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Universal relation for supernova gravitational waves

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arxiv 2110.03131 v3 pith:4DBHE7MZ submitted 2021-10-07 astro-ph.HE

classification astro-ph.HE
keywords gravitationaldensitysupernovaaveragefundamentalgravitymodelsnumerical
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Using the numerical simulation data for two-dimensional core-collapse supernova, we examine the protoneutron star (PNS) asteroseismology with the relativistic Cowling approximation. As shown in the previous study, the gravitational wave signals appearing in the numerical simulation can be well identified with the gravity (fundamental) oscillation in the early (later) phase before (after) the avoided crossing between the gravity and fundamental oscillations. On the other hand, the time evolution of supernova gravitational waves strongly depends on the PNS models, such as the progenitor mass and the equation of state for dense matter. Nevertheless, we find that the fundamental and gravity mode frequencies according to the gravitational wave signals appearing in the numerical simulations can be expressed as a function of the protoneutron star average density independently of the PNS models. Using the average density, we derive the empirical formula for supernova gravitational wave frequency. In addition, we confirm that the dependence of the PNS surface density on the PNS average density is almost independent of the PNS models and also discuss how the different treatment of the non-uniform matter in the equation of state affects the observables.

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Cited by 4 Pith papers

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

  1. The Gravitational-Wave Power Gap in Core-Collapse Supernovae: Insights from 60 Axisymmetric Simulations

    astro-ph.HE 2026-03 conditional novelty 6.0 of 10

    The gravitational-wave power-gap frequency in core-collapse supernova simulations correlates with inner protoneutron-star properties and may arise from Fano-type interference.

  2. Reconstructing Core-Collapse Supernova Gravitational-Wave Signals with Transdimensional Bayesian Inference

    astro-ph.HE 2026-08 conditional novelty 5.0 of 10

    Transdimensional Bayesian inference with tBilby reconstructs core-collapse supernova gravitational-wave signals in simulated LIGO noise with overlaps up to 85%, and captures the dominant proto-neutron-star mode even a...

  3. 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.

  4. 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...

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