Study on n/γ Discrimination Method Based on BP Neural Network

The commonly used scintillator detectors are sensitive to neutrons and gamma rays, so it is necessary to eliminate or weaken the influence of gamma ray in neutron detection technology. BP neural network can realize the function of classifier. In this paper, BP neural network combining pulse shape discrimination technology was applied to particle discrimination in neutron and gamma ray mixed field. The purpose of memorizing and classifying test samples was achieved by training BP neural network. The accuracy of BP neural network in the discrimination of n/γ pulse waveform was verified and compared with the discrimination result of charge comparison method and frequency gradient analysis method. The results show that the discrimination method based on BP neural network can not only provide effective screening for mixed radiation field, but also improve the discrimination time compared with charge comparison method and frequency gradient analysis method.