{
  "abstract": "Core-collapse supernovae are among the most promising yet still undetected sources of gravitational waves. A future detection would provide a direct view of the physical processes occurring deep inside a collapsing star. In this work, we investigate how networks of current and future gravitational-wave detectors can constrain the properties of rapidly rotating core-collapse supernovae using their characteristic core-bounce and early post-bounce signals. Using deep-learning techniques, we estimate the peak frequency, rotation rate, and signal amplitude from noisy detector data and compare the performance of different detector-network configurations. We find that detector networks improve both parameter recovery and sky coverage. For current-generation networks, estimation of the peak frequency is possible out to about 15 kpc, while the rotation rate remains recoverable out to distances exceeding 100 kpc. Third-generation observatories extend these distances by approximately a factor of three to four.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2608.01634",
  "author_total": 6,
  "authors": [
    {
      "name": "Almat Akhmetali"
    },
    {
      "name": "Y. Sultan Abylkairov"
    },
    {
      "name": "Solange Nunes"
    },
    {
      "name": "José Antonio Font"
    },
    {
      "name": "Michele Zanolin"
    },
    {
      "name": "Ernazar Abdikamalov"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/dxmzy4e3tac6y.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2608.01634",
  "fulltext_url": null,
  "id": "dxmzy4e3tac6y",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2608.01634",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "astro-ph.CO"
    ],
    [
      "arxiv",
      "astro-ph.HE"
    ],
    [
      "arxiv",
      "astro-ph.IM"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2608.01634",
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-04",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/dxmzy4e3tac6y.ris",
  "sources": [
    {
      "first_seen": "2026-11-05T15:20:56Z",
      "native_id": "2608.01634",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2608.01634"
    }
  ],
  "subjects": [
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.CO",
      "subfield": "cosmology"
    },
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.HE",
      "subfield": "high-energy-astrophysics"
    },
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.IM",
      "subfield": "instrumentation-methods"
    }
  ],
  "title": "Inferring Properties of Rotating Core-Collapse Supernovae with Gravitational-Wave Detector Networks",
  "title_text": "Inferring Properties of Rotating Core-Collapse Supernovae with Gravitational-Wave Detector Networks",
  "type": "preprint",
  "updated_at": "2026-11-09T00:20:12Z",
  "url": "https://research.draconitic.com/paper/dxmzy4e3tac6y",
  "venue": "arXiv",
  "versions": [
    {
      "doi": "10.1103/sb1l-cx62",
      "pid": null,
      "relation": "published-as",
      "title": null,
      "venue": null
    }
  ]
}