Speaker
Description
Beam Position Monitors (BPMs) are essential for the commissioning and stable operation of fourth-generation synchrotron light sources such as the High Energy Photon Source (HEPS). Building on the theoretical beam–electrode response of circular‑section button BPMs, we extract a set of channel‑specific coefficients from in‑situ BPM data. These coefficients remain nearly constant under varying beam positions, making them sensitive indicators of the BPM system’s health. We have developed an online performance evaluation framework that monitors these coefficients for each BPM channel, enabling the detection of gain errors and slow drifts through statistical outlier analysis and continuous trend tracking. Initial implementation in the HEPS beam measurement system has demonstrated rapid and accurate identification of abnormal BPM behavior. To further enhance diagnostic capability, machine‑learning models for anomaly detection are under active development.
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