Numerical study on the sequential Bayesian approach for radioactive materials detection

作者：Xiang Qingpei; Tian Dongfeng^*; Zhu Jianyu; Hao Fanhua; Ding Ge; Zeng Jun

来源：Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment , 2013, 697: 107-113.

DOI：10.1016/j.nima.2012.09.031

• Sequential Bayesian
• Radionuclide detection
• Expected detection rate
• Tested detection rate
• LaBr3(Ce) detector

A new detection method, based on the sequential Bayesian approach proposed by Candy et al., offers new horizons for the research of radioactive detection. Compared with the commonly adopted detection methods incorporated with statistical theory, the sequential Bayesian approach offers the advantages of shorter verification time during the analysis of spectra that contain low total counts, especially in complex radionuclide components. In this paper, a simulation experiment platform implanted with the methodology of sequential Bayesian approach was developed. Events sequences of gamma-rays associating with the true parameters of a LaBr3(Ce) detector were obtained based on an events sequence generator using Monte Carlo sampling theory to study the performance of the sequential Bayesian approach. The numerical experimental results are in accordance with those of Candy. Moreover, the relationship between the detection model and the event generator, respectively represented by the expected detection rate (A(m)) and the tested detection rate (G(m)) parameters, is investigated. To achieve an optimal performance for this processor, the interval of the tested detection rate as a function of the expected detection rate is also presented.

• 出版日期2013-1-1
• 单位中国工程物理研究院; 中国工程物理研究院核物理与化学研究所