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20232026
most citedReal-time gravitational-wave inference for binary neutron stars using machine learning

49 citations · 197 across the 12 of their papers we have counts for

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7 papers · 1 filter

gr-qc2026

End-to-End Population Inference from Gravitational-Wave Strain using Transformers

Konstantin Leyde, Stephen R. Green, Maximilian Dax +3

The population of compact binaries encodes information about their astrophysical origins and the expansion of the universe. Hierarchical Bayesian methods infer these properties by…

gr-qc2025★ 1 cited

Flexible Gravitational-Wave Parameter Estimation with Transformers

Annalena Kofler, Maximilian Dax, Stephen R. Green +6

Gravitational-wave data analysis relies on accurate and efficient methods to extract physical information from noisy detector signals, yet the increasing rate and complexity of obs…

gr-qc2024

Incorporating waveform calibration error in gravitational-wave modeling and inference for SEOBNRv4

Ritesh Bachhar, Michael Pürrer, Stephen R. Green

As gravitational wave (GW) detector networks continue to improve in sensitivity, the demand on the accuracy of waveform models which predict the GW signals from compact binary coal…

gr-qc2024★ 49 cited

Real-time gravitational-wave inference for binary neutron stars using machine learning

Maximilian Dax, Stephen R. Green, Jonathan Gair +7

Mergers of binary neutron stars (BNSs) emit signals in both the gravitational-wave (GW) and electromagnetic (EM) spectra. Famously, the 2017 multi-messenger observation of GW170817…

gr-qc2024★ 41 cited

Evidence for eccentricity in the population of binary black holes observed by LIGO-Virgo-KAGRA

Nihar Gupte, Antoni Ramos-Buades, Alessandra Buonanno +9

Binary black holes (BBHs) in eccentric orbits produce distinct modulations in gravitational waves (GWs); measuring orbital eccentricity provides evidence for dynamical binary forma…

gr-qc2023★ 29 cited

Gravitational wave populations and cosmology with neural posterior estimation

Konstantin Leyde, Stephen R. Green, Alexandre Toubiana +1

We apply neural posterior estimation for fast-and-accurate hierarchical Bayesian inference of gravitational wave populations. We use a normalizing flow to estimate directly the pop…

gr-qc2023★ 48 cited

Waveform Modelling for the Laser Interferometer Space Antenna

LISA Consortium Waveform Working Group, Niayesh Afshordi, Sarp Akçay +144

LISA, the Laser Interferometer Space Antenna, will usher in a new era in gravitational-wave astronomy. As the first anticipated space-based gravitational-wave detector, it will exp…