宇宙射线缪子核材料快速检测算法研究  

Research on Fast Detection Algorithm for Nuclear Material Using Cosmic Ray Muon

作　　者：钱祎剑 张立军[1] 陈灵新 王冠鹰 QIAN Yijian;ZHANG Lijun;CHEN Lingxin;WANG Guanying(Institute of Microelectronics,Chinese Academy of Sciences,Beijing 100029,China;School of Microelectronics,University of Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]中国科学院微电子研究所,北京100029 [2]中国科学院大学微电子学院,北京100190

出　　处：《原子能科学技术》2021年第12期2339-2345,共7页Atomic Energy Science and Technology

摘　　要：根据宇宙射线缪子库伦散射角进行核材料快速检测具有重要意义。本文利用Geant4获取的U、Pb、Fe的缪子库伦散射角数据集,分析缪子散射探测数据的分布特征。使用支持向量机测试了缪子散射探测数据的概率分布函数参数和峭度对不同材料分类的性能,提出基于分布特征的宇宙射线缪子核材料快速检测算法。结果表明,该算法仅用数量为10 000的缪子散射探测数据,能实现对相同厚度的U、Pb、Fe的分类,分类准确率达到98.9%以上。The fast detection for nuclear materials according to the Coulomb scattering angle of the cosmic ray Muon is of great significance. Using the Muon scattering angle simulation data set of U, Pb and Fe obtained by Geant4, the distribution characteristics of Muon scattering detection data were analyzed. Testing the performance of the probability distribution function parameters and kurtosis of the Muon scattering detection data to classify different materials by support vector machine, and a fast detection algorithm based on distribution characteristics for nuclear material using cosmic ray Muon was proposed. The results show that the algorithm can only use 10 000 Muon scattering detection data to classify U, Pb, and Fe with the same thickness, and the classification accuracy rate is over 98.9%.

关 键 词：宇宙射线缪子 核材料 快速检测 分布特征 峭度 支持向量机 

分 类 号：TL99[核科学技术—核技术及应用]