activity
20152025
most citedSpin orientations of merging black holes formed from the evolution of stellar binaries

231 citations · 1.2k across the 24 of their papers we have counts for

collaborators

25 papers

astro-ph.HE2025

Reconstructing the origin of black hole mergers using sparse astrophysical models

V. Gayathri, Giuliano Iorio, Hiromichi Tagawa +8

The astrophysical origin of binary black hole mergers discovered by LIGO and Virgo remains uncertain. Efforts to reconstruct the processes that lead to mergers typically rely on ei…

gr-qc2024

Effects of waveform systematics on inferences of neutron star population properties and the nuclear equation of state

Anjali B. Yelikar, Richard O'Shaughnessy, Daniel Wysocki +1

Gravitational waves from inspiralling neutron stars carry information about matter at extreme gravity and density. The binary neutron star (BNS) event GW170817 provided, for the fi…

astro-ph.HE2023★ 30 cited

Low-latency gravitational wave alert products and their performance at the time of the fourth LIGO-Virgo-KAGRA observing run

Sushant Sharma Chaudhary, Andrew Toivonen, Gaurav Waratkar +50

Multi-messenger searches for BNS and NSBH mergers are currently one of the most exciting areas of astronomy. The search for joint electromagnetic and neutrino counterparts to GWs h…

gr-qc2023

Iteratively Comparing Gravitational-Wave Observations to the Evolution of Massive Stellar Binaries

Vera Delfavero, Richard O'Shaughnessy, Krzysztof Belczynski +2

Gravitational-wave observations have the capability to strongly differentiate between different assumptions for how binary compact objects form. In this work, we show how to carefu…

gr-qc2023★ 21 cited

Gravitational wave source populations: Disentangling an AGN component

V. Gayathri, Daniel Wysocki, Y. Yang +4

The astrophysical origin of the over 90 compact binary mergers discovered by the LIGO and Virgo gravitational wave observatories is an open question. While the unusual mass and spi…

gr-qc2022

Expanding RIFT: Improving performance for GW parameter inference

J. Wofford, A. Yelikar, H. Gallagher +10

The Rapid Iterative FiTting (RIFT) parameter inference algorithm provides a framework for efficient, highly-parallelized parameter inference for GW sources. In this paper, we summa…