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Title:COMBINING DIFFERENTIAL AND INTEGRAL EXPERIMENTS ON 239PU FOR REDUCING UNCERTAINTIES IN NUCLEAR DATA APPLICATIONS
DOI No:10.1142/9789812773401_0015
Source:NUCLEAR DATA NEEDS FOR GENERATION IV NUCLEAR ENERGY SYSTEMS (pp 138-144)
Author(s):T. KAWANO
Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA

K. M. HANSON
Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA

S. C. FRANKLE
Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA

P. TALOU
Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA

M. B. CHADWICK
Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA

R. C. LITTLE
Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA

Abstract:We present an approach to uncertainty quantification for nuclear applications, which combines the covariance evaluation of differential cross-sections data and the error propagation from matching a criticality experiment using a neutron transport calculation. We have studied the effect on Pu-239 fission cross sections of using a one-dimensional neutron transport calculation with the PARTISN code. The evaluation of Pu-239 differential cross-section data is combined with a criticality measurement (Jezebel) using a Bayesian method. To perform the uncertainty quantification for such calculations, we generate a set of random samples of cross sections, which is representative of the covariance matrix, and estimate the distribution of calculated quantities, such as criticality. We show that inclusion of the Jezebel data reduces uncertainties in estimating neutron multiplicity.
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