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Impact of correlations between core configurations for the evaluation of nuclear data uncertainty propagation for reactivity

Abstract : The precise estimation of Pearsons correlations, also called “representativity” coefficients, between core configurations is a fundamental quantity for properly assessing the nuclear data (ND) uncertainties propagation on integral parameters such as k-eff, power distributions, or reactivity coefficients. In this paper, a traditional adjoint method is used to propagate ND uncertainty on reactivity and reactivity coefficients and estimate correlations between different states of the core. We show that neglecting those correlations induces a loss of information in the final uncertainty. We also show that using approximate values of Pearson does not lead to an important error of the model. This calculation is made for reactivity at the beginning of life and can be extended to other parameters during depletion calculations.
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Thomas Frosio, Patrick Blaise, Thomas Bonaccorsi. Impact of correlations between core configurations for the evaluation of nuclear data uncertainty propagation for reactivity. EPJ N - Nuclear Sciences & Technologies, EDP Sciences, 2017, 3, pp.6. ⟨10.1051/epjn/2016039⟩. ⟨cea-02381386⟩

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