First neural-network subgrid model for special relativistic MHD reproduces 4x-higher-resolution magnetic field amplification in 3D Kelvin-Helmholtz tests at 44x speedup.
A magnetar formation in binary neutron star merger
4 Pith papers cite this work. Polarity classification is still indexing.
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abstract
We conduct a global general relativistic neutrino-radiation-transfer magnetohydrodynamics simulation of a $1.35$-$1.35M_\odot$ binary neutron star with the unprecedented spatial resolution of $6.25$\,m on the Japanese supercomputer FUGAKU. The total consumed CPU time is $\approx 530$ million core hours. We initialize the binary neutron star's magnetic field to be $3.16\times 10^{12}$~G at maximum, which is compatible with the upper end of the observed binary pulsars. We demonstrate that the Kelvin-Helmholtz instability that emerges when the two neutron stars touch amplifies the magnetic field to an expected electromagnetic saturation energy of $\sim 10^{50}$~erg within $3$~ms after the merger. The spectral analysis indicates that the Kazantsev and Kolmogorov spectra are reproduced in the magnetic and kinetic power spectral densities, respectively. We also find that it induces stellar-scale magnetic field amplification by at least a factor of $316$. We conclude that a magnetar may form at least temporarily following neutron star mergers in a few ms.
fields
astro-ph.HE 4years
2026 4representative citing papers
Subsolar strange star mergers produce a lower post-merger-to-cutoff GW frequency ratio than neutron star mergers, cleanly separating the two classes across equations of state and mass ratios.
Improved Monte Carlo neutrino transport in BNS merger simulations that includes inelastic electron scattering and refined pair processes produces lower heavy-lepton neutrino energies/luminosities and 50% higher ejecta mass.
A Kokkos-based C++ port of the SACRA numerical relativity code achieves ~10x speedup on GPU/APU over the Fortran CPU version while preserving waveform accuracy, pi-symmetry, and second-order convergence.
citing papers explorer
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Subgrid Modelling for Relativistic Magnetohydrodynamics with Machine Learning
First neural-network subgrid model for special relativistic MHD reproduces 4x-higher-resolution magnetic field amplification in 3D Kelvin-Helmholtz tests at 44x speedup.
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Subsolar-mass binary mergers of strange stars and neutron stars: gravitational waves and ejecta
Subsolar strange star mergers produce a lower post-merger-to-cutoff GW frequency ratio than neutron star mergers, cleanly separating the two classes across equations of state and mass ratios.
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Impact of neutrino-electron scattering and an improved treatment of pair processes on binary neutron star mergers
Improved Monte Carlo neutrino transport in BNS merger simulations that includes inelastic electron scattering and refined pair processes produces lower heavy-lepton neutrino energies/luminosities and 50% higher ejecta mass.
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SACRA-K: A Performance-Portable Numerical Relativity Code with Kokkos
A Kokkos-based C++ port of the SACRA numerical relativity code achieves ~10x speedup on GPU/APU over the Fortran CPU version while preserving waveform accuracy, pi-symmetry, and second-order convergence.