Bayesian Approach for Multigamma Radionuclide Quantification Applied on Weakly Attenuating Nuclear Waste Drums

Summary: A Bayesian formalism is developed to characterize radioactive wastes by combining gamma-ray spectrometry and tomographic scans, providing accurate density information and identifying heterogeneities. Simulated examples show that utilizing density prior information significantly reduces plutonium mass uncertainty in radioactive waste, demonstrating the effectiveness of this approach.