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June 12, 2026Monthly Notices of the Royal Astronomical Society0 citationsOpen Access

Identifying Host Galaxies of Binary Black Hole Mergers with Next-Generation Gravitational Wave Detector Networks

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SBSumedha BiswasALAndrew LevanPJPeter G Jonker

Key Points

  • The aim is to improve the identification of host galaxies for binary black hole mergers using future gravitational wave detector networks.
  • Simulated binary black hole mergers in nearby host galaxies (z < 0.25).
  • Constructed injection grids for variations in black hole mass, distance, and sensitivity.
  • Implemented parameter estimation using Fisher Information Matrix and BILBY.
  • Networks that include Einstein Telescope and Cosmic Explorer localize mergers to smaller volumes, implying unique host identification.
  • Unique host identification is possible out to ~1000 Mpc at an event rate of 100 per year.
  • Framework supports population-level analyses, enabling constraints on binary black hole formation scenarios.

Abstract

Abstract Identifying the host galaxy of a binary black hole (BBH) merger detected via gravitational waves (GWs) remains a challenge due to the absence of electromagnetic counterparts and the large localization volumes produced by current-generation detectors. A confident host association would provide stellar population properties to constrain BBH formation channels and enable measurements of cosmological parameters such as the Hubble constant, H0. We simulate BBH mergers in nearby (z 0.25) host galaxies to evaluate the feasibility of host identification with future GW detector networks, including configurations with the planned LIGO-India detector and third-generation detectors such as the Einstein Telescope (ET) and Cosmic Explorer (CE). We construct two injection grids to explore variations in BBH mass, distance, and directional sensitivity, and infer localization volumes using the Fisher Information Matrix (FIM)-based parameter estimation implemented through BILBY. To assess the prospects for unique host identification, we introduce a set of diagnostics: theoretical comoving volume thresholds, a metallicity-based volume threshold, stellar mass fractions, and the probability of chance alignment (pc). These metrics provide ways to evaluate host associations and constrain BBH formation channels. We find that networks that include ET and CE localize BBH mergers to volumes smaller than those theoretical thresholds, implying unique host identification, out to ~1000 Mpc at a rate of 100 yr−1. While associations for individual events may remain uncertain, our framework is well-suited to population-level analyses, enabling constraints on BBH formation scenarios in the era of next-generation GW networks.

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Cite This Study

Biswas et al. (2026) studied this question.

synapsesocial.com/papers/6a2ba2f68101cf8926f01d19https://doi.org/10.1093/mnras/stag1079
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