Connecting the hierarchically merging binary black hole population to their host galaxies

ABSTRACT The detection of gravitational waves from merging black holes with masses ${\sim} \, 80{\!-\!}150\, \mathrm{M_\odot }$ suggests that some proportion of black hole binary systems form hierarchically in dense astrophysical environments, as most stellar evolution models cannot explain the origin of these massive black holes through isolated binary evolution. A significant fraction of such mergers could occur in Active Galactic Nuclei (AGN) discs, however connecting individual black hole mergers to host galaxies is a challenging endeavour due to large localization uncertainties. We assess the feasibility of determining the fraction of hierarchically merging black hole binaries by computing the angular cross-correlation between gravitational wave localization posteriors and galaxy catalogue skymaps. We forecast when the clustering of gravitational wave sky localizations can be measured accurately enough to distinguish the AGN origin scenario from hierarchical mergers in galaxies that do not host AGN. We find that if the observed merging population is dominated by binaries formed dynamically in AGN, then this could be determined with $\mathcal {O}(5000)$ mergers detected at the sensitivity that is projected for the upcoming A# gravitational wave detectors.

Authors

Institutions

Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2025-09-22
DOI
https://doi.org/10.1093/mnras/staf1582
Citations
2
Primary Topic
Astrophysical Phenomena and Observations
Type
article
Field-Weighted Citation Impact
2.31

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Connecting the hierarchically merging binary black hole population to their host galaxies

F. H. Panther, Joan Moncrieff
2 citations
Monthly Notices of the Royal Astronomical Society
Astrophysical Phenomena and Observations
2.31
article

Connecting the hierarchically merging binary black hole population to their host galaxies

F. H. Panther, Joan Moncrieff
article en
2 citations

Abstract

ABSTRACT The detection of gravitational waves from merging black holes with masses ${\sim} \, 80{\!-\!}150\, \mathrm{M_\odot }$ suggests that some proportion of black hole binary systems form hierarchically in dense astrophysical environments, as most stellar evolution models cannot explain the origin of these massive black holes through isolated binary evolution. A significant fraction of such mergers could occur in Active Galactic Nuclei (AGN) discs, however connecting individual black hole mergers to host galaxies is a challenging endeavour due to large localization uncertainties. We assess the feasibility of determining the fraction of hierarchically merging black hole binaries by computing the angular cross-correlation between gravitational wave localization posteriors and galaxy catalogue skymaps. We forecast when the clustering of gravitational wave sky localizations can be measured accurately enough to distinguish the AGN origin scenario from hierarchical mergers in galaxies that do not host AGN. We find that if the observed merging population is dominated by binaries formed dynamically in AGN, then this could be determined with $\mathcal {O}(5000)$ mergers detected at the sensitivity that is projected for the upcoming A# gravitational wave detectors.

Monthly Notices of the Royal Astronomical SocietyVol. 543(2)
The University of Western Australia (AU), ARC Centre of Excellence for Gravitational Wave Discovery (AU)
Australian Government, Swinburne University of Technology
Openalex Percentile: Top 10%
Astrophysical Phenomena and Observations
2.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.