Design of Radionuclides Identification Algorithm Based on Sequence Bayesian Method

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation

Wu, Zeqian^1 ; B., Wang ; J., Sun

Institute of NBC Defense, Beijing

102205, China^1

关键词: Average numbers;    Bayesian methods;    Decision-making function;    False alarm rate;    Identification accuracy;    Identification algorithms;    Identification process;    Region of interest;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/5/052047/pdf
DOI  :  10.1088/1757-899X/569/5/052047

来源: IOP

【 摘 要 】

An efficient method of radionuclides identification is essential for the work in the nuclear-related area. In this paper, sequential Bayesian method is embedded into a new radionuclides identification algorithm. Through the process of energy screening, parameter estimation, decision-making function updating and judging, the types of radionuclides can be identified quickly and accurately. This algorithm is tested by using the measured energy spectrum detected by LaBr3(Ce) detector, and the results are composed of the following four parts for the case where the widths of region of interest are 4σ and 6σ respectively: the selection experiment of two pre-set parameters of the algorithm; false alarm rate and missed alarm rate of radionuclides identification; the effect of energy drift on the identification accuracy; the average number of total collected particles and valid particles needed for identification process.