2018
DOI: 10.1016/j.anucene.2018.01.023
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The linear source approximation and particle conservation in the Method of Characteristics for isotropic and anisotropic sources

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Cited by 17 publications
(10 citation statements)
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“…The general method was simplified in the case of the isotropic and anisotropic LSA by Ferrer [49]; this also introduced the LS-P0 method, in which the isotropic source is spatially linear, but the anisotropic source components are spatially uniform within each cell. This LSA was also shown to be consistent with particle conservation under certain constraints and to be compatible with CMFD acceleration [50].…”
Section: Overviewsupporting
confidence: 53%
“…The general method was simplified in the case of the isotropic and anisotropic LSA by Ferrer [49]; this also introduced the LS-P0 method, in which the isotropic source is spatially linear, but the anisotropic source components are spatially uniform within each cell. This LSA was also shown to be consistent with particle conservation under certain constraints and to be compatible with CMFD acceleration [50].…”
Section: Overviewsupporting
confidence: 53%
“…Finally, not all linear source reconstructions capture correctly the asymptotic diffusion limit. In what follows, following Ferrer and Rhodes III [6,7], we first outline a general linear-reconstruction procedure for an arbitrary function that will yield a method able to capture the asymptotic diffusion limit. Later, we use this reconstruction for the emission source in the HO solver, and derive the corresponding moment tallies needed.…”
Section: Linear Source Approximation and Tallyingmentioning
confidence: 99%
“…( 24), effectively, we must be able to evaluate the source term Q LO (x p (t) , t) given LO quantities. A key consideration for the source evaluation is the need to capture the asymptotic diffusion limit (a critical numerical property [15,14,13]), for which a linear (or higher order) representation of the relevant quantities E and T is needed [5,6,7,25]. Here, we consider a linear source reconstruction.…”
Section: Linear Source Approximation and Tallyingmentioning
confidence: 99%
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“…In the MOC method, the centroids coordinates of a region can be calculated with a track-based method [11]. Fig.…”
Section: Track-based Centroid Calculationmentioning
confidence: 99%