Advancing Inverse Sensitivity/Uncertainty Methods for Nuclear Fuel Cycle Applications
Abstract
The inverse sensitivity/uncertainty quantification (IS/UQ) method has recently been implemented in the Inverse Sensitivity/UnceRtainty Estimiator (INSURE) module of the AMPX system [1]. The IS/UQ method aims to quantify and prioritize the cross section measurements along with uncertainties needed to yield a given nuclear application(s) target response uncertainty, and doing this at a minimum cost. Since in some cases the extant uncertainties of the differential cross section data are already near the limits of the presentday stateoftheart measurements, requiring significantly smaller uncertainties may be unrealistic. Therefore we have incorporated integral benchmark experiments (IBEs) data into the IS/UQ method using the generalized linear leastsquares method, and have implemented it in the INSURE module. We show how the IS/UQ method could be applied to systematic and statistical uncertainties in a selfconsistent way. We show how the IS/UQ method could be used to optimize uncertainties of IBEs and differential cross section data simultaneously.
 Authors:
 ORNL
 North Carolina State University
 Publication Date:
 Research Org.:
 Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
 Sponsoring Org.:
 USDOE National Nuclear Security Administration (NNSA)
 OSTI Identifier:
 1185490
 DOE Contract Number:
 DEAC0500OR22725
 Resource Type:
 Conference
 Resource Relation:
 Conference: International Workshop on Nuclear Data Covariances (CW 2014), Santa Fe, NM, USA, 20140428, 20140501
 Country of Publication:
 United States
 Language:
 English
 Subject:
 97 MATHEMATICS AND COMPUTING; 73 NUCLEAR PHYSICS AND RADIATION PHYSICS
Citation Formats
Arbanas, Goran, Williams, Mark L, Leal, Luiz C, Dunn, Michael E, Khuwaileh, Bassam A., Wang, C, and AbdelKhalik, Hany. Advancing Inverse Sensitivity/Uncertainty Methods for Nuclear Fuel Cycle Applications. United States: N. p., 2015.
Web.
Arbanas, Goran, Williams, Mark L, Leal, Luiz C, Dunn, Michael E, Khuwaileh, Bassam A., Wang, C, & AbdelKhalik, Hany. Advancing Inverse Sensitivity/Uncertainty Methods for Nuclear Fuel Cycle Applications. United States.
Arbanas, Goran, Williams, Mark L, Leal, Luiz C, Dunn, Michael E, Khuwaileh, Bassam A., Wang, C, and AbdelKhalik, Hany. 2015.
"Advancing Inverse Sensitivity/Uncertainty Methods for Nuclear Fuel Cycle Applications". United States.
doi:. https://www.osti.gov/servlets/purl/1185490.
@article{osti_1185490,
title = {Advancing Inverse Sensitivity/Uncertainty Methods for Nuclear Fuel Cycle Applications},
author = {Arbanas, Goran and Williams, Mark L and Leal, Luiz C and Dunn, Michael E and Khuwaileh, Bassam A. and Wang, C and AbdelKhalik, Hany},
abstractNote = {The inverse sensitivity/uncertainty quantification (IS/UQ) method has recently been implemented in the Inverse Sensitivity/UnceRtainty Estimiator (INSURE) module of the AMPX system [1]. The IS/UQ method aims to quantify and prioritize the cross section measurements along with uncertainties needed to yield a given nuclear application(s) target response uncertainty, and doing this at a minimum cost. Since in some cases the extant uncertainties of the differential cross section data are already near the limits of the presentday stateoftheart measurements, requiring significantly smaller uncertainties may be unrealistic. Therefore we have incorporated integral benchmark experiments (IBEs) data into the IS/UQ method using the generalized linear leastsquares method, and have implemented it in the INSURE module. We show how the IS/UQ method could be applied to systematic and statistical uncertainties in a selfconsistent way. We show how the IS/UQ method could be used to optimize uncertainties of IBEs and differential cross section data simultaneously.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2015,
month = 1
}

The inverse sensitivity/uncertainty quantification (IS/UQ) method has recently been implemented in the Inverse Sensitivity/UnceRtainty Estimator (INSURE) module of the AMPX cross section processing system [M.E. Dunn and N.M. Greene, “AMPX2000: A CrossSection Processing System for Generating Nuclear Data for Criticality Safety Applications,” Trans. Am. Nucl. Soc. 86, 118–119 (2002)]. The IS/UQ method aims to quantify and prioritize the cross section measurements along with uncertainties needed to yield a given nuclear application(s) target response uncertainty, and doing this at a minimum cost. Since in some cases the extant uncertainties of the differential cross section data are already near the limits ofmore »

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