LUO Xiao-liang, LIU Guo-fu, YANG Jun, WANG Yue-ke. Research on n-γ Discrimination Method Based on Spectrum Gradient Analysis of Signals[J]. Atomic Energy Science and Technology, 2013, 47(8): 1405-1410. DOI: 10.7538/yzk.2013.47.08.1405
Citation: LUO Xiao-liang, LIU Guo-fu, YANG Jun, WANG Yue-ke. Research on n-γ Discrimination Method Based on Spectrum Gradient Analysis of Signals[J]. Atomic Energy Science and Technology, 2013, 47(8): 1405-1410. DOI: 10.7538/yzk.2013.47.08.1405

Research on n-γ Discrimination Method Based on Spectrum Gradient Analysis of Signals

  • Having discovered that there are distinct differences between the spectrum gradient of the output neutron and γ-ray signal from liquid scintillator detectors, this paper presented a n-γ discrimination method called spectrum gradient analysis (SGA) based on frequency-domain features of the pulse signals. The basic principle and feasibility of SGA method were discussed and the validity of n-γ discrimination results of SGA was verified by the associated particle neutron flight experiment. The discrimination performance of SGA was evaluated under different conditions of sampling rates ranging from 5 G/s to 250 M/s. The results show that SGA method exhibits insensitivity to noise, strong anti-interference ability, stable discrimination performance and lower -amount of calculation in contrast with time-domain n-γ discrimination methods.
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