VETTAM: A scheme for radiation hydrodynamics with adaptive mesh refinement using the variable Eddington tensor method
Shyam H. Menon, Christoph Federrath, Mark R. Krumholz, Rolf Kuiper,, Benjamin D. Wibking, Manuel Jung

TL;DR
VETTAM introduces a novel radiation hydrodynamics algorithm with adaptive mesh refinement using a variable Eddington tensor closure, enabling accurate modeling of radiation-gas interactions across different regimes.
Contribution
The paper presents VETTAM, a new AMR-compatible RHD scheme employing a non-local VET closure with hybrid ray tracing, improving accuracy and robustness over simpler closure methods.
Findings
Successfully captures streaming, diffusion, and transition regimes.
Produces sharp shadows and accurate momentum/energy exchange rates.
Demonstrates robustness through extensive tests.
Abstract
We present Variable Eddington Tensor-closed Transport on Adaptive Meshes (\texttt{VETTAM}), a new algorithm to solve the equations of radiation hydrodynamics (RHD) with support for adaptive mesh refinement (AMR) in a frequency-integrated, two-moment formulation. The method is based on a non-local Variable Eddington Tensor (VET) closure computed with a hybrid characteristics scheme for ray tracing. We use a Godunov method for the hyperbolic transport of radiation with an implicit backwards-Euler temporal update to avoid the explicit timestep constraint imposed by the light-crossing time, and a fixed-point Picard iteration scheme to handle the nonlinear gas-radiation exchange term, with the two implicit update stages jointly iterated to convergence. We also develop a modified wave-speed correction method for AMR, which we find to be crucial for obtaining accurate results in the diffusion…
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