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Gmunu: Paralleled, grid-adaptive, general-relativistic magnetohydrodynamics in curvilinear geometries in dynamical spacetimes

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arxiv 2012.07322 v3 pith:DRI7CHID submitted 2020-12-14 astro-ph.IM astro-ph.HEgr-qc

Patrick Chi-Kit Cheong , Alan Tsz-Lok Lam , Harry Ho-Yin Ng , Tjonnie Guang Feng Li This is my paper · ORCID
classification astro-ph.IMastro-ph.HEgr-qc
keywords gmunumagnetohydrodynamicsmultigridcodeequationsgeneral-relativisticcurvilinearefficient
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We present an update of the General-relativistic multigrid numerical (Gmunu) code, a parallelized, multi-dimensional curvilinear, general relativistic magnetohydrodynamics code with an efficient non-linear cell-centred multigrid (CCMG) elliptic solver, which is fully coupled with an efficient block-based adaptive mesh refinement modules. Currently, Gmunu is able to solve the elliptic metric equations in the conformally flat condition (CFC) approximation with the multigrid approach and the equations of ideal general-relativistic magnetohydrodynamics by means of high-resolution shock-capturing finite volume method with reference-metric formularise multi-dimensionally in cartesian, cylindrical or spherical geometries. To guarantee the absence of magnetic monopoles during the evolution, we have developed an elliptical divergence cleaning method by using multigrid solver. In this paper, we present the methodology, full evolution equations and implementation details of our code Gmunu and its properties and performance in some benchmarking and challenging relativistic magnetohydrodynamics problems.

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Cited by 5 Pith papers

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