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FP7

Few Group Collapsing of Covariance Matrix Data Based on a Conservation Principle

Funded under: FP7-EURATOM

Abstract

A new algorithm for a rigorous collapsing of covariance data is proposed, derived, implemented, and tested. The method is based on a conservation principle that allows the uncertainty calculated in a fine group energy structure for a specific integral parameter, using as weights the associated sensitivity coefficients, to be preserved at a broad energy group structure.

Additional information

Authors: MCKNIGHT RD, ;HIRUTA H, Idaho National Laboratory, Idaho Falls (US), Département de Recherches sur la Fusion Contrôlée, Association Euratom-CEA sur la Fusion, CEA Cadarache, Saint-Paul-lez-Durance (FR);PALMIOTTI G, Idaho National Laboratory, Idaho Falls (US), Département de Recherches sur la Fusion Contrôlée, Association Euratom-CEA sur la Fusion, CEA Cadarache, Saint-Paul-lez-Durance (FR);SALVATORES M, National Nuclear Data Center, Brookhaven National Laboratory, Upton (US);ARCILLA JR R, Argonne National Laboratory, Argonne (US);OBLO�INSKÝ P, Argonne National Laboratory, Argonne (US)
Bibliographic Reference: An article published in: Nuclear Data Sheets, Volume 109, Issue 12 (2008), 6 pp., Special Issue on Workshop on Neutron Cross Section Covariances June 24-28, 2008, Port Jefferson, New York, USA
Availability: This article can be accessed online by subscribers, and can be ordered online by non-subscribers, at: http://dx.doi.org/10.1016/j.nds.2008.11.013
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