基于频率比较分析的中子/伽马实时甄别方法

Neutron/Gamma Real-time Discrimination Based on Frequency Comparison Analysis

  • 摘要: 目前有关中子/伽马甄别的方法在一些较极端的环境如空间粒子能谱测量中,由于测量时间长、环境复杂等原因,难以满足需要。本文研究一种基于频率比较分析的中子/伽马甄别方法,对该方法模拟电路的实现方式进行研究,并将其与频率梯度分析法进行了对比。结果表明,该方法拥有更好的甄别性能,既可通过数字电路实现粒子实时甄别,也可通过简单的带通滤波器实现实时甄别,有望应用于空间粒子测量以及探测系统小型化设计中。

     

    Abstract: In some extreme conditions such as the particle spectrum measurements in the space, the existing methods for neutron/gamma (n/γ) discrimination can not satisfy the requirements because of the long measurement time and the complicated conditions. A method for n/γ discrimination based on frequency comparison analysis (FCA) was introduced in this paper. The implementation mode of the analog circuits of FCA was also studied. The characteristics of FCA were studied by theoretical and experimental method. Compared with frequency gradient analysis (FGA), FCA can get better n/γ discrimination. The method can implement real-time discrimination by digital circuits as well as by simple band-pass filters. It shows great prospects for space radiation measurements and miniaturization of detection system.

     

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