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

机译:基于扩散近似的异构蒙特卡洛特征值模拟的相关诊断方法

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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. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文提出了一种预测模型,该模型在任何网格大小的理货区域中都存在相关水平,而无需广泛的高精度离散计数。该模型提供了从不相关统计估计的方差准确性的快速指示。该预测是从多类型分支过程(MBP)模型的泛化到连续空间并精确地在等效齐次问题中求解相关系数(从而解决方差校正因子)而开发的。真正的非均质问题以保留中子迁移面积的方式均匀化。均质化问题的相关系数和渐近方差低估比提供了对于给定理货区域大小在实际异质性问题中观察到的相关性的粗略估计。 (C)2019 Elsevier Ltd.保留所有权利。

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