https://doi.org/10.1051/epjn/2018021
Regular Article
Cross section covariances: a user perspective
Idaho National Laboratory,
Idaho Falls, USA
* e-mail: Giuseppe.Palmiotti@inl.gov
Received:
16
November
2017
Received in final form:
1
March
2018
Accepted:
14
May
2018
Published online: 14 November 2018
This paper makes a brief historical review, from the user point of view, of the impact of the different covariance data made available during this period, then look at today current situation in the different evaluated files, using practical examples. In particular, the performance, in terms of C/E, of two of the most recent and reliable evaluate files, CIELO and CIELO-2, is presented for a set of selected integral experiments. Moreover, this performance is compared for consistency against the uncertainty computed with two of the current most used covariance data (COMMARA-2.0 and COMACV1). A limited number of comparisons are also shown relative to the JENDL-4 data. Of specific interest is the observed difference due separately to the diagonal and off-diagonal (correlations) contributions. Finally, some perspective and future needs are discussed.
© G. Palmiotti and M. Salvatores, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.