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.

已经开发了用于生成独立和累积裂变产率的相关性和协方差矩阵的蒙特卡罗方法。该方法使用受约束的蒙特卡罗重采样结构，以便以符合基本守恒原则的方式改变评估的裂变产量库。这导致生成具有有限模型偏差和不确定性的相关/协方差矩阵；矩阵主要反映评估过程中产生的裂变产额不确定性和相关性。该方法已应用于为 ENDF/B-VIII.0 和 JEFF-3.3 评估的所有裂变系统生成相关和协方差矩阵，这标志着首次为所有这些系统生成此类矩阵。这些协方差矩阵已在线发布以供公众立即使用。这些相关性和协方差矩阵可用于改进反应堆反中微子排放率、衰变热问题和核取证计算中的不确定性估计。