Research of nuclide identification method based on background comparison method. (February 2023)

• Record Type: Journal Article
• Authors: Li, Xiaozhe; Zhang, Qingxian; Tan, Heyi; Tan, Wei; Cheng, Zhiqiang; Ge, Liangquan; Shi, Zeming; Zeng, Guoqiang; Gu, Yi; Zhang, Jian; Dong, Chunhui; Wang, Ming
• Is Part Of: Applied radiation and isotopes. Volume 192(2023)
• Publication Date: 2023-02
• Subjects: Natural radiation -- Nuclide identification -- Sequential test -- Nuclide safety; Radiology -- Periodicals; Radiation -- Industrial applications -- Periodicals; Nuclear chemistry -- Periodicals; Internet resource; Periodical; 660.298
• DOI: 10.1016/j.apradiso.2022.110596
• Languages: English
• ISSNs: 0969-8043

Abstract

Abstract: Radioactive material inspection in public is important to nuclear safety, and it is also the key security for holding large-scale events, while fast and efficient means of detecting radioactive materials are an important technical guarantee for nuclear safety. In this paper, energy and time distribution characteristics information of the natural background and target nuclide gamma particles are used to improve the sequential background comparison method. By using those energy and time distribution characteristics information, with the half-life and characteristic gamma-ray energy and branching ratio information of the nuclide, the response time and the identification accuracy of extremely low radioactive nuclides detected under natural-radiation background can be improved. Based on the theoretical research, the particle event acquisition device with the LaBr3 (Ce) detector was used to carry out the experimental verification, and the results show that, this method can identify 137 Cs (characteristic energy of 0.662 MeV，8700 Bq，the position relative to the detector is 30 cm) in 6.2 s, and identify 60 Co (characteristic energy of 1.173 MeV and 1.332 MeV, 4500 Bq, the position relative to the detector is 15 cm) in 5.9 s. Experiments prove that the improved background comparison-based sequential Bayesian method can identify low radioactivity radionuclides under natural-radiation background rapidly. Highlights: Energy and time distribution characteristics information of the natural background and target nuclide gamma particles are used to improve the sequential background comparison method. By using energy and time distribution characteristics information, the response time and the identification accuracy of extremely low radioactive nuclides detected under natural-radiation background can be improved. Results show that, this method can identify 137 Cs (characteristic energy of 0.662 MeV，8700 Bq，the position relative to the detector is 30 cm) in 6.2 s.