Adaptive Mesh Refinement and Relativistic MHD
David Neilsen, Eric W. Hirschmann, Matthew Anderson, and Steven L., Liebling
TL;DR
This paper presents a parallel adaptive mesh refinement code for solving general relativistic magnetohydrodynamics equations, demonstrating its scalability and applying it to simulate astrophysical phenomena like accretion and neutron stars.
Contribution
It introduces a new parallel adaptive mesh refinement implementation for relativistic MHD and showcases its application to astrophysical simulations.
Findings
The code scales well on distributed systems.
Successful simulation of Michel accretion.
Evolution of a TOV star demonstrated.
Abstract
We solve the general relativistic magnetohydrodynamics equations using distributed parallel adaptive mesh refinement. We discuss strong scaling tests of the code, and present evolutions of Michel accretion and a TOV star.
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