activity
20102020
most citedA new framework for analyzing the effects of small scale inhomogeneities in cosmology

164 citations · 164 across the 1 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2020

Complete parameter inference for GW150914 using deep learning

Stephen R. Green, Jonathan Gair

The LIGO and Virgo gravitational-wave observatories have detected many exciting events over the past five years. As the rate of detections grows with detector sensitivity, this pos…

astro-ph.IM2020

Gravitational-wave parameter estimation with autoregressive neural network flows

Stephen R. Green, Christine Simpson, Jonathan Gair

We introduce the use of autoregressive normalizing flows for rapid likelihood-free inference of binary black hole system parameters from gravitational-wave data with deep neural ne…

gr-qc2019

Excited hairy black holes: dynamical construction and level transitions

Pablo Bosch, Stephen R. Green, Luis Lehner +1

We study the dynamics of unstable Reissner-Nordström anti-de Sitter black holes under charged scalar field perturbations in spherical symmetry. We unravel their general behavior an…

gr-qc2019

Teukolsky formalism for nonlinear Kerr perturbations

Stephen R. Green, Stefan Hollands, Peter Zimmerman

We develop a formalism to treat higher order (nonlinear) metric perturbations of the Kerr spacetime in a Teukolsky framework. We first show that solutions to the linearized Einstei…

gr-qc2010164 cited

A new framework for analyzing the effects of small scale inhomogeneities in cosmology

Stephen R. Green, Robert M. Wald

We develop a new, mathematically precise framework for treating the effects of nonlinear phenomena occurring on small scales in general relativity. Our approach is an adaptation of…