53 citations · 152 across the 16 of their papers we have counts for
9 papers · 1 filter
Eccentric binary black holes: A new framework for numerical relativity waveform surrogates
Peter James Nee, Adhrit Ravichandran, Scott E. Field +17
Mounting evidence indicates that some of the gravitational wave signals observed by the LIGO/Virgo/KAGRA observatories might arise from eccentric compact object binaries, increasin…
Chase Orbits, not Time: A Scalable Paradigm for Long-Duration Eccentric Gravitational-Wave Surrogates
Akash Maurya, Prayush Kumar, Scott E. Field +6
Orbital eccentricity is a key tracer of the astrophysical origins of compact binaries. Yet it remains absent from routine LIGO-Virgo-KAGRA analyses, in part because of the prohibit…
Defining eccentricity for spin-precessing binaries
Md Arif Shaikh, Vijay Varma, Antoni Ramos-Buades +4
Standardizing the definition of eccentricity is necessary for unambiguous inference of the orbital eccentricity of compact binaries from gravitational wave observations. In previou…
The SXS Collaboration's third catalog of binary black hole simulations
Mark A. Scheel, Michael Boyle, Keefe Mitman +56
We present a major update to the Simulating eXtreme Spacetimes (SXS) Collaboration's catalog of binary black hole simulations. Using highly efficient spectral methods implemented i…
GWSurrogate: A Python package for gravitational wave surrogate models
Scott E. Field, Vijay Varma, Jonathan Blackman +9
Fast and accurate waveform models are fundamentally important to modern gravitational wave astrophysics, enabling the study of merging compact objects like black holes and neutron…
Modeling the BMS transformation induced by a binary black hole merger
Guido Da Re, Keefe Mitman, Leo C. Stein +12
Understanding the characteristics of the remnant black hole formed in a binary black hole merger is crucial for conducting gravitational wave astronomy. Typically, models of remnan…
Impact of eccentricity and mean anomaly in numerical relativity mergers
Peter James Nee, Aldo Gamboa, Harald P. Pfeiffer +8
Accurate modelling of black hole binaries is critical to achieve the science goals of gravitational-wave detectors. Modelling such configurations relies strongly on calibration to…
Optimizing Neural Network Surrogate Models: Application to Black Hole Merger Remnants
Lucy M. Thomas, Katerina Chatziioannou, Vijay Varma +1
Surrogate models of numerical relativity simulations of merging black holes provide the most accurate tools for gravitational-wave data analysis. Neural network-based surrogates pr…
Surrogate modeling of gravitational waves microlensed by spherically symmetric potentials
Uddeepta Deka, Gopalkrishna Prabhu, Md Arif Shaikh +3
The anticipated observation of the gravitational microlensing of gravitational waves (GWs) promises to shed light on a host of astrophysical and cosmological questions. However, ex…