wiki:FluxLimitedDiffusion

Version 8 (modified by Jonathan, 12 years ago) ( diff )

Physics of Radiation Transfer

streaming limit
static diffusion limit
dynamic diffusion limit

Equations of Radiation Hydrodynamics

where

and

Simplifying assumptions

  • If the flux spectrum of the radiation is direction-independent then we can write the radiation four-force density in terms of the moments of the radiation field

where

comoving-frame Planck function weighted opacity
comoving-frame radiation energy weighted opacity
comoving-frame radiation flux weighted opacity
  • If the radiation has a blackbody spectrum then
  • If the radiation is optically thick, then

which implies that
  • In the optically thin regime, so we would have however assuming a blackbody temperature in the optically thin limit may be any more accurate than assuming that

Flux limited diffusion

The flux limited diffusion approximation drops the radiation momentum equation in favor of

where is the flux-limiter

which corresponds to a pressure tensor

If we Lorentz boost the comoving terms into the lab frame and keep terms necessary to maintain accuracy we get:

which if we plug back into the gas equations and keep terms necessary to maintain accuracy we get:

For static diffusion, the terms in blue with v2/c can be dropped and the system can be split into the usual hydro update (black), radiative source terms (green) using time centered radiation energy, and a coupled implicit solve (red) for the radiation energy density and thermal energy density (ie temperature). If the opacity is independent of temperature and radiation energy density, then the implicit solve only involves the radiation energy density. Otherwise some sort of sub-cycling would be required.

For now we will assume that and are constant over the implicit update. In this case we can solve the radiation energy equation:

Which we can discretize for (1D) as

where

represents the number of absorption/emissions during the time step

and the diffusion coefficient is given by

where

This gives matrix coefficients

and for 2D the matrix coefficients would be

and the source term would be unchanged from 1D

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