摘要
核素的识别在放射源定位中起着极其重要的作用,而在核素识别中,γ能谱的寻峰方法又是核素识别的基础,寻峰的灵敏度和准确性决定了最终核素识别方法的性能。提出一种基于小波变换的放射源特征峰提取方法,通过实测谱数据和G1200谱线数据作为实验验证依据,利用小波变换结合二维方差阈值方法在初始数据中建立客观的寻峰标准。实验结果表明,运用该方法在G1200寻峰算法评测谱上的漏寻率比ORTEC软件降低约13.63%,可以有效避开康普顿边,具有实际部署的潜力。
The identification of radionuclides plays a key role in the localization of radiation sources.In radionuclide identification,the peak-finding method inγspectrometry serves as the foundation,with the sensitivity and accuracy of peak-finding determining the performance of the final radionuclide identification method.This paper proposes a new method for extracting characteristic peaks of radiation sources based on wavelet transform.Using both measured spectrum data and G1200 spectrum data as experimental validation references,the method combines wavelet transform with a two-dimensional variance threshold approach to establish an objective peak-finding standard from the initial data.Experimental results show the under-search rate of the G1200 peak finding algorithm is about 13.63%lower than that of ORTEC software,demonstrating the method has the potential for application.
作者
王超亚
瞿金辉
李浪
袁恺鸣
陈步龙
汤斌
王少飞
赵明富
宋涛
WANG Chaoya;QU Jinhui;LI Lang;YUAN Kaimin;CHEN Bulong;TANG Bin;WANG Shaofei;ZHAO Mingfu;SONG Tao(Chongqing Key Laboratory of Optical Fiber Sensing and Photoelectric Detection,Chongqing University of Technology,Chongqing 400054,China;Institute of Nuclear Application Technology,East China University of Technology,Nanchang 330014,China;School of Marine Science and Technology,Northwestern Polytechnical University,Xi’an 710100,China)
出处
《重庆理工大学学报(自然科学)》
北大核心
2025年第8期222-228,共7页
Journal of Chongqing University of Technology:Natural Science
基金
重庆市教育委员会科学技术研究项目(KJQN202201110)
重庆市科研机构绩效激励引导专项(CSTB2023JXJL-YFX0004)。
关键词
特征峰
G1200谱线
小波变换
二维方差
peak extraction
G1200 spectrum
wavelet transform
two-dimensional variance threshold
作者简介
王超亚,男,硕士研究生,主要从事核电子学仪器研究,E-mail:charleswong@yeah.net;通信作者:瞿金辉,男,博士,讲师,主要从事核辐射探测技术研究,E-mail:jhqu@ecut.edu.cn;汤斌,男,博士,副教授,主要从事核辐射探测技术研究,E-mail:tangbin@cqut.edu.cn。
