1. Sensitivity studies on a novel nuclear forensics methodology for source reactor-type discrimination of separated weapons grade plutonium
- Author
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Jeremy M. Osborn, Evans D. Kitcher, and Sunil S. Chirayath
- Subjects
Systematic error ,Observational error ,Isotope ,020209 energy ,Nuclear forensics ,Nuclear engineering ,chemistry.chemical_element ,02 engineering and technology ,lcsh:TK9001-9401 ,030218 nuclear medicine & medical imaging ,Plutonium ,03 medical and health sciences ,0302 clinical medicine ,Nuclear Energy and Engineering ,Nuclear reactor core ,chemistry ,0202 electrical engineering, electronic engineering, information engineering ,lcsh:Nuclear engineering. Atomic power ,Sensitivity (control systems) ,Burnup - Abstract
A recently published nuclear forensics methodology for source discrimination of separated weapons-grade plutonium utilizes intra-element isotope ratios and a maximum likelihood formulation to identify the most likely source reactor-type, fuel burnup and time since irradiation of unknown material. Sensitivity studies performed here on the effects of random measurement error and the uncertainty in intra-element isotope ratio values show that different intra-element isotope ratios have disproportionate contributions to the determination of the reactor parameters. The methodology is robust to individual errors in measured intra-element isotope ratio values and even more so for uniform systematic errors due to competing effects on the predictions from the selected intra-element isotope ratios suite. For a unique sample-model pair, simulation uncertainties of up to 28% are acceptable without impeding successful source-reactor discrimination. However, for a generic sample with multiple plausible sources within the reactor library, uncertainties of 7% or less may be required. The results confirm the critical role of accurate reactor core physics, fuel burnup simulations and experimental measurements in the proposed methodology where increased simulation uncertainty is found to significantly affect the capability to discriminate between the reactors in the library. Keywords: Nuclear forensics, Reactor-type discrimination, Maximum likelihood, Intra-element isotope ratios, Sensitivity analysis
- Published
- 2019
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