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Retroactive Generation of Covariance Matrix of Nuclear Model Parameters Using Marginalization Techniques

B. Habert, C. De Saint Jean, G. Noguere, L. Leal, Y. Rugama

Nuclear Science and Engineering / Volume 166 / Number 3 / Pages 276-287

November 2010

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An uncertainty propagation methodology relying on marginalization techniques was recently developed to produce covariance matrices between existing model parameters involved in describing neutron-induced reactions. This work has been implemented in the nuclear data assimilation tool CONRAD. The performance of the code was demonstrated through simplified test cases based on a Reich-Moore description of the 155Gd(n,) reaction. Results are compared with those produced via Monte Carlo techniques.

 
 
 
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