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Detection Prospects of Core-Collapse Supernovae with Supernova-Optimized Third-Generation Gravitational-wave Detectors

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arxiv 1906.00084 v1 pith:NNTBWMDE submitted 2019-05-31 gr-qc astro-ph.HEastro-ph.IMphysics.ins-det

Varun Srivastava , Stefan Ballmer , Duncan A. Brown , Chaitanya Afle , Adam Burrows , David Radice , David Vartanyan This is my paper · ORCID
classification gr-qcastro-ph.HEastro-ph.IMphysics.ins-det
keywords gravitational-wavecore-collapsedetectorsthird-generationcorrespondingeventrangerate
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We optimize the third-generation gravitational-wave detector to maximize the range to detect core-collapse supernovae. Based on three-dimensional simulations for core-collapse and the corresponding gravitational-wave waveform emitted, the corresponding detection range for these waveforms is limited to within our galaxy even in the era of third-generation detectors. The corresponding event rate is two per century. We find from the waveforms that to detect core-collapse supernovae with an event rate of one per year, the gravitational-wave detectors need a strain sensitivity of 3$\times10^{-27}~$Hz$^{-1/2}$ in a frequency range from 100~Hz to 1500~Hz. We also explore detector configurations technologically beyond the scope of third-generation detectors. We find with these improvements, the event rate for gravitational-wave observations from CCSN is still low, but is improved to one in twenty years.

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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. Effects of Rotation on 3D Core-Collapse Supernova Models for Low-Mass Progenitors

    astro-ph.HE 2026-07 conditional novelty 5.0 of 10

    For a low-mass CCSN progenitor, rotation alone weakly and non-monotonically affects explosion energy and observables; only the fastest spin yields T/|W| spiral modes and spin-kick alignment, with core spin amplified by ~4000.

  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.

  4. Unveiling the Milky Way with a Gaia DR3 census of OB-type stars within 2 kpc. I. Tracing local Galactic structure, massive star-forming regions and core-collapse supernova progenitors

    astro-ph.GA 2026-07 conditional novelty 4.0 of 10

    A Gaia DR3-based census of 105,971 OB stars within 2 kpc maps local Galactic structure and identifies over 4,200 core-collapse supernova or black hole progenitor candidates.

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