activity
20202026
most citedGeneral-relativistic precession in a black-hole binary

116 citations · 205 across the 13 of their papers we have counts for

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8 papers · 1 filter

gr-qc2025

Binary Neutron Stars from the Moon: Early Warnings and Precision Science for the Artemis Era

Anjali B. Yelikar, Karan Jani

Binary neutron star mergers are unique probes of matter at extreme density and standard candles of cosmic expansion. The only such event observed in both gravitational waves and el…

gr-qc2025

Laser Interferometer Lunar Antenna (LILA): Advancing the U.S. Priorities in Gravitational-wave and Lunar Science

Karan Jani, Matthew Abernathy, Emanuele Berti +30

The Laser Interferometer Lunar Antenna (LILA) is a next-generation gravitational-wave (GW) facility on the Moon. By harnessing the Moon's unique environment, LILA fills a critical…

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…

gr-qc2024

Inference on neutron star parameters and the nuclear equation of state with RIFT, using prior EOS information

Askold Vilkha, Anjali Yelikar, Richard O'Shaughnessy +1

In this paper, we present an inference method for determining neutron star parameters and constraining the nuclear equation of state (EOS) using the RIFT parameter inference engine…

gr-qc2023★ 1 cited

Low-latency parameter inference enabled by a Gaussian likelihood approximation for RIFT

A. B. Yelikar, V. Delfavero, R. O'Shaughnessy

Rapid identification, characterization, and localization of gravitational waves from binary compact object mergers can enable well-informed follow-on multimessenger observations. I…

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…

gr-qc2021★ 116 cited

General-relativistic precession in a black-hole binary

Mark Hannam, Charlie Hoy, Jonathan E. Thompson +24

The general-relativistic phenomenon of spin-induced orbital precession has not yet been observed in strong-field gravity. Gravitational-wave observations of binary black holes (BBH…

gr-qc2020★ 71 cited

All-sky search in early O3 LIGO data for continuous gravitational-wave signals from unknown neutron stars in binary systems

The LIGO Scientific Collaboration, the Virgo Collaboration, R. Abbott +1369

Rapidly spinning neutron stars are promising sources of persistent, continuous gravitational waves. Detecting such a signal would allow probing of the physical properties of matter…