Search

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 4s and 6s 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.