activity
20242026
most citedThe SXS Collaboration's third catalog of binary black hole simulations

53 citations · 152 across the 16 of their papers we have counts for

collaborators

16 papers

gr-qc2026

NRSur7dq4v2: A multi-domain precessing surrogate model with improved accuracy

Abhishek Ravishankar, Vijay Varma, Scott E. Field +5

Numerical relativity simulations provide the most accurate waveforms for binary black hole coalescences, but are prohibitively expensive for direct use in gravitational-wave data a…

gr-qc2026

Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms

Michael Pürrer, Ashwin Girish, Lucy M. Thomas +2

We present a neural network surrogate model that emulates the NRSur7dq4 gravitational waveform model for precessing binary black hole mergers. The surrogate decomposes the waveform…

gr-qc2026

Merger remnant and eccentricity dynamics surrogates for eccentric nonspinning black hole binaries

Adhrit Ravichandran, Peter James Nee, Keefe Mitman +22

Accurate models of merger remnants are increasingly important for gravitational-wave science, including precision tests of gravity with ringdown, inference of black-hole population…

gr-qc2026

Including higher-order modes in a quadrupolar eccentric numerical relativity surrogate using universal eccentric modulation functions

Tousif Islam, Adhrit Ravichandran, Peter James Nee +15

\texttt{gwNRHME} is a framework that converts multi-modal (i.e., containing several spherical harmonic modes) quasi-circular waveforms into their eccentric counterparts, provided t…

gr-qc2025

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…

gr-qc2025★ 1 cited

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…

gr-qc2025★ 15 cited

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…

gr-qc2025★ 53 cited

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…

astro-ph.IM2025★ 4 cited

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…

gr-qc2025★ 1 cited

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…

gr-qc2025★ 18 cited

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…

gr-qc2025★ 5 cited

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…

gr-qc2025★ 2 cited

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…

gr-qc2024★ 17 cited

High-Precision Ringdown Surrogate Model for Non-Precessing Binary Black Holes

Lorena Magaña Zertuche, Leo C. Stein, Keefe Mitman +11

Highly precise and robust waveform models are required as improvements in detector sensitivity enable us to test general relativity with more precision than ever before. In this wo…

gr-qc2024★ 26 cited

Gravitational wave surrogate model for spinning, intermediate mass ratio binaries based on perturbation theory and numerical relativity

Katie Rink, Ritesh Bachhar, Tousif Islam +6

We present BHPTNRSur2dq1e3, a reduced order surrogate model of gravitational waves emitted from binary black hole (BBH) systems in the comparable to large mass ratio regime with al…

gr-qc2024★ 10 cited

Optimizing post-Newtonian parameters and fixing the BMS frame for numerical-relativity waveform hybridizations

Dongze Sun, Michael Boyle, Keefe Mitman +4

Numerical relativity (NR) simulations of binary black holes provide precise waveforms, but are typically too computationally expensive to produce waveforms with enough orbits to co…