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Illustration of the radiological mapping and image reconstruction process, which plays a critical role in many nuclear security related applications. A detector system carried by an unmanned aerial vehicle scans the field to measure the counts due to environmental background and potential radioactive sources. The data collected during the mapping is processed on an edge computer. With traditional methods, such as MLEM, the major results output from the computer is a map showing the estimated radioactivity intensity. Using Bayesian methods, the major results output includes not only a radioactivity intensity estimate, but also their associated uncertainties. (Credit: Jayson R. Vavrek)

Fast Machine Learning-Enabled Uncertainty Quantification for Radiological Mapping

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Nuclear Science

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