Use of Covariance Matrices in a Consistent (Multiscale) Data Assimilation for Improvement of Basic Nuclear Parameters in Nuclear Reactor Applications: From Meters to Femtometers

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A new approach is proposed, the consistent data assimilation, that allows to link the integral data experiment results to basic nuclear parameters employed by evaluators to generate ENDF/B point energy files in order to improve them. A practical example is provided where the sodium neutron propagation experiments, EURACOS and JANUS-8, are used to improve via modifications of 23Na nuclear parameters (like scattering radius, resonance parameters, Optical model parameters, Statistical Hauser-Feshbach model parameters, and Preequilibrium Exciton model parameters) the agreement of calculation versus experiments for a series of measured reaction rate detectors slopes. Future work involves comparison of results against a ... continued below

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Palmiotti, G.; Salvatores, M.; Hiruta, H.; Herman, M.; Oblozinsky, P. & Pigni, M. April 1, 2010.

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A new approach is proposed, the consistent data assimilation, that allows to link the integral data experiment results to basic nuclear parameters employed by evaluators to generate ENDF/B point energy files in order to improve them. A practical example is provided where the sodium neutron propagation experiments, EURACOS and JANUS-8, are used to improve via modifications of 23Na nuclear parameters (like scattering radius, resonance parameters, Optical model parameters, Statistical Hauser-Feshbach model parameters, and Preequilibrium Exciton model parameters) the agreement of calculation versus experiments for a series of measured reaction rate detectors slopes. Future work involves comparison of results against a more traditional multigroup adjustments, and extension to other isotope of interest in the reactor community as 56Fe, actinides, and fission products.

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  • ND2010 International Conference on Nuclear Data for Science & Technology,Juju Island, Korea,04/26/2010,04/30/2010

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  • Report No.: INL/CON-10-18506
  • Grant Number: DE-AC07-05ID14517
  • Office of Scientific & Technical Information Report Number: 983349
  • Archival Resource Key: ark:/67531/metadc1014285

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  • April 1, 2010

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  • Oct. 14, 2017, 8:36 a.m.

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  • Dec. 11, 2017, 2:21 p.m.

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Palmiotti, G.; Salvatores, M.; Hiruta, H.; Herman, M.; Oblozinsky, P. & Pigni, M. Use of Covariance Matrices in a Consistent (Multiscale) Data Assimilation for Improvement of Basic Nuclear Parameters in Nuclear Reactor Applications: From Meters to Femtometers, article, April 1, 2010; Idaho. (digital.library.unt.edu/ark:/67531/metadc1014285/: accessed September 23, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.