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基于SVM的放射源快速定位技术研究 被引量:1

Fast localization of radiation sources based on Support Vector Machine
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摘要 针对丢失放射源快速定位需求,设计了一套NaI(Tl)探测阵列装置,基于阵列探测器间的阴影效应,通过蒙特卡罗模拟软件,获得计数率与入射射线角度之间的变化响应曲线。利用支持向量机(Support Vector Machine,SVM)方法建立探测阵列计数-入射射线角度预测模型。搭建放射源定位物理实验平台,开展多种条件下的探测阵列-放射源角度响应实验与位置响应实验,并使用计数率-角度响应模型对放射源定位,测试结果表明:^(137)Cs点源角度预测平均最大偏差为9.21°,最小偏差为1.77°,该方法可实现对放射源的快速、精确定位。 [Background]Lost radioactive sources needs to be quickly retrieved,positioning of radioactive source in complex environment is the key to find the lost radioactive source.[Propose]This study aims to develope a novel approach for the rapid positioning of orphan sources using a NaI(Tl)array detection device.[Method]First of all,by leveraging the shadow effect between array detectors,a response curve between gamma-ray incidence angles and counts was obtained through the use of Monte Carlo simulation software.Then,the support vector machine(SVM)method was employed to establish a predictive mathematical model for the counting rate of array detectors as a function of gamma-ray incidence angle,utilizing.Finally,a radioactive source localization physical experiment platform was constructed,and a series of incidence angle response experiments were conducted for the validation of this approach applied to radioactive source localization under varying conditions.[Results]Eexperimental results demonstrate that,through the use of the SVM regression prediction model,the maximum average deviation of the angle is 9.21°whilst the minimum is 1.77°for the angle prediction of an orphan ^(137)Cs point source.[Conclusions]This method can achieve rapid and accurate localization of an orphan radioactive source.
作者 管弦 魏星 李子锟 樊海军 张济鹏 孙涛 GUAN Xian;WEI Xing;LI Zikun;FAN Haijun;ZHANG Jipeng;SUN Tao(State Key Laboratory of NBC Protection for Civilian,Beijing 102205,China;Nuclear Technology Key Laboratory of Earth Science in Sichuan,Chengdu University of Technology,Chengdu 610059,China)
出处 《核技术》 CAS CSCD 北大核心 2023年第9期17-27,共11页 Nuclear Techniques
关键词 放射源快速定位 支持向量机 探测阵列 阴影效应 Radioactive source rapid location Support Vector machine Array detector Shadow effect
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