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

Journal Article · Mon Dec 15 00:00:00 EST 2008 · Nuclear Data Sheets

DOI:https://doi.org/10.1016/j.nds.2008.11.013· OSTI ID:21163771

Palmiotti, G ^[1]; Salvatores, M ^[1]; CEA-Cadarache, 13108 St-Paul-Lez-Durance ^[2]; Arcilla, R; Oblozinsky, P ^[3]; McKnight, R D ^[4]

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1. Idaho National Laboratory, NSE Division, 2525 Fremont Ave. P.O. Box 1625, Idaho Falls, ID 83415 (United States)
2. France
3. National Nuclear Data Center, Brookhaven National Laboratory, Upton, NY 11973-5000 (United States)
4. Argonne National Laboratory, NE Division, Argonne, IL 60439 (United States)

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.

• OSTI ID: 21163771
• Journal Information: Nuclear Data Sheets, Vol. 109, Issue 12; Conference: Workshop on neutron cross section covariances, Port Jefferson, NY (United States), 24-28 Jun 2008; Other Information: DOI: 10.1016/j.nds.2008.11.013; PII: S0090-3752(08)00101-4; Copyright (c) 2008 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved; Country of input: International Atomic Energy Agency (IAEA); ISSN 0090-3752
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
ALGORITHMS
DATA COVARIANCES
MATRICES
NUCLEAR DATA COLLECTIONS
SENSITIVITY