Bayesian source reconstruction of an anomalous Selenium-75 release at a nuclear research institute by Pieter De Meutter, Ian Hoffman.
Atmospheric transport and dispersion models are important tools in radiation protection as they help to estimate the impact of radionuclides released into atmosphere. In particular, such can be used combination with radionuclide observations unknown source term parameters, or improve estimates obtained through other methods. this paper, a Bayesian inference system was determine parameters their corresponding credible intervals real-world anomalous 75 Se release at nuclear facility Belgium. Furthermore, formulation is proposed that not only takes account true detections, but also instrumental non-detections, false alarms real misses. The able correctly known location. then refined by fixing location making stronger assumptions about period. • A tool developed atmospheric emissions. for detections non-detections. applied recent Se-75.
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