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Hierarchical Inference of the Supermassive Black Hole Binary Merger Rates from Joint Searches using Pulsar Timing Arrays — arXiv:2609.09086

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.09086
License (as archived): CC0-1.0
Archived: 2026-10-16T16:07:06.828Z
SHA-256 of the archived text: 9ea955e520d6b4f24435c829131f1634582ce9d57b7b788bc7ca1def9d2c95f0
Stable URL of this page: https://metraipolis.com/documento/dc_72bed2d443ef

How to cite

Hierarchical Inference of the Supermassive Black Hole Binary Merger Rates from Joint Searches using Pulsar Timing Arrays — arXiv:2609.09086 — arXiv (en), https://arxiv.org/abs/2609.09086 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_72bed2d443ef (Metraipolis archive dc_72bed2d443ef, sha256 9ea955e520d6b4f24435c829131f1634582ce9d57b7b788bc7ca1def9d2c95f0)

BibTeX

@misc{dc72bed2d443ef,
  title = {Hierarchical Inference of the Supermassive Black Hole Binary Merger Rates from Joint Searches using Pulsar Timing Arrays — arXiv:2609.09086},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.09086},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_72bed2d443ef; sha256 9ea955e520d6b4f24435c829131f1634582ce9d57b7b788bc7ca1def9d2c95f0},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.09086. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Gravitational-wave searches do more than identify individual sources - they provide a way to infer the underlying astrophysical populations that produce them. Currently, Pulsar Timing Arrays (PTAs) constrain the supermassive black-hole binary (SMBHB) merger-rate density through both the stochastic gravitational-wave background (SGWB) and searches for individual SMBHB signals. The latter implies converting source upper limits into rate upper limits using detection efficiencies estimated empirically. We instead develop a hierarchical Bayesian framework that places the SMBHB merger-rate density model directly inside the PTA likelihood. The unknown catalog of individual SMBHB merger signals is modeled as a Poisson point process on source-parameter space, so that the number of merger signals is inferred from the data rather than imposed by a detection threshold. We describe two computational routes: a catalog-marginal likelihood based on analyses with fixed numbers of candidate sources, and an explicit transdimensional sampling approach that jointly samples population hyperparameters, latent merger signals, and noise. We validate the method with a toy merger-only population model and then apply it to an astrophysical SMBHB merger-rate density model that jointly predicts the SGWB amplitude and the expected merger-catalog size. In simulations, an individual merger signal adds complementary information to the SGWB and can tighten constraints on the merger-rate population.

Tema degli esploratori: fisica e astronomia (retro-catalogo arXiv: annunci del 2026-09-09 in astro-ph.IM).
Categorie arXiv: High Energy Astrophysical Phenomena (astro-ph.HE) ; Instrumentation and Methods for Astrophysics (astro-ph.IM); General Relativity and Quantum Cosmology (gr-qc).
Pagina del lavoro: https://arxiv.org/abs/2609.09086 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-16T15:48:26.464Z dalla pagina https://arxiv.org/catchup/astro-ph.IM/2026-09-09?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).