一种通过车载NaI(Tl)γ能谱甄别放射性异常的有效方法  

An Effective Method for The Radioactive Anomalism Discrimination By Carborne NaI(Tl) γ Spectra

作　　者：刘俊[1] 冯天成[1] 龙斌[1,2] 雷卫国[1,2] 吴睿[1,2] 陈伟[1] 冯元举[1] 

机构地区：[1]西北核技术研究所,陕西西安710024 [2]兰州大学核科学与技术学院,甘肃兰州73000

出　　处：《核电子学与探测技术》2011年第12期1386-1390,共5页Nuclear Electronics & Detection Technology

摘　　要：基于噪声调整奇异值分解(NASVD)的第二奇异值对谱形变化的敏感性,及扫描测量相邻本底能谱间的相似性,建立了一种通过车载NaI(Tl)γ能谱甄别放射性异常的有效方法。用NASVD进行能谱降噪、异常甄别及本底谱重构和剥除,之后采用彩虹图法显示异常。该方法实现了对放射性异常的灵敏甄别和清晰显示。An effective method was established for the radioactive anomalism discrimination by carborne NaI（Tl） γ spectra based on the principles that the second singular value of Noise Adjusted Singular Value Decomposition（NASVD） was sensitive to the changes of the background,and that the adjacent background spectra of scanning measurement were similar.In this method,NASVD was used for the noise reduction of spectra,anomalism discrimination,and the reconstruction and stripping of background spectra,then the anomalism display was done in rainbow method.This method was used successfully in the discrimination and display of the radioactive anomalisms.

关 键 词：车载NaI(Tl)能谱 异常甄别 NASVD 彩虹图法 

分 类 号：TL81[核科学技术—核技术及应用]