3D full-GR simulations of magnetorotational core-collapse supernovae on GPUs a systematic study of rotation rates and magnetic fields

Open Access
Authors
Publication date 05-2026
Journal Monthly Notices of the Royal Astronomical Society
Article number stag646
Volume | Issue number 548 | 2
Number of pages 19
Organisations
  • Faculty of Science (FNWI) - Anton Pannekoek Institute for Astronomy (API)
Abstract
We present a series of fully three-dimensional high-resolution dynamical-spacetime general-relativistic magnetohydrodynamics (GRMHD) simulations of core-collapse supernovae (CCSNe) for a progenitor of zero-age main-sequence (ZAMS) mass 25M⊙⁠. We simulate a total of 12 models to systematically study the effect of rotation rates and magnetic fields on jet formation via the magnetorotational mechanism. We have performed simulations on OLCF’s Frontier using the new GPU-accelerated dynamical-spacetime GRMHD code GRaM-X for magnetic fields B0 = (1011, 1012) G and rotation rates Ω0 = (0.14, 0.5, 1.0, 1.5, 2.0, 25) rad s-1⁠. We find that models with B0 = 1011 G fail to explode, while those with B0 = 1012 G show a wide range of jet morphologies and explosive outcomes depending on the rotation rate. Models with B0 = 1012 G⁠, which have Ω0 = (0.14, 0.5) rad s-1⁠, also fail to explode. Models with B0 = 1012 G and Ω0 = (1.0, 1.5) rad S-1 form tilted jets, giving the ejecta a more spherical character, but one also different from predominantly neutrino-driven explosions. Models with B0 = 1012 G and Ω0 ≥ 2.0 rad s-1 form jets that show ejecta velocities ≳ 15 000 km s-1⁠, making them suitable candidates for broad-lined Type Ic supernova progenitors. We also perform comparison lower resolution simulations. While average shock radii, protoneutron star (PNS) magnetic fields, PNS rotation rates, and the kink instability have similar behaviour as in high-resolution simulations, the ejecta mass and energy are
times lower. This work represents the largest set of 3D GRMHD simulations studying magnetorotational supernovae in full GR and demonstrates the potential of systematic studies with GPU-accelerated 3D simulations of CCSNe.
Document type Article
Language English
Published at
https://doi.org/10.1093/mnras/stag646 (Final published version)
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