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January 22, 2026JACOW0 citationsOpen Access

Optimization and upgrade of the BPM electronics system for CSNS-II RCS

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RQRuiyang QiuRYRenjun YangMRMuhammad Abdul Rehman

Key Points

  • The research aims to upgrade the electronics system for Beam Position Monitors in the CSNS-II RCS to support higher power levels.
  • Analyzed performance experiences from the J-PARC MR power upgrade.
  • Upgraded passive resistive dividers to a switchable attenuator with proportional voltage division.
  • Implemented impedance matching techniques for high input voltages.
  • Developed digital processing on a MicroTCA.4-based AMC board.
  • Transplanted algorithms for real-time beam position calculations.
  • Signal intensity of BPMs is expected to rise tenfold with the RCS power increase.
  • The upgrade reduces noise and maintains high linearity in signal processing.
  • The new system ensures compatibility with ADC dynamic range and minimizes reflections.

Abstract

As the China Spallation Neutron Source (CSNS) Phase II project increases the Rapid Cycling Synchrotron (RCS) power to 500 kW, the signal intensity of Beam Position Monitors (BPMs) is expected to rise tenfold, necessitating a comprehensive upgrade of the electronics system to meet high-power operational requirements. Drawing on the experience of the J-PARC Main Ring (MR) 1.3 MW power upgrade, CSNS optimized the analog front-end using a MicroTCA-based RTM board. The initial four-stage passive resistive divider was upgraded to a switchable attenuator combined with proportional voltage division, alongside impedance matching techniques, ensuring stable signal attenuation under high input voltages, minimal reflections, and compatibility with the Analog-to-Digital Converter (ADC) dynamic range. The digital processing is implemented on a self-developed MicroTCA.4-based AMC board, utilizing the Xilinx Zynq-7045 SoC with 8 channels of 16-bit ADC (125 MSPS). The system has successfully transplanted algorithms, supports real-time beam position calculations, and publishes position signals via EPICS. Tests demonstrate low noise, high linearity, and performance.

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Cite This Study

Qiu et al. (2026) studied this question.

synapsesocial.com/papers/6971bdcf642b1836717e268ahttps://doi.org/10.18429/jacow-ibic2025-wepmo40
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