activity
20152026
most citedBlack holes, gravitational waves and fundamental physics: a roadmap

742 citations · 1.9k across the 22 of their papers we have counts for

collaborators

22 papers

astro-ph.IM2026

An autoencoder-based surrogate waveform model for quasi-circular binary-black-hole mergers

Anastasios Theodoropoulos, Nino Villanueva, Osvaldo Gramaxo Freitas +6

The generation of accurate waveforms from binary black hole (BBH) mergers is a major effort in Gravitational-Wave Astronomy. In recent years, machine-learning-based surrogate model…

astro-ph.HE2025★ 1 cited

Towards asteroseismology of neutron stars with physics-informed neural networks

Dimitra Tseneklidou, Alejandro Torres-Forne, Pablo Cerda-Duran

The study of the gravitational wave signatures of neutron star oscillations may provide important information of their interior structure and Equation of State (EoS) at high densit…

astro-ph.HE2023

Gravitational Wave Eigenfrequencies from Neutrino-Driven Core-Collapse Supernovae

Noah E. Wolfe, Carla Frohlich, Jonah M. Miller +2

Core-collapse supernovae are predicted to produce gravitational waves (GWs) that may be detectable by Advanced LIGO/Virgo. These GW signals carry information from the heart of thes…

gr-qc2023★ 21 cited

Convolutional Neural Networks for the classification of glitches in gravitational-wave data streams

Tiago S. Fernandes, Samuel J. Vieira, Antonio Onofre +3

We investigate the use of Convolutional Neural Networks (including the modern ConvNeXt network family) to classify transient noise signals (i.e.~glitches) and gravitational waves i…

gr-qc2022★ 31 cited

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…

gr-qc2022★ 9 cited

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…

gr-qc2022★ 6 cited

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…

gr-qc2022★ 14 cited

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…

astro-ph.IM2022★ 2 cited

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…

gr-qc2020★ 54 cited

Inference of proto-neutron star properties from gravitational-wave data in core-collapse supernovae

Marie-Anne Bizouard, Patricio Maturana-Russel, Alejandro Torres-Forné +5

The eventual detection of gravitational waves from core-collapse supernovae (CCSN) will help improve our current understanding of the explosion mechanism of massive stars. The stoc…

gr-qc2020★ 21 cited

Exploring gravitational-wave detection and parameter inference using Deep Learning methods

João D. Álvares, José A. Font, Felipe F. Freitas +5

We explore machine learning methods to detect gravitational waves (GW) from binary black hole (BBH) mergers using deep learning (DL) algorithms. The DL networks are trained with gr…

gr-qc2020★ 99 cited

Confusing Head-On Collisions with Precessing Intermediate-Mass Binary Black Hole Mergers

Juan Calderón Bustillo, Nicolas Sanchis-Gual, Alejandro Torres-Forné +1

We report a degeneracy between the gravitational-wave signals from quasi-circular precessing black-hole mergers and those from extremely eccentric mergers, namely head-on collision…

gr-qc2020★ 44 cited

Application of dictionary learning to denoise LIGO's blip noise transients

Alejandro Torres-Forné, Elena Cuoco, José A. Font +1

Data streams of gravitational-wave detectors are polluted by transient noise features, or "glitches", of instrumental and environmental origin. In this work, we investigate the use…

gr-qc2019★ 98 cited

All-sky search for short gravitational-wave bursts in the second Advanced LIGO and Advanced Virgo run

The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1186

We present the results of a search for short-duration gravitational-wave transients in the data from the second observing run of Advanced LIGO and Advanced Virgo. We search for gra…

astro-ph.HE2019★ 149 cited

All-sky search for continuous gravitational waves from isolated neutron stars using Advanced LIGO O2 data

The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1130

We present results of an all-sky search for continuous gravitational waves (CWs), which can be produced by fast-spinning neutron stars with an asymmetry around their rotation axis,…

gr-qc2019★ 90 cited

Universal relations for gravitational-wave asteroseismology of proto-neutron stars

Alejandro Torres-Forné, Pablo Cerdá-Durán, Martin Obergaulinger +2

State-of-the-art numerical simulations of core-collapse supernovae reveal that the main source of gravitational waves is the excitation of proto-neutron star modes during post-boun…

astro-ph.IM2018★ 24 cited

Classification of gravitational-wave glitches via dictionary learning

Miquel Llorens-Monteagudo, Alejandro Torres-Forné, José A. Font +1

We present a new method for the classification of transient noise signals (or glitches) in advanced gravitational-wave interferometers. The method uses learned dictionaries (a supe…

astro-ph.CO2018★ 239 cited

A standard siren measurement of the Hubble constant from GW170817 without the electromagnetic counterpart

M. Fishbach, R. Gray, I. Magaña Hernandez +316

We perform a statistical standard siren analysis of GW170817. Our analysis does not utilize knowledge of NGC 4993 as the unique host galaxy of the optical counterpart to GW170817.…

gr-qc2018★ 58 cited

Calibration of Advanced Virgo and Reconstruction of the Gravitational Wave Signal h(t) during the Observing Run O2

Virgo Collaboration, F. Acernese, T. Adams +281

In August 2017, Advanced Virgo joined Advanced LIGO for the end of the O2 run, leading to the first gravitational waves detections with the three-detector network. This paper descr…

gr-qc2018★ 742 cited

Black holes, gravitational waves and fundamental physics: a roadmap

Leor Barack, Vitor Cardoso, Samaya Nissanke +203

The grand challenges of contemporary fundamental physics---dark matter, dark energy, vacuum energy, inflation and early universe cosmology, singularities and the hierarchy problem-…

astro-ph.IM2016★ 70 cited

Classification methods for noise transients in advanced gravitational-wave detectors II: performance tests on Advanced LIGO data

Jade Powell, Alejandro Torres-Forné, Ryan Lynch +5

The data taken by the advanced LIGO and Virgo gravitational-wave detectors contains short duration noise transients that limit the significance of astrophysical detections and redu…

astro-ph.IM2015★ 87 cited

Classification methods for noise transients in advanced gravitational-wave detectors

Jade Powell, Daniele Trifiro, Elena Cuoco +2

Noise of non-astrophysical origin will contaminate science data taken by the Advanced Laser Interferometer Gravitational-wave Observatory (aLIGO) and Advanced Virgo gravitational-w…