3 papers
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…
astro-ph.HE2026
Accurate and efficient simulation-based inference for massive black-hole binaries with LISA
Alice Spadaro, Jonathan Gair, Davide Gerosa +8
We develop an accurate simulation-based inference framework for high-mass () black-hole binaries observable by LISA. The method is implemented within th…
astro-ph.IM2025
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…