Dr. Stephen R. Green
Dr. Stephen R. Green
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Recent & Upcoming Talks
2021
Real-time gravitational-wave parameter estimation using machine learning
Bayesian inference provides the statistical framework for characterizing gravitational-wave sources. This is usually combined with a …
Nov 17, 2021
IPAM, UCLA
Project
Slides
Video
Amortized simulation-based inference for compact binaries
Over the past five years, LIGO and Virgo have published roughly 50 detections of gravitational waves from compact binary coalescences. …
Jul 21, 2021
OzGrav
Project
Slides
Video
Lorenz-gauge reconstruction in electromagnetism with sources
Reconstructing a metric or vector potential that corresponds to a given solution to the Teukolsky equation is an important problem for …
Jun 9, 2021
Perimeter Institute, Canada
Project
Slides
Video
2020
Teukolsky formalism for nonlinear Kerr perturbations
We develop a formalism to treat higher order (nonlinear) metric perturbations of the Kerr spacetime in a Teukolsky framework. We first …
Jun 24, 2020 7:40 AM — 8:00 AM
University of Texas at Austin
Project
Slides
Video
Likelihood-free gravitational-wave parameter estimation with neural networks
Feb 27, 2020
University of Southampton
Project
Slides
2019
Orthogonality of Kerr quasinormal modes
Aug 2, 2019
Casa Matemática Oaxaca
Slides
Video
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