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Program - Brookhaven National Laboratory

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available for ENDF/B-VII. The observed discrepancies between calculated and experimental results (see<br />

below) were used in conjunction with the computed sensitivity coefficients and covariance matrix for nuclear<br />

parameters in the consistent data assimilation. As for 235U and 239Pu, the GODIVA and JEZEBEL<br />

experimental results (keff and spectral indices) were used in order to exploit information relative to the<br />

specific isotope of interest. The results obtained by the consistent data assimilation indicate that with<br />

reasonable modifications (mostly within the initial standard deviation) it is possible to eliminate the<br />

original discrepancies on the Keff of the two critical configurations. However, some residual discrepancy<br />

remains for a few fission spectral indices that are, most likely, to be attributed to the detector cross sections.<br />

Subsequently separated isotope irradiation experiments (PROFIL and TRAPU in the PHENIX reactor)<br />

were used for the improvement of 242Pu and 105Pd data. The results so far obtained indicate that a much<br />

general and robust approach based on physics arguments can be envisaged to improve nuclear data for a<br />

wider range of applications and consistently with the requirements of advanced simulation of reactors and<br />

associated innovative fuel cycles.<br />

OB 2 2:00 PM<br />

Towards unified reaction cross sections through assimilation of integral and differential<br />

experiments.<br />

S. Hoblit, M. Herman, G. P. A. Nobre, A. Palumbo<br />

<strong>National</strong> Nuclear Data Center, <strong>Brookhaven</strong> <strong>National</strong> <strong>Laboratory</strong>, Upton, NY 11973-5000, USA<br />

G. Palmiotti, H. Hiruta, M. Salvatores<br />

Idaho <strong>National</strong> <strong>Laboratory</strong>, Idaho Falls, ID, USA<br />

M. T. Pigni<br />

Oak Ridge <strong>National</strong> <strong>Laboratory</strong>, P.O. Box 2008, Oak Ridge, TN 37831, USA<br />

The classical method of adjusting multi-grouped reaction cross sections to a specific set of integral experiments<br />

or applications often result in cross sections that are difficult to apply to other situations where the<br />

adjustments are not applicable or the specific energy grouping or weighting is inappropriate. To address<br />

these issues we will discuss efforts underway at the NNDC at <strong>Brookhaven</strong> <strong>National</strong> <strong>Laboratory</strong> with collaborators<br />

at Idaho <strong>National</strong> <strong>Laboratory</strong> to assimilate integral experiments to produce adjusted differential<br />

reaction cross sections that can be applied to a variety of applications without the need for grouping or<br />

adjustments tailored to specific needs. This method uses the Empire code [1] to model various materials<br />

and determine the sensitivity of the reaction cross sections to the model parameters and their covariances<br />

as fit to differential data. Our collaborators at INL determine the sensitivity of integral experimental quantities<br />

to the reaction cross sections. Folding these then results in sensitivities of the integral experiments<br />

to underlying model parameters, which can then be used to fit the integral data using the covariances from<br />

differential data. This results in a set of model parameters and reaction cross sections and uncertainties<br />

that simultaneously account for both the differential and integral measurements which can then be applied<br />

to a wide variety of experiments and designs without the need for further adjustment. We also will discuss<br />

a method under development at the NNDC where the differential cross sections are used in monte-carlo<br />

simulations of integral experiments as an alternative method for including their sensitivities to model parameters.<br />

The results of these studies as applied to few important materials will be presented.<br />

[1] M. Herman, R. Capote, B. V. Carlson, P. Oblozinsky, M. Sin, A. Trkov, H. Wienke, and V. Zerkin. ”Empire:<br />

Nuclear reaction model code system for data evaluation.” Nuclear Data Sheets, 108 (12): 2655-2715,<br />

2007.<br />

OB 3 2:20 PM<br />

206

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