The isotropic diffusion source approximation for supernova neutrino transport
M. Liebendoerfer, S. C. Whitehouse, T. Fischer

TL;DR
This paper introduces an efficient approximation method for simulating neutrino transport in supernovae, balancing accuracy and computational feasibility by decomposing particle distributions and coupling their evolution.
Contribution
The paper presents the isotropic diffusion source approximation, a novel approach enabling multi-dimensional supernova neutrino transport simulations with reduced computational cost.
Findings
Good agreement with Boltzmann neutrino transport in spherical models
Efficient multi-dimensional extension discussed
Reduces computational complexity in supernova simulations
Abstract
Astrophysical observations originate from matter that interacts with radiation or transported particles. We develop a pragmatic approximation in order to enable multi-dimensional simulations with basic spectral radiative transfer when the computational resources are not sufficient to solve the complete Boltzmann transport equation. The distribution function of the transported particles is decomposed into trapped and streaming particle components. Their separate evolution equations are coupled by a source term that converts trapped particles into streaming particles. We determine this source term by requiring the correct diffusion limit. For a smooth transition to the free streaming regime, this 'diffusion source' is limited by the matter emissivity. The resulting streaming particle emission rates are integrated over space to obtain the streaming particle flux. A geometric estimate of…
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