331 citations · 1.6k across the 48 of their papers we have counts for
7 papers · 1 filter
A Deep Learning Powered Numerical Relativity Surrogate for Binary Black Hole Waveforms
Osvaldo Gramaxo Freitas, Anastasios Theodoropoulos, Nino Villanueva +6
Gravitational-wave approximants are essential for gravitational-wave astronomy, allowing the coverage binary black hole parameter space for inference or match filtering without cos…
Parameter estimation of microlensed gravitational waves with Conditional Variational Autoencoders
Roberto Bada-Nerin, Oleg Bulashenko, Osvaldo Gramaxo Freitas +1
Gravitational lensing of gravitational waves (GWs) provides a unique opportunity to study cosmology and astrophysics at multiple scales. Detecting microlensing signatures, in parti…
Search for gravitational waves emitted from SN 2023ixf
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1780
We present the results of a search for gravitational-wave transients associated with core-collapse supernova SN 2023ixf, which was observed in the galaxy Messier 101 via optical em…
A search using GEO600 for gravitational waves coincident with fast radio bursts from SGR 1935+2154
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1780
The magnetar SGR 1935+2154 is the only known Galactic source of fast radio bursts (FRBs). FRBs from SGR 1935+2154 were first detected by CHIME/FRB and STARE2 in 2020 April, after t…
Observation of Gravitational Waves from the Coalescence of a Compact Object and a Neutron Star
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1793
We report the observation of a coalescing compact binary with component masses and (all measurements quoted at the 90% credible le…
Ultralight vector dark matter search using data from the KAGRA O3GK run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1800
Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating l…
Deep-Learning Classification and Parameter Inference of Rotational Core-Collapse Supernovae
Solange Nunes, Gabriel Escrig, Osvaldo G. Freitas +4
We test deep-learning (DL) techniques for the analysis of rotational core-collapse supernovae (CCSN) gravitational-wave (GW) signals by performing classification and parameter infe…