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

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.

Authors:
; ; ; ; ; ; ;
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
DOE - NE
OSTI Identifier:
948143
Report Number(s):
INL/JOU-08-14488
Journal ID: ISSN 0090-3752; NDTSBA; TRN: US0901562
DOE Contract Number:  
DE-AC07-99ID-13727
Resource Type:
Journal Article
Journal Name:
Nuclear Data Sheets
Additional Journal Information:
Journal Volume: 109; Journal Issue: 12; Journal ID: ISSN 0090-3752
Country of Publication:
United States
Language:
English
Subject:
22 GENERAL STUDIES OF NUCLEAR REACTORS; ALGORITHMS; SENSITIVITY; INEEL; covariance data; Gen-IV reactor; GNEP; sensitivity coefficients; Sodium Fast Reactor

Citation Formats

Hiruta, H, Palmiotti, G, Salvatores, M, Arcilla, Jr, R, McKnight, R D, Aliberti, G, Oblozinsky, P, and Yang, W S. Few Group Collapsing of Covariance Matrix Data Based on a Conservation Principle. United States: N. p., 2008. Web. doi:10.1016/j.nds.2008.11.013.
Hiruta, H, Palmiotti, G, Salvatores, M, Arcilla, Jr, R, McKnight, R D, Aliberti, G, Oblozinsky, P, & Yang, W S. Few Group Collapsing of Covariance Matrix Data Based on a Conservation Principle. United States. https://doi.org/10.1016/j.nds.2008.11.013
Hiruta, H, Palmiotti, G, Salvatores, M, Arcilla, Jr, R, McKnight, R D, Aliberti, G, Oblozinsky, P, and Yang, W S. 2008. "Few Group Collapsing of Covariance Matrix Data Based on a Conservation Principle". United States. https://doi.org/10.1016/j.nds.2008.11.013.
@article{osti_948143,
title = {Few Group Collapsing of Covariance Matrix Data Based on a Conservation Principle},
author = {Hiruta, H and Palmiotti, G and Salvatores, M and Arcilla, Jr, R and McKnight, R D and Aliberti, G and Oblozinsky, P and Yang, W S},
abstractNote = {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.},
doi = {10.1016/j.nds.2008.11.013},
url = {https://www.osti.gov/biblio/948143}, journal = {Nuclear Data Sheets},
issn = {0090-3752},
number = 12,
volume = 109,
place = {United States},
year = {Mon Dec 01 00:00:00 EST 2008},
month = {Mon Dec 01 00:00:00 EST 2008}
}