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Application of perturbation theory methods to nuclear data uncertainty propagation using the collision probability method

Abstract : This dissertation presents a comprehensive study of sensitivity/uncertainty analysis for reactor performance parameters (e.g. the k-effective) to the base nuclear data from which they are computed. The analysis starts at the fundamental step, the Evaluated Nuclear Data File and the uncertainties inherently associated with the data they contain, available in the form of variance/covariance matrices. We show that when a methodical and consistent computation of sensitivity is performed, conventional deterministic formalisms can be sufficient to propagate nuclear data uncertainties with the level of accuracy obtained by the most advanced tools, such as state-of-the-art Monte Carlo codes. By applying our developed methodology to three exercises proposed by the OECD (UACSA Benchmarks), we provide insights of the underlying physical phenomena associated with the used formalisms.
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Pouya Sabouri. Application of perturbation theory methods to nuclear data uncertainty propagation using the collision probability method. Other. Université de Grenoble, 2013. English. ⟨NNT : 2013GRENI071⟩. ⟨tel-00986832v2⟩

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