基于序贯贝叶斯方法的核素识别算法研究

摘要

This paper introduces the nuclide identification algorithm based on sequential bayesian analysis which takes full advantage of half -life period , characteristic energy and branching ratio information to judge the exist -ence of radionuclide .The nuclide identification algorithm based on sequential bayesian analysis has faster iden -tification speed and lower identification limit .The minimum identifiable counting rate of 137Cs(0.662 MeV) and 60Co(1.173 MeV,1.332 MeV) is 0.78s -1, 0.96 s -1 and 0.82s-1, respectively.This method is especial-ly applicable for the fast identification of radionuclide with very low activity .%介绍了基于序贯贝叶斯方法的核素识别算法。该方法利用放射性核素半衰期、特征γ射线能量和分支比等信息对核素的存在进行判断。基于序贯贝叶斯法的核素识别算法识别速度快，识别下限低，对于137Cs（0．662 MeV）和60 Co（1．173 MeV，1．332 MeV）核素，其最小可识别计数率分别是0．78 s－1、0．96 s－1和0．82 s－1，特别适用于极低水平核素的快速识别。