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Title: 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 present-day state-of-the-art 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 least-squares 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 self-consistent way. We show how the IS/UQ method could be used to optimize uncertainties of IBEs and differential cross section data simultaneously.

Authors:
 [1];  [1];  [1];  [1];  [2];  [2];  [2]
  1. ORNL
  2. 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:
DE-AC05-00OR22725
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 Abdel-Khalik, 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, & Abdel-Khalik, 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 Abdel-Khalik, Hany. Thu . "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 Abdel-Khalik, 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 present-day state-of-the-art 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 least-squares 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 self-consistent 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 = {Thu Jan 01 00:00:00 EST 2015},
month = {Thu Jan 01 00:00:00 EST 2015}
}

Conference:
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