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General Relativistic Magneto-Hydrodynamic Simulations with BAM: Implementation and Code Comparison

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arxiv 2407.20946 v1 pith:WRRENVAU submitted 2024-07-30 gr-qc astro-ph.HE

Anna Neuweiler , Tim Dietrich , Bernd Brügmann , Edoardo Giangrandi , Kenta Kiuchi , Federico Schianchi , Philipp Mösta , Swapnil Shankar
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Bruno Giacomazzo Masaru Shibata
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classification gr-qcastro-ph.HE
keywords codegrmhdsimulationsfieldsmagneticfindgeneralgood
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abstract

Binary neutron star mergers are among the most energetic events in our Universe, with magnetic fields significantly impacting their dynamics, particularly after the merger. While numerical-relativity simulations that correctly describe the physics are essential to model their rich phenomenology, the inclusion of magnetic fields is crucial for realistic simulations. For this reason, we have extended the BAM code to enable general relativistic magneto-hydrodynamic (GRMHD) simulations employing a hyperbolic `divergence cleaning' scheme. We present a large set of standard GRMHD tests and compare the BAM code to other GRMHD codes, SPRITZ, GRaM-X, and SACRA$_{\rm KK22}$, which employ different schemes for the evolution of the magnetic fields. Overall, we find that the BAM code shows a good performance in simple special-relativistic tests. In addition, we find good agreement and consistent results when comparing GRMHD simulation results between BAM and SACRA$_{\rm KK22}$.

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Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Numerical Relativity Simulations of Dark Matter Admixed Binary Neutron Stars

    astro-ph.HE 2025-04 conditional novelty 7.0 of 10

    First consistent numerical simulations of dark-matter-admixed neutron star mergers show that dark matter cores favor black hole collapse, halos form common envelopes, and standard tidal deformability calculations fail...

  2. GRACE: An Open-Source Framework for GPU-Accelerated Numerical Relativity

    gr-qc 2026-07 accept novelty 6.0 of 10

    GRACE is a validated, open-source, Kokkos+p4est GPU-portable framework that evolves ideal GRMHD with constrained transport self-consistently coupled to Z4c Einstein equations on fixed or adaptive meshes.

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