Chen-Fei Yang, Chang-Qing Feng, Shu-Bin Liu, et al. FPGA-based α/γ pulse shape discrimination for BaF2 detector using 2 Gsps fast waveform sampling. [J]. Nuclear Science and Techniques 28(2):19(2017)
DOI:
Chen-Fei Yang, Chang-Qing Feng, Shu-Bin Liu, et al. FPGA-based α/γ pulse shape discrimination for BaF2 detector using 2 Gsps fast waveform sampling. [J]. Nuclear Science and Techniques 28(2):19(2017) DOI: 10.1007/s41365-016-0173-8.
FPGA-based α/γ pulse shape discrimination for BaF2 detector using 2 Gsps fast waveform sampling
摘要
Abstract
Four FPGA-based α/γ pulse shape discrimination algorithms for BaF ,2, 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 ,22,Na γ-source and the natural radioactivity of BaF ,2, 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.
关键词
Keywords
BaF2Pulse extractionα/γ discriminationDRS4FPGA
references
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