Computational Code for “An Adaptive Bayesian Framework for Gamma Characterization of Radioactive Waste Drums Using OpenMC Response Modeling and Information-Guided Detector Positioning”
Published: 24 September 2026| Version 1 | DOI: 10.17632/x2ccn495nk.1
Contributor:
Ayman Abu GhazalDescription
This dataset contains the computational code associated with the manuscript “An Adaptive Bayesian Framework for Gamma Characterization of Radioactive Waste Drums Using OpenMC Response Modeling and Information-Guided Detector Positioning.” The deposited materials include the OpenMC model used to generate the detector-response calculations and the Python implementation of the adaptive Bayesian framework, including sequential posterior updating, expected-information-gain-based detector-angle selection, and uncertainty-based stopping. The files are provided to support reproducibility of the computational methodology described in the manuscript.
Files
Categories
Physics, Statistics, Nuclear Engineering, Computer-Aided Measurement, Bayesian Method, Bayesian Estimation, Bayesian Analysis