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}
}
Other availability
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.