742 citations · 1.9k across the 22 of their papers we have counts for
5 papers · 1 filter
Solving the Teukolsky equation with physics-informed neural networks
Raimon Luna, Juan Calderón Bustillo, Juan José Seoane Martínez +2
We use physics-informed neural networks (PINNs) to compute the first quasi-normal modes of the Kerr geometry via the Teukolsky equation. This technique allows us to extract the com…
Dictionary learning: a novel approach to detecting binary black holes in the presence of Galactic noise with LISA
Charles Badger, Katarina Martinovic, Alejandro Torres-Forné +2
The noise produced by the inspiral of millions of white dwarf binaries in the Milky Way may pose a threat to one of the main goals of the space-based LISA mission: the detection of…
Searching for vector boson-star mergers within LIGO-Virgo intermediate-mass black-hole merger candidates
Juan Calderon Bustillo, Nicolas Sanchis-Gual, Samson H. W. Leong +7
We present the first systematic search for exotic compact mergers in Advanced LIGO and Virgo events. We compare the short gravitational-wave signals GW190521, GW190426190642, G…
Gravitational-wave parameter inference with the Newman-Penrose scalar
Juan Calderon Bustillo, Isaac C. F. Wong, Nicolas Sanchis-Gual +7
Detection and parameter inference of gravitational-wave signals \ncor{from compact mergers} rely on the comparison of the incoming detector strain data to waveform templates…
Implementation of the rROF denoising method in the cWB pipeline for gravitational-wave data analysis
Pablo J. Barneo, Alejandro Torres-Forné, José A. Font +3
The data collected by the current network of gravitational-wave detectors are largely dominated by instrumental noise. Total variation methods based on L1-norm minimization have re…