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FPGA-based α/γ pulse shape discrimination for BaF2 detector using 2-GSPS fast waveform sampling

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Abstract

Four FPGA-based α/γ pulse shape discrimination algorithms for BaF2 detector are investigated and compared in this paper. A 2-GSPS fast waveform sampling board based on DRS4 chip is employed to sample the pulses. The test results with a 22Na γ-source and the natural radioactivity of BaF2 show good discrimination performance of the algorithms, with false rates around 1%. Small logical resource occupancy and short dead time are achieved. About 4400 slices are used in FPGA for pulse sampling and real-time discrimination altogether.

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Acknowledgements

The authors would thank Prof. Stefan Ritt and Dr. Jinhong Wang for their help.

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Authors and Affiliations

  1. State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, 230026, China

    Chen-Fei Yang, Chang-Qing Feng, Shu-Bin Liu & Qi An

  2. Department of Modern Physics, University of Science and Technology of China, Hefei, 230026, China

    Chen-Fei Yang, Chang-Qing Feng, Shu-Bin Liu & Qi An

Authors
  1. Chen-Fei Yang
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  2. Chang-Qing Feng
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  3. Shu-Bin Liu
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  4. Qi An
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Corresponding author

Correspondence to Chang-Qing Feng.

Additional information

This work was supported by the National Natural Science Foundation of China (No. 11205154).

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Yang, CF., Feng, CQ., Liu, SB. et al. FPGA-based α/γ pulse shape discrimination for BaF2 detector using 2-GSPS fast waveform sampling. NUCL SCI TECH 28, 19 (2017). https://doi.org/10.1007/s41365-016-0173-8

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  • DOI: https://doi.org/10.1007/s41365-016-0173-8

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