Reconstructing North Korea’s plutonium production history with Bayesian inference-based reprocessing waste analysis
Nuclear Engineering and Technology, vol. 58, pp. 103849
Abstract
Although North Korea’s nuclear program has been the subject of extensive scrutiny, estimates of its fissile material stockpiles remain fraught with uncertainty. In potential future disarmament agreements, inspectors may need to use nuclear archaeology methods to verify or gain confidence in a North Korean fissile material declaration. This study explores the potential utility of a Bayesian inference-based analysis of the isotopic composition of reprocessing waste to reconstruct the operating history of the 5 MWe reactor and estimate its plutonium production history. We simulate several scenarios that reflect different assumptions and varying levels of prior knowledge about the reactor. The results show that correct prior assumptions can be confirmed and incorrect prior information (or a false declaration) can be detected. Model comparison techniques can distinguish between scenarios with different numbers of core discharges, a capability that could provide important insights into the early stages of operation of the 5 MWe reactor. Using these techniques, a weighted plutonium estimate can be calculated, even in cases where the number of core discharges is not known with certainty.
Authors 3
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RWTH Aachen University · Technische Universität Darmstadt
Affiliation as printed
Nucler Verification and Disarmament, RWTH Aachen University, Schinkelstrasse 2, Aachen, 52062, Germany
Technical University of Darmstadt, Karolinenplatz 5, Darmstadt, 64289, Germany
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Affiliation as printed
Nucler Verification and Disarmament, RWTH Aachen University, Schinkelstrasse 2, Aachen, 52062, Germany
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Technische Universität Darmstadt · Peace Research Institute Frankfurt
Affiliation as printed
Peace Research Institute Frankfurt, Baseler Str. 27–31, Frankfurt am Main, 60329, Germany
Technical University of Darmstadt, Karolinenplatz 5, Darmstadt, 64289, Germany
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