GWTC-4 data reveals three sub-populations of binary black holes with distinct delay-time distributions that depend on mass above 45 solar masses, mass-ratio, and spin, ruling out a single universal merger rate.
2025 a , GWTC-4.0: Parameter estimation data release , 10.5281/zenodo.17014085
8 Pith papers cite this work, alongside 5 external citations. Polarity classification is still indexing.
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2026 8representative citing papers
No three-body encounter signatures detected in GW170817, GW190814, and GW230627_015337, constraining intermediate-mass black holes above 100 solar masses within roughly 0.1 AU of these binaries.
Single-event GW parameter estimates under reference priors are population-biased; hierarchical, population-informed re-analysis is needed and changes the identification of the most extreme black holes in the catalog.
BBH-Genesis applied to GWTC-4 finds strongest support for a two-channel model of binary black hole populations with possible mild evidence for an AGN-related third channel.
Dual-model analysis of 162 GW sources disfavors eccentricity for most events but finds potential evidence in GW200129, GW231001, and GW231123.
A neural network is trained to predict probabilities for lower mass gap components and neutron star involvement in gravitational-wave candidates, with reported mean errors of 9% and 6% on O4a events.
No significant cosmological anisotropy is found in the latest GW O4a and GRBWeb datasets using angular power spectra and two-point correlation functions, consistent with the cosmological principle.
Describes the methods for producing the fifth gravitational-wave transient catalog (GWTC-5.0) from O4b data of LIGO, Virgo and KAGRA.
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Training a neural network to rapidly identify candidate gravitational-wave events in the lower mass gap
A neural network is trained to predict probabilities for lower mass gap components and neutron star involvement in gravitational-wave candidates, with reported mean errors of 9% and 6% on O4a events.