GWTC-4.0: Population Properties of Merging Compact Binaries
astro-ph.HE, gr-qc
Submitted: 2025-08-25
Updated: 2025-09-17
Comments: As part of the Astrophysical Journal Letters Focus Issue on the Gravitational Wave Transient Catalog
Journal ref: Astrophys. J. Lett. 1005, L51 (2026)
Code: https://github.com/oogle/jax
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- GWTC-4.0: An Introduction to Version 4.0 of the Gravitational-Wave Transient Catalog
- GWTC-4.0: Methods for Identifying and Characterizing Gravitational-wave Transients
- GWTC-4.0: Updating the Gravitational-Wave Transient Catalog with Observations from the First Part of the Fourth LIGO-Virgo-KAGRA Observing Run
- Open Data from LIGO, Virgo, and KAGRA through the First Part of the Fourth Observing Run
- GW231123: a Binary Black Hole Merger with Total Mass 190-265 $M_{\odot}$
- Inferring the pair-instability mass gap from gravitational wave data
- Revising the Spin and Kick Connection in Isolated Binary Black Holes
- Structure and Skewness of the Effective Inspiral Spin Distribution of Binary Black Hole Mergers
- GstLAL: A software framework for gravitational wave discovery
- Normal Approximate Likelihoods to Gravitational Wave Events
- Precision Requirements for Monte Carlo Sums within Hierarchical Bayesian Inference
- Compact Binary Coalescence Sensitivity Estimates with Injection Campaigns during the LIGO-Virgo-KAGRA Collaborations' Fourth Observing Run
- Gravitational lensing rarely produces high-mass outliers to the compact binary population
- Hints of spin-magnitude correlations and a rapidly spinning subpopulation of binary black holes
- Cosmic Cousins: Identification of a Subpopulation of Binary Black Holes Consistent with Isolated Binary Evolution
- New Methods for Offline GstLAL Analyses
- How Many Times Should We Matched Filter Gravitational Wave Data? A Comparison of GstLAL's Online and Offline Performance
- Wavescan: multiresolution regression of gravitational-wave data
- Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro
- Formation and Evolution of Binary Neutron Stars
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