Few group collapsing of covariance matrix data based on a conservation principle

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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 preserving at a broad energy group structure the uncertainty calculated in a fine group energy structure for a specific integral parameter, using as weights the associated sensitivity coefficients.

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Hiruta,H.; Palmiotti, G.; Salvatores, M.; Arcilla, Jr., R.; Oblozinsky, P. & McKnight, R.D. June 24, 2008.

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Description

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 preserving at a broad energy group structure the uncertainty calculated in a fine group energy structure for a specific integral parameter, using as weights the associated sensitivity coefficients.

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  • Covariance Workshop; Port Jefferson, New York ; 20080624

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  • Report No.: BNL--81629-2008-CP
  • Grant Number: DE-AC02-98CH10886
  • Office of Scientific & Technical Information Report Number: 939954
  • Archival Resource Key: ark:/67531/metadc901849

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Office of Scientific & Technical Information Technical Reports

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  • June 24, 2008

Added to The UNT Digital Library

  • Sept. 27, 2016, 1:39 a.m.

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  • Nov. 1, 2016, 2:31 p.m.

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Hiruta,H.; Palmiotti, G.; Salvatores, M.; Arcilla, Jr., R.; Oblozinsky, P. & McKnight, R.D. Few group collapsing of covariance matrix data based on a conservation principle, article, June 24, 2008; United States. (digital.library.unt.edu/ark:/67531/metadc901849/: accessed September 24, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.