activity
20162020
most citedAll-sky search in early O3 LIGO data for continuous gravitational-wave signals from unknown neutron stars in binary systems

71 citations · 71 across the 1 of their papers we have counts for

collaborators

5 papers

gr-qc202071 cited

All-sky search in early O3 LIGO data for continuous gravitational-wave signals from unknown neutron stars in binary systems

The LIGO Scientific Collaboration, the Virgo Collaboration, R. Abbott +1369

Rapidly spinning neutron stars are promising sources of persistent, continuous gravitational waves. Detecting such a signal would allow probing of the physical properties of matter…

gr-qc2020

GW190521 as a merger of Proca stars: a potential new vector boson of eV

Juan Calderón Bustillo, Nicolas Sanchis-Gual, Alejandro Torres-Forné +6

Advanced LIGO-Virgo reported a short gravitational-wave signal (GW190521) interpreted as a quasi-circular merger of black holes, one populating the pair-instability supernova gap,…

astro-ph.HE2018

Towards asteroseismology of core-collapse supernovae with gravitational-wave observations - II. Spacetime perturbations

Alejandro Torres-Forné, Pablo Cerdá-Durán, Andrea Passamonti +2

Improvements in ground-based, advanced gravitational wave (GW) detectors may allow in the near future to observe the GW signal of a nearby core-collapse supernova. For the most com…

astro-ph.SR2018

Total-variation methods for gravitational-wave denoising: performance tests on Advanced LIGO data

Alejandro Torres-Forné, Elena Cuoco, Antonio Marquina +2

We assess total-variation methods to denoise gravitational-wave signals in real noise conditions, by injecting numerical-relativity waveforms from core-collapse supernovae and bina…

astro-ph.IM2016

Denoising of gravitational-wave signal GW150914 via total-variation methods

Alejandro Torres-Forné, Antonio Marquina, José A. Font +1

We apply a regularized Rudin-Osher-Fatemi total variation (TV) method to denoise the transient gravitational wave signal GW150914. We have previously applied TV techniques to denoi…