发现了液体闪烁体探测器在分别与中子和γ射线作用时输出脉冲的功率谱梯度存在较大差异这一特征，由此提出一种基于脉冲信号的频域特征参数来甄别中子和γ射线的方法---功率谱梯度分析（SGA ）法。本文论述了SGA法的基本原理及其可行性，并通过伴随粒子中子飞行实验验证了SGA法n-γ甄别结果的正确性。研究了SGA法在采样率从5 G/s逐步递减到250 M/s下甄别性能的变化。结果表明，与基于时域特征的n-γ甄别方法相比，SGA法对噪声较不敏感，抗干扰能力强，甄别性能更为稳定且计算量小。%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 feasi-bility 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 discrimina-tion performance of SGA was evaluated under different conditions of sampling rates ran-ging 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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