用于γ全谱基线扣除的改进SNIP算法研究  

Baseline Elimination Method for γ-ray Spectra Based on Improved SNIP Algorithm

作　　者：王一鸣[1] 魏义祥[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：《核电子学与探测技术》2012年第12期1356-1359,1393,共5页Nuclear Electronics & Detection Technology

基　　金：国家自然科学基金资助(11175101)

摘　　要：快速有效的全谱基线扣除是γ能谱分析的重要前提。论文在研究基线形成本质与基线扣除算法关键要求的基础上,针对现有SNIP算法存在的不足提出修改,发展出一套新的改进SNIP方法。方法借助能谱FWHM刻度对SNIP滤波窗宽度进行自适应调整,解决固定窗宽在不同能量区间应用产生的矛盾;通过扩展计数的动态范围实现康普顿边缘等基线快速变化区域的准确估计。方法在实际能谱分析的应用中获得了较为理想的处理结果,相对现有的多种SNIP算法,其准确性与高效性都具有一定优势。Efficient baseline elimination method plays an important role in y -ray spectra analysis. A novel ap- proach based on SNIP algorithm was developed, in order to improve the performances of existing methods. The width of filter was designed to be adaptive to FWHM of the peaks, and accurate baseline estimations in special peak -free regions, such as Compton edges, were achieved by extending the dynamic range of data. The im- proved SNIP algorithm was tested using practical spectrum, and the result was proved to be reliable and efficient comparing to the original methods.

关 键 词：Γ能谱 基线扣除 统计敏感的非线性迭代剥峰算法 康普顿散射 

分 类 号：TL817.2[核科学技术—核技术及应用]