The population of merging compact binaries inferred using gravitational waves through GWTC-3
The LIGO Scientific Collaboration, the Virgo Collaboration, and the, KAGRA Collaboration: R. Abbott, T. D. Abbott, F. Acernese, K. Ackley, C., Adams, N. Adhikari, R. X. Adhikari, V. B. Adya, C. Affeldt, D. Agarwal, M., Agathos, K. Agatsuma, N. Aggarwal, O. D. Aguiar, L. Aiello

TL;DR
This paper analyzes gravitational-wave data from LIGO-Virgo to infer the rates and mass distributions of merging compact binaries, revealing their population characteristics and evolution over cosmic time.
Contribution
It provides the first comprehensive population inference of merging compact binaries using GWTC-3 data, including merger rates and mass distributions for black holes and neutron stars.
Findings
Binary neutron star merger rate between 10 and 1700 Gpc$^{-3}$ yr$^{-1}$
Binary black hole merger rate between 17.9 and 44 Gpc$^{-3}$ yr$^{-1}$ at z=0.2
Black hole mass distribution shows peaks at ~8.3 and ~28 solar masses
Abstract
We report on the population properties of compact binary mergers inferred from gravitational-wave observations of these systems during the first three LIGO-Virgo observing runs. The Gravitational-Wave Transient Catalog 3 contains signals consistent with three classes of binary mergers: binary black hole, binary neutron star, and neutron star-black hole mergers. We infer the binary neutron star merger rate to be between 10 and 1700 Gpc^{-1}^{-3} yr, assuming a constant rate density in the comoving frame and taking the union of 90% credible intervals for methods used in this work. We infer the binary black hole merger rate, allowing for evolution with redshift, to be between 17.9 and 44 Gpc yr at a fiducial redshift (z=0.2). The rate of binary black hole mergers is observed to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
