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Discrimination of neutron and gamma ray using the ladder gradient method and analysis of filter adaptability

Nuclear Science and Techniques 2022年第12期33卷 105-115页

作者： Hao-Ran Liu Ming-Zhe Liu Yu-Long Xiao Peng Li Zhuo Zuo Yi-Han Zhan State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of TechnologyChengdu 610059China The Engineering&Technical College of Chengdu University of Technology Leshan 614000China Southwestern Institute of Physics Chengdu 610225China

This study proposes a ladder gradient method for neutron and gamma-ray discrimination.The proposed method exhibited state-of-the-art performance with low time consumption,which incorporates two parts:information extraction and discrimination factor calculation.A quasi-continuous spiking cortical model was proposed to extract information from the radiation pulse signals,thus generating an ignition map corresponding to each pulse signal.The ignition map can be used to calculate the discrimination factor.A ladder gradient calculation was introduced to obtain a discrimination factor with low computational complexity.The proposed method was compared with five other discrimination methods to evaluate its robustness and efficacy.Furthermore,the filter adaptability of the pulse-coupled neural network and ladder gradient methods was investigated.Possible reasons for adapting the conditions with different discrimination methods and filters were analyzed.Experiments were conducted in 20 filtering situations with 11 types of filters to determine the most suitable filters for discrimination methods.The experimental results revealed that the three most adaptive filters of the pulse-coupled neural networks and ladder gradient methods are the wavelet,elliptic,and median filters and the elliptic,moving average,and wavelet filters,respectively.

关键词： n-c Discrimination Pulse-shape discrimination ladder gradient Pulse-coupled neural network Filtering Filter adaptability

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