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Background <p>The high energy photon source (HEPS) is a synchrotron radiation source with an ultrahigh brightness and under construction in China. Its accelerator system consists of a 6-GeV storage ring, a full energy booster, a 500&#xa0;MeV LINAC and three transport lines. Bunch charge measurement is essential for both commissioning and beam optimization. This paper focus on numerical method applied to bunch charge measurement to achieve high capability to resolve minute charge variations.</p> Methods <p>This paper systematically investigates the influence of key parameters on signal reconstruction fidelity. Multiple sinc interpolation method—varying the interpolation factor N and employing different window functions are applied to reconstruct the signal. The core method involves a controlled phase-scanning experiment, where the down-sampling initial phase is also present. Reconstruction accuracy is evaluated by calculating the relative error of the numerical integral within a fixed time window compared to the original high-density signal. The optimized reconstruction protocol is applied to beam current data, demonstrating its practical utility in charge measurement.</p> Results <p>Simulation results demonstrate that the optimized method significantly enhances the performance of the ICT signal measurement system. Compared to conventional integration, this approach reduces random measurement error. The initial sampling phase is identified as the dominant factor influencing reconstruction accuracy, while the interpolation factor <i>N</i> plays a secondary role once a sufficient density threshold is exceeded.</p> Conclusions <p>Experimental results demonstrate that the proposed method improves waveform reconstruction smoothness and charge integration precision, compensating for hardware constraints. The correlation established between sampling phase and reconstruction accuracy offers potential avenues for system optimization. This work provides a foundation for subsequent research for further enhancing system performance.</p>

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Signal reconstruction method applied in HEPS beam charge measurement

  • 期刊论文

  • 发表日期：

    2026年6月3日

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  • Zhao Ying,
  • Du Yaoyao,
  • Sui Yanfeng,
  • Xu Taoguang,
  • He Jun,
  • Wang Lin,
  • Cao Jianshe

摘要

Background

The high energy photon source (HEPS) is a synchrotron radiation source with an ultrahigh brightness and under construction in China. Its accelerator system consists of a 6-GeV storage ring, a full energy booster, a 500 MeV LINAC and three transport lines. Bunch charge measurement is essential for both commissioning and beam optimization. This paper focus on numerical method applied to bunch charge measurement to achieve high capability to resolve minute charge variations.

Methods

This paper systematically investigates the influence of key parameters on signal reconstruction fidelity. Multiple sinc interpolation method—varying the interpolation factor N and employing different window functions are applied to reconstruct the signal. The core method involves a controlled phase-scanning experiment, where the down-sampling initial phase is also present. Reconstruction accuracy is evaluated by calculating the relative error of the numerical integral within a fixed time window compared to the original high-density signal. The optimized reconstruction protocol is applied to beam current data, demonstrating its practical utility in charge measurement.

Results

Simulation results demonstrate that the optimized method significantly enhances the performance of the ICT signal measurement system. Compared to conventional integration, this approach reduces random measurement error. The initial sampling phase is identified as the dominant factor influencing reconstruction accuracy, while the interpolation factor N plays a secondary role once a sufficient density threshold is exceeded.

Conclusions

Experimental results demonstrate that the proposed method improves waveform reconstruction smoothness and charge integration precision, compensating for hardware constraints. The correlation established between sampling phase and reconstruction accuracy offers potential avenues for system optimization. This work provides a foundation for subsequent research for further enhancing system performance.