Comments on the status of modern covariance data based on different fission and fusion reactor studies

Abstract

Both the availability and the quality of covariance data improved over the last years and many recent cross-section evaluations, such as JENDL-4.0, ENDF/B-VII.1, JEFF-3.3, etc. include new covariance data compilations. However, several gaps and inconsistencies still persist. Although most modern nuclear data evaluations are based on similar (or even same) sets of experimental data, and the agreement in the results obtained using different cross-sections is reasonably good, larger discrepancies were observed among the corresponding covariance data. This suggests that the differences in the covariance matrix evaluations reflect more the differences in the (mathematical) approaches used and possibly in the interpretations of the experimental data, rather than the different nuclear experimental data used. Furthermore, "tuning" and adjustments are often used in the process of nuclear data evaluations. In principle, if adjustments or "tunings" are used in the evaluation of cross-section then the covariance matrices should reflect the cross-correlations introduced in this process. However, the presently available cross-section covariance matrices include practically no cross-material correlation terms, although some evidence indicate that tuning is present. Experience in using covariance matrices of different origin (such as JEFF, JENDL, ENDF, TENDL, SCALE, etc.) in sensitivity and uncertainty analysis of vast list of cases ranging from fission to fusion and from criticality, kinetics and shielding to adjustment applications are presented. The status of the available covariance and future needs in the areas including secondary angular and energy distributions is addressed. *

Nuclear data assimilation, scientific basis and current status

“…The next essential ingredient of DA À prior uncertainties À is crucial for any Bayesian inference technique [1,19,[35][36][37].…”

“…Historically,nucleardatauncertaintiesareavailableinseveralgroup-wise matrix formats associated with the most popular libraries such as JEFF, JENDL, ENDF, TENDL, SCALE, etc. In this context we could mention such covariances data libraries as BOLNA created in a collaboration among BNL, ORNL, LANL, NRG, ANL, COMMARA-2.0 derived for ENDF-based nuclear data in one ofOECD-NEA project and COMACV1 and others attached to JENDL, TENDL and SCALE projects [35,38].…”

“…However, posterior CND À generated after adjustment À never fully inherits the prior CND. In fact, DA integrate somehow an information brought with the used IEs onto corrected nuclear parameters and their uncertainties [35]. In the years of DA practical implementations an intensive discussion arisen on the question how to interpret an appearance in posterior CND cross-covariance members have not been in prior ones [36].…”