Stochastically estimated covariance matrices for independent and cumulative fission yields in the ENDF/B-VIII.0 and JEFF-3.3 evaluations

• Published in: Atomic data and nuclear data tables Vol. 140
• Main Authors: Matthews, Eric F., Bernstein, Lee A., Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, Younes, Walid
• Format: Journal Article
• Language: English
• Published: United States 15-07-2021
• Subjects: AFTER-HEAT; ANTINEUTRINOS; EMISSION; FISSION YIELD; MATRICES; MONTE CARLO METHOD; NUCLEAR DATA COLLECTIONS; NUCLEAR FORENSICS; NUCLEAR PHYSICS AND RADIATION PHYSICS; STOCHASTIC PROCESSES
• ISSN: 0092-640X; 1090-2090

A Monte-Carlo method for the generation of correlation and covariance matrices for independent and cumulative fission yields has been developed. The method uses a constrained Monte-Carlo resampling structure in order to vary evaluated fission yield libraries in a way that meets basic conservation principles. This results in the generation of correlation/covariance matrices with limited model bias and uncertainty; the matrices are primarily reflective of the evaluated fission yield uncertainties and correlations that arise from the evaluation process. This method has been applied to generate correlation and covariance matrices for all of the fissioning systems of the ENDF/B-VIII.0 and JEFF-3.3 evaluations, marking the first time such matrices have been generated for all of these systems. These covariance matrices have been published online for immediate public use. These correlation and covariance matrices can be used to improve uncertainty estimation in calculations of reactor antineutrino emission rates, decay heat problems, and nuclear forensics.