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Correlation diagnosis method for heterogeneous Monte Carlo eigenvalue simulations based on a diffusion approximation

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Abstract This paper presents a predictive model of the correlation level present in tally regions of any mesh size without requiring extensive high accuracy discrete tallies. This model provides a… Click to show full abstract

Abstract This paper presents a predictive model of the correlation level present in tally regions of any mesh size without requiring extensive high accuracy discrete tallies. This model provides a quick indication of the accuracy of the variance estimated from uncorrelated statistics. The prediction is developed from the generalization of the Multitype Branching Processes (MBP) model to a continuous space and solving correlation coefficients (and thus variance correction factors) exactly in an equivalent homogeneous problem. The real heterogeneous problem is homogenized in a way that preserves neutron migration area. Correlation coefficients and the asymptotic variance underestimation ratio of the homogenized problem provide a rough estimate of the correlations observed in the real heterogeneous problem for a given tally region size.

Keywords: diagnosis method; heterogeneous monte; problem; method heterogeneous; correlation diagnosis; correlation

Journal Title: Annals of Nuclear Energy
Year Published: 2019

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