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20192026
most citedMachine Learning Gravitational Waves from Binary Black Hole Mergers

59 citations · 119 across the 12 of their papers we have counts for

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Showing 2020Show all

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astro-ph.HE202049 cited

Updated universal relations for tidal deformabilities of neutron stars from phenomenological equations of state

Daniel A. Godzieba, Rossella Gamba, David Radice +1

Equation of state (EOS) insensitive relations, so-called universal relations, between the neutron star (NS) compactness, its multipolar tidal deformability coefficients, and betwee…

gr-qc2020

Fast, faithful, frequency-domain effective-one-body waveforms for compact binary coalescences

Rossella Gamba, Sebastiano Bernuzzi, Alessandro Nagar

The inference of binary neutron star properties from gravitational-wave observations requires the generation of millions of waveforms, each one spanning about three order of magnit…

gr-qc202059 cited

Machine Learning Gravitational Waves from Binary Black Hole Mergers

Stefano Schmidt, Matteo Breschi, Rossella Gamba +6

We apply machine learning methods to build a time-domain model for gravitational waveforms from binary black hole mergers, called mlgw. The dimensionality of the problem is handled…

gr-qc2020

Effective-one-body waveforms from dynamical captures in black hole binaries

Alessandro Nagar, Piero Rettegno, Rossella Gamba +1

Dynamical capture is a possible formation channel for BBH mergers leading to highly eccentric merger dynamics and to gravitational wave (GW) signals that are morphologically differ…

gr-qc2020

A hybrid post-Newtonian -- effective-one-body scheme for spin-precessing compact-binary waveforms

Sarp Akcay, Rossella Gamba, Sebastiano Bernuzzi

We introduce \texttt{TEOBResumSP}: an efficient, accurate hybrid scheme for generating gravitational waveforms from spin-precessing compact binaries. The precessing waveforms are g…