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Radiative cooling in numerical astrophysics: The need for adaptive mesh refinement

โœ Scribed by Allard Jan van Marle; Rony Keppens


Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
917 KB
Volume
42
Category
Article
ISSN
0045-7930

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โœฆ Synopsis


Energy loss through optically thin radiative cooling plays an important part in the evolution of astrophysical gas dynamics and should therefore be considered a necessary element in any numerical simulation. Although the addition of this physical process to the equations of hydrodynamics is straightforward, it does create numerical challenges that have to be overcome in order to ensure the physical correctness of the simulation. First, the cooling has to be treated (semi-)implicitly, owing to the discrepancies between the cooling timescale and the typical timesteps of the simulation. Secondly, because of its dependence on a tabulated cooling curve, the introduction of radiative cooling creates the necessity for an interpolation scheme. In particular, we will argue that the addition of radiative cooling to a numerical simulation creates the need for extremely high resolution, which can only be fully met through the use of adaptive mesh refinement.


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An Adaptive Mesh Refinement Algorithm fo
โœ J.Patrick Jessee; Woodrow A. Fiveland; Louis H. Howell; Phillip Colella; Richard ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 600 KB

The discrete ordinates form of the radiative transport equation (RTE) is spatially discretized and solved using an adaptive mesh refinement (AMR) algorithm. This technique permits local grid refinement to minimize spatial discretization error of the RTE. An error estimator is applied to define regio