A Monte Carlo Approach to Nuclear Model Parameter Uncertainties Propagation

作者：De Saint Jean Cyrille^*; Noguere Gilles; Habert Benoit; Iooss Bertrand

来源：Nuclear Science and Engineering, 2009, 161(3): 363-370.

DOI：10.13182/nse161-363

The evaluation of neutron cross sections in the low energy range (electron volt, mega-electron-volt) is based on formal nuclear models having different types of parameters. Some of them may befitted to reproduce experimental datasets giving rise to an adjusted covariance matrix. In this paper, a Monte Carlo method is presented to properly consider the influence of the remaining parameters, having a priori uncertainties, on the fitted parameters covariances. This method is based on an exact mathematical description using conditional probabilities. To explain the key points of the methodology, an academic example of average parameters evaluation in the unresolved resonance range is presented using Hauser-Feshbach model calculations.

• 出版日期2009-3
• 单位中国地震局