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Computational Relativistic Astrophysics With Adaptive Mesh Refinement: Testbeds

Edwin Evans·Sai Iyer·Erik Schnetter·Wai-Mo Suen·Jian Tao·Randy Wolfmeyer·Hui-Min Zhang
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Abstract

We have carried out numerical simulations of strongly gravitating systems based on the Einstein equations coupled to the relativistic hydrodynamic equations using adaptive mesh refinement (AMR) techniques. We show AMR simulations of NS binary inspiral and coalescence carried out on a workstation having an accuracy equivalent to that of a $1025^3$ regular unigrid simulation, which is, to the best of our knowledge, larger than all previous simulations of similar NS systems on supercomputers. We believe the capability opens new possibilities in general relativistic simulations.

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Edwin Evans, Sai Iyer, Erik Schnetter, Wai-Mo Suen, Jian Tao, Randy Wolfmeyer, Hui-Min Zhang. 2005-03-03. Computational Relativistic Astrophysics With Adaptive Mesh Refinement: Testbeds. https://doi.org/10.1103/physrevd.71.081301

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