Difference between revisions of "ET Workshop Fall 2011 RAD"
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| − | Possibilities | + | ==Possibilities== |
| + | * Leakage scheme | ||
| + | ** very ad-hoc | ||
| + | ** only mimicks loss due to radiation | ||
* Diffusion equation | * Diffusion equation | ||
** accurate only when mean free path is really short | ** accurate only when mean free path is really short | ||
** almost always implicit to avoid strong CFL limit | ** almost always implicit to avoid strong CFL limit | ||
| + | ** cheap, usually inaccurate | ||
| + | * Flux limited diffusion | ||
| + | ** Diffusion + "trick" at lower optical depths | ||
| + | ** also simple, and has been used for supernovae simulations | ||
| + | ** unclear if working in GR | ||
| + | ** limits radiation speed: ad-hoc | ||
| + | ** also not very accurate | ||
| + | * Two-Moment-Scheme / Truncated moment scheme | ||
| + | ** start with Boltzmann equation | ||
| + | ** decompose into moments | ||
| + | ** truncate series | ||
| + | ** close using some prescription (approximate the rest of the series) | ||
| + | * Full Transport equation | ||
| + | ** Full discretization of Boltzmann equation | ||
| + | ** extremely complex | ||
| + | ** used, e.g., in reactor simulations | ||
| + | ** SN/PN discretize equation in different way | ||
| + | ** SN not scaling well | ||
| + | ** PN might work better | ||
| + | * Monte-Carlo | ||
| + | ** no equations, direct simulations | ||
| + | ** very simple to implement complicated processes | ||
| + | ** more expensive | ||
| + | ** given enough computational power, very accurate | ||
| + | ** in 3D competitive with other methods in terms of computational needs | ||
| + | |||
| + | ==Implementations in "GR"== | ||
| + | * Shibata et al. | ||
| + | ** Leakage | ||
| + | ** Truncated Moment Formalism | ||
| + | * Shapiro et al. | ||
| + | ** Diffusion approximation, grey, 3D | ||
| + | * Garching | ||
| + | ** Full Boltzmann transport | ||
| + | ** 1D, ray-by-ray | ||
| + | * Caltech / Cactus | ||
| + | ** Leakage scheme | ||
| + | ** Monte-Carlo | ||
| + | *** 1D only | ||
| + | * AEI | ||
| + | ** Leakage | ||
Latest revision as of 16:31, 2 November 2011
Possibilities
- Leakage scheme
- very ad-hoc
- only mimicks loss due to radiation
- Diffusion equation
- accurate only when mean free path is really short
- almost always implicit to avoid strong CFL limit
- cheap, usually inaccurate
- Flux limited diffusion
- Diffusion + "trick" at lower optical depths
- also simple, and has been used for supernovae simulations
- unclear if working in GR
- limits radiation speed: ad-hoc
- also not very accurate
- Two-Moment-Scheme / Truncated moment scheme
- start with Boltzmann equation
- decompose into moments
- truncate series
- close using some prescription (approximate the rest of the series)
- Full Transport equation
- Full discretization of Boltzmann equation
- extremely complex
- used, e.g., in reactor simulations
- SN/PN discretize equation in different way
- SN not scaling well
- PN might work better
- Monte-Carlo
- no equations, direct simulations
- very simple to implement complicated processes
- more expensive
- given enough computational power, very accurate
- in 3D competitive with other methods in terms of computational needs
Implementations in "GR"
- Shibata et al.
- Leakage
- Truncated Moment Formalism
- Shapiro et al.
- Diffusion approximation, grey, 3D
- Garching
- Full Boltzmann transport
- 1D, ray-by-ray
- Caltech / Cactus
- Leakage scheme
- Monte-Carlo
- 1D only
- AEI
- Leakage