53 citations · 152 across the 16 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…