Sensitivity Analysis and Cross Sections Data Adjustment for Multigroup Transport and Diffusion

Herrero Carrascosa, José Javier and Badea, A. F. and Gacuci, D. G. (2008). Sensitivity Analysis and Cross Sections Data Adjustment for Multigroup Transport and Diffusion. In: "International Conference on the Physics of Reactors "Nuclear Power: A Sustainable Resource", Physor 08", 14/09/2009-19/09/2009, Interlaken, Suiza. ISBN 978-3-9521409-5-6.

Description

Title: Sensitivity Analysis and Cross Sections Data Adjustment for Multigroup Transport and Diffusion
Author/s:
  • Herrero Carrascosa, José Javier
  • Badea, A. F.
  • Gacuci, D. G.
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Conference on the Physics of Reactors "Nuclear Power: A Sustainable Resource", Physor 08
Event Dates: 14/09/2009-19/09/2009
Event Location: Interlaken, Suiza
Title of Book: CD-ROM Proceedings of the International Conference on the Physics of Reactors "Nuclear Power: A Sustainable Resource", Physor 08
Date: 2008
ISBN: 978-3-9521409-5-6
Subjects:
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería Nuclear [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Uncertainties in basic nuclear data and other quantities involved in the characterization of an experiment affect the accuracy of the results when the respective experiment is modelled. The impact of these uncertainties on computed responses can be assessed by combining the sensitivities of these responses to the input parameters with data uncertainties and covariances. Furthermore, best estimates of both the input parameters and recomputed responses, with reduced uncertainties, can be obtained by using data assimilation and adjustment procedures. This paper reports the results of using the data adjustment methodology in conjunction with the well-known Godiva experiment and a partial set of uncertainties from the ZZ-COV-15 library for U-235 and U-238, together with sensitivities computed with APOLLO transport code by the Adjoint Sensitivity Analysis Procedure, to obtain best-estimate values for the k eigenvalue of the system, with reduced uncertainties. In parallel, sensitivities were also computed using COBAYA diffusion code, compared with those produced by APOLLO, and then employed in the adjustment formalism to obtain the adjusted k eigenvalue and its corresponding reduced uncertainty.

More information

Item ID: 3543
DC Identifier: http://oa.upm.es/3543/
OAI Identifier: oai:oa.upm.es:3543
Official URL: http://www.psi.ch/
Deposited by: Memoria Investigacion
Deposited on: 08 Mar 2011 12:24
Last Modified: 20 Apr 2016 13:05
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