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Purpose <p>SSDROC is a dedicated readout circuit chip designed for silicon microstrip sensors. The system we developed using this application-specific integrated circuit (ASIC) is capable of performing single-photon counting and energy spectrum measurements, intended for use in diffraction experiments at high-energy photon sources (HEPS).</p> Methods <p>A calibration algorithm based on the energy spectrum is proposed. The algorithm employs the energy spectrum for trimming and performs a fine scan after quantifying the relationship between the energy spectrum channel and the global threshold parameter. The range of the global threshold parameter is then narrowed through energy spectrum analysis to improve threshold consistency, followed by further testing on the detector.</p> Results <p>The entire calibration process is time-efficient. After calibration, the threshold distribution across channels was significantly reduced from 46 mV to 6 mV. Test results confirm the method’s reliability and demonstrate excellent linearity in each channel.</p> Conclusion <p>The proposed energy spectrum-based calibration algorithm effectively and efficiently improves the response consistency across multiple channels of the SSDROC chip. The results validate the reliability of the method and its effectiveness in enhancing detector performance.</p>

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A calibration method based on energy spectrum measurements applied to single-photon counting silicon microstrip detector

  • 期刊论文

  • 发表日期：

    2025年12月24日

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  • Bo Zhang,
  • Hangxu Li,
  • Fengjiao Luo,
  • Yangfan Zhou,
  • Bo Zheng,
  • Peng Liu,
  • Zhenjie Li,
  • Yuanhao Jiang,
  • Weiran Ma

摘要

Purpose

SSDROC is a dedicated readout circuit chip designed for silicon microstrip sensors. The system we developed using this application-specific integrated circuit (ASIC) is capable of performing single-photon counting and energy spectrum measurements, intended for use in diffraction experiments at high-energy photon sources (HEPS).

Methods

A calibration algorithm based on the energy spectrum is proposed. The algorithm employs the energy spectrum for trimming and performs a fine scan after quantifying the relationship between the energy spectrum channel and the global threshold parameter. The range of the global threshold parameter is then narrowed through energy spectrum analysis to improve threshold consistency, followed by further testing on the detector.

Results

The entire calibration process is time-efficient. After calibration, the threshold distribution across channels was significantly reduced from 46 mV to 6 mV. Test results confirm the method’s reliability and demonstrate excellent linearity in each channel.

Conclusion

The proposed energy spectrum-based calibration algorithm effectively and efficiently improves the response consistency across multiple channels of the SSDROC chip. The results validate the reliability of the method and its effectiveness in enhancing detector performance.