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"Mariage des Maillages": A new numerical approach for 3D relativistic core collapse simulations

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arxiv astro-ph/0407174 v2 pith:KAAW5JS4 submitted 2004-07-08 astro-ph gr-qc

classification astro-phgr-qc
keywords approachcollapsecoreequationsgridmetricrelativisticdifference
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We present a new 3D general relativistic hydrodynamics code for simulations of stellar core collapse to a neutron star, as well as pulsations and instabilities of rotating relativistic stars. It uses spectral methods for solving the metric equations, assuming the conformal flatness approximation for the three-metric. The matter equations are solved by high-resolution shock-capturing schemes. We demonstrate that the combination of a finite difference grid and a spectral grid can be successfully accomplished. This "Mariage des Maillages" (French for grid wedding) approach results in high accuracy of the metric solver and allows for fully 3D applications using computationally affordable resources, and ensures long term numerical stability of the evolution. We compare our new approach to two other, finite difference based, methods to solve the metric equations. A variety of tests in 2D and 3D is presented, involving highly perturbed neutron star spacetimes and (axisymmetric) stellar core collapse, demonstrating the ability to handle spacetimes with and without symmetries in strong gravity. These tests are also employed to assess gravitational waveform extraction, which is based on the quadrupole formula.

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Cited by 3 Pith papers

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

  1. Universal relations applied to proto-neutron star generated gravitational waves from three-dimensional core collapse supernova simulations

    gr-qc 2026-07 conditional novelty 5.0 of 10

    Against four Chimera core-collapse supernova simulations, most published universal relations for proto-neutron-star oscillations track the simulated gravitational-wave peak frequencies only during short post-bounce intervals.

  2. Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves

    astro-ph.HE 2026-03 conditional novelty 4.5 of 10

    Using a linear SVM, EOS classification from bounce gravitational waves remains robust to real noise, progenitor diversity, and bounce-time uncertainty in the frequency domain, but collapses in the time domain under ti...

  3. Parameter Estimation Horizon of Core-Collapse Supernovae with a Network of Gravitational-Wave Detectors

    astro-ph.HE 2026-08 conditional novelty 4.0 of 10

    A CNN can recover supernova peak frequency out to about 30 kpc and rotation/amplitude out to 200-250 kpc with current networks, extending to roughly 300 kpc and 2-2.5 Mpc with third-generation detectors.

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