Our Research

Our work focuses on extracting astrophysical insights from the gravitational wave signatures of compact binary mergers. We develop and apply advanced statistical and machine learning techniques, including nonparametric models, to infer the population properties of binary black holes and neutron stars. Our research explores the astrophysical origins of these systems by mapping their mass and spin distributions. Recent projects include finding evidence for the pair-instability supernova mass gap, identifying distinct subpopulations consistent with isolated binary evolution, and investigating the impact of massive star wind mass-loss rates on merger rates.

Software

GWInferno Logo

A Python package for Gravitational-Wave Hierarchical Inference with NumPyro. It provides an efficient, JAX-accelerated framework for inferring the population properties of compact objects from gravitational wave catalogs.

COMPAS Logo

A rapid binary population synthesis suite. While we do not lead the development of COMPAS, we contribute by modernizing the massive star wind mass-loss prescriptions used in the library (see Merritt et al. 2025).

Recent Publications

GWTC-4.0: Population Properties of Merging Compact Binaries

DOI: 10.48550/arXiv.2508.18083

We detail the population properties of merging compact objects using 158 mergers from the cumulative Gravitational-Wave Transient Catalog 4.0, which includes three types of binary mergers: binary neutron star, neutron star--black hole binary, and binary black hole mergers. We resolve multiple over- and under-densities in the black hole mass distribution: features persist at primary masses of 10 M_sun and 35 M_sun with a possible third feature at ~20 M_sun.

Evidence of the pair instability gap in the distribution of black hole masses

DOI: 10.21203/rs.3.rs-7535991/v1

Stellar theory predicts a forbidden range of black-hole masses between ~50--130 M_sun due to pair-instability supernovae, but evidence for such a gap in the mass distribution has proved elusive. Here, we report evidence of the pair-instability gap in LIGO--Virgo--KAGRA's fourth gravitational wave transient catalog, with a lower boundary of 45 M_sun. We interpret these findings as evidence for a subpopulation of hierarchical mergers.

Implications of modern mass-loss rates for massive stars

DOI: 10.48550/arXiv.2507.17052

Massive stars lose a significant fraction of their mass through stellar winds at various stages of their lives. In the last decade, the theoretical predictions, simulation, and direct observation of wind mass-loss rates in massive stars have improved significantly. We explore the astrophysical implications of an updated treatment of winds in the COMPAS population synthesis code, finding that formation rates of merging binary black holes are sensitive to the mass-loss rate prescriptions.

Cosmic Cousins: Identification of a Subpopulation of Binary Black Holes Consistent with Isolated Binary Evolution

DOI: 10.48550/arXiv.2304.01288

We search for subpopulations in the LVK's third gravitational wave transient catalog by incorporating discrete latent variables in the hierarchical Bayesian inference framework. By incorporating formation channel knowledge within the mass and spin correlations found in each category, we find an over density of mergers with a primary mass of ~10 M_sun, consistent with isolated binary formation.

Cover Your Basis: Comprehensive Data-driven Characterization of the Binary Black Hole Population

DOI: 10.3847/1538-4357/acb5ed

We introduce the first complete nonparametric model for the astrophysical distribution of the binary black hole (BBH) population. Constructed from basis splines, we use these models to conduct the most comprehensive data-driven investigation of the BBH population to date, simultaneously fitting nonparametric models for the BBH mass ratio, spin magnitude and misalignment, and redshift distributions.