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Bayesian approach for inferring two-dimensional location of a radioactive material using distributed detectors
Radiation Physics and Chemistry ( IF 2.8 ) Pub Date : 2024-11-12 , DOI: 10.1016/j.radphyschem.2024.112389
Giyoon Kim, Sanggeol Jeong, Jinhwan Kim, Kyung Taek Lim, Heejun Chung, Myungsoo Kim

Our research team developed a small probe to measure and analyze the environmental radiation at the sampling site for nuclear inspection. The location and activity of the radiation source are estimated using data obtained from multiple probes. In this study, Bayesian inference was applied to infer the location and activity of the radiation source. The experiments were conducted under the one-source and two-source conditions, with the same area, distribution of the probes, and measurement time. To quantitatively express how well the inferred coordinates represent the actual coordinates, the coefficient of determination was calculated. Root Mean Square Error was used to express the errors in the inferred data. In addition, measurement experiments were conducted in high-radiation areas near the Fukushima Daiichi nuclear power plant. Our model can provide sufficient information for inferring the location of leaked material and evaluating the safety in various environments such as nuclear verification, accidents, or terrorist activities.

中文翻译:


使用分布式探测器推断放射性物质二维位置的贝叶斯方法



我们的研究团队开发了一种小型探针,用于测量和分析采样点的环境辐射,以便进行核检查。使用从多个探测器获得的数据估计辐射源的位置和活动。在这项研究中,应用贝叶斯推理来推断辐射源的位置和活动。实验在单源和双源条件下进行,具有相同的面积、探针分布和测量时间。为了定量地表示推断的坐标与实际坐标的代表程度,计算了决定系数。均方根误差用于表示推断数据中的误差。此外,还在福岛第一核电站附近的高辐射区域进行了测量实验。我们的模型可以提供足够的信息来推断泄漏材料的位置,并评估各种环境(如核验证、事故或恐怖活动)的安全性。
更新日期:2024-11-12
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