便携式γ谱仪中的核素识别算法  

Nuclide identification algorithm for a portable gamma spectrometer

作　　者：陈亮[1] 魏义祥[1] 屈建石[1] 

机构地区：[1]清华大学工程物理系,粒子技术与辐射成像教育部重点实验室,北京100084

出　　处：《清华大学学报（自然科学版）》2009年第5期635-638,共4页Journal of Tsinghua University(Science and Technology)

基　　金：国家自然科学基金资助项目(10675073)

摘　　要：为满足便携式γ谱仪核素识别的功能需求,提出了以有限脉冲响应(FIR)滤波平滑、自适应对称零面积寻峰、核素匹配为基础的能谱数据处理及核素识别算法。算法中避免了复杂的迭代运算,充分利用已知核素的先验知识优化了核素库的设计,提高了运算速度,达到了适用于便携式γ谱仪的核素识别要求。算法运行在ARM2440单片机上,经过自制的便携式谱仪系统实测数据和MonteCarlo模拟数据的验证,能够在5s内正确识别出4类、27种不同核素。A serious of algorithms, including finite impulse response （FIR） filter smoothing, self-adjusting symmetrical zero-area peak searching, and nuclide matching were developed for nuclide identification in portable spectrometers. These algorithms avoid complicated iterative calculations and make the most of prior knowledge about known nuclides, with optimized nuclide libraries and improved calculational speeds so that the algorithms can provide satisfactory nuclide identification by a NaI detector portable γ spectrometer. The algorithms were validated by experiments and Monte Carlo simulation spectra data. The results show that these algorithms can identify 4 classes and 27 kinds of nuclides in 5 s on an ARM2440 micro controller unit, with the experimental spectra data obtained using a self-designed portable spectrometer.

关 键 词：核素识别 能谱分析 便携式谱仪 核素库 

分 类 号：TL817.2[核科学技术—核技术及应用]