuracy and robustness.

Findings

PCA effectively extracts beam information from BPM data.

PCA provides a more accurate resolution assessment than standard deviation.

PCA is validated as a robust evaluation method at SSRF.

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 informations were extracted before the evaluation of the BPM performance. A series of studies had been made in Shanghai Synchrotron Radiation Facility (SSRF) and PCA was proved as an effective and robust method in the performance evaluations of our BPM system.