- ISSN: 1977-5296, DOI: 10.3011/ESARDA.IJNSNP.2021.3
- Publication date
- 1 June 2021
- Joint Research Centre
Volume: 62, June 2021, pages 23-34,
Authors: Elisa Bonner1, Thomas Burr3, Thomas Krieger4, Klaus Martin1, Claude Norman1, Peter Santi2
1IAEA/SGIM/Nuclear Fuel Cycle Information Analysis, 2IAEA/SGCP/Safeguards Training, 3Los Alamos National Laboratory, 4Forschungszentrum Jülich GmbH
For safeguards evaluators to provide credible assurance that States are honoring their safeguards obligations, quantitative conclusions regarding non-diversion from States’ nuclear material flows and inventories are needed. The statistical analysis used to reach these conclusions requires that each measurement method undergo uncertainty quantification (UQ). Training for safeguards inspectors includes measurement error models that must account for variation within and between groups, where a group is defined to be a calibration or inspection period...
Keywords: Nuclear Safeguards, Statistical Methodologies, Approximate Bayesian Computation (ABC), Data Analytics, Non-Destructive Assay (NDA)
Bonner, E., Burr, T., Krieger, T., Martin, K., Norman, C., & Santi, P. (2021). Uncertainty quantification as presented in training courses for safeguards inspectors. ESARDA Bulletin - The International Journal of Nuclear Safeguards and Non-proliferation, 62, 23-34.