1978
DOI: 10.1016/0022-4073(78)90024-9
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Maximum entropy Eddington factors

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Cited by 285 publications
(318 citation statements)
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“…We employ the Minerbo closure to interpolate between the optically thick and thin limits of the radiation pressure tensor and third-order radiation moment in the fluid rest frame (Minerbo 1978). This is similar to the approaches discussed in Shibata et al (2011) andCardall et al (2013) and used in Just et al (2015), O'Connor & Couch (2015), and Kuroda et al (2016).…”
Section: Methods and Setupmentioning
confidence: 99%
“…We employ the Minerbo closure to interpolate between the optically thick and thin limits of the radiation pressure tensor and third-order radiation moment in the fluid rest frame (Minerbo 1978). This is similar to the approaches discussed in Shibata et al (2011) andCardall et al (2013) and used in Just et al (2015), O'Connor & Couch (2015), and Kuroda et al (2016).…”
Section: Methods and Setupmentioning
confidence: 99%
“…Diffusion [15,12,14,11,9,43,25,38,6,5,31,35,44,46,27,37,1,42,41,28] 3. Spherical Harmonics (P N ) [7,10,40,13] 4.…”
Section: The Approximationsmentioning
confidence: 99%
“…where the Eddington tensor χ is a nonlinear function of E. There are many different closures for χ that have been proposed [38,35,31,44,25,30]. The flux limited diffusion equations are arrived at by further assuming that Eddington factor χ is "isotropic" (χ = χI), that χ varies slowly with space, and that the approximation in Eq.…”
Section: Flux Limited Diffusion and Variable Eddington Factorsmentioning
confidence: 99%
“…In order to solve such an undertermined system, one typically closes it by expressing the moment ψ 2 as a function of ψ 0 and ψ 1 . For the present application, the entropy-based closure ( [13]) was prefered as it provides desirable properties (hyperbolicity, entropy decay, correct modelling of beams). This closure, leading to the so-called M 1 closure, consists in defining ψ 2 as the second order moment of the ansatz ψ M 1 minimizing Boltzmann entropy under the following constraints…”
Section: The M 1 Modelmentioning
confidence: 99%