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

doi:10.1007/s41365-016-0173-8

Nuclear Science and Techniques ›› 2017, Vol. 28 ›› Issue (2): 19 doi: 10.1007/s41365-016-0173-8

• NUCLEAR ELECTRONICS AND INSTRUMENTATION • Previous Articles Next Articles

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

Chen-Fei Yang^1,2， Chang-Qing Feng ^1,2， Shu-Bin Liu^1,2， Qi An^1,2

¹State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
² Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China

Contact: Chang-Qing Feng E-mail:fengcq@ustc.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (No. 11205154).

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Chen-Fei Yang, Chang-Qing Feng, Shu-Bin Liu, Qi An. FPGA-based α/γ pulse shape discrimination for BaF2 detector using 2-GSPS fast waveform sampling.Nuclear Science and Techniques, 2017, 28(2): 19 doi: 10.1007/s41365-016-0173-8

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Abstract

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 BaF₂show 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.

Key words: BaF₂, Pulse extraction α/γ, Discrimination, DRS4, FPGA

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

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