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19942026
most citedBlack holes, gravitational waves and fundamental physics: a roadmap

742 citations · 10.2k across the 143 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

hep-ex2024

Terrestrial Very-Long-Baseline Atom Interferometry: Summary of the Second Workshop

Adam Abdalla, Mahiro Abe, Sven Abend +307

This summary of the second Terrestrial Very-Long-Baseline Atom Interferometry (TVLBAI) Workshop provides a comprehensive overview of our meeting held in London in April 2024, build…

gr-qc2024★ 1 cited

Characterization of non-Gaussian stochastic signals with heavier-tailed likelihoods

Nikolaos Karnesis, Argyro Sasli, Riccardo Buscicchio +1

Future Gravitational Wave observatories will give us the opportunity to search for stochastic signals of astrophysical, or even cosmological origins. However, parameter estimation…

gr-qc2024★ 24 cited

New Gravitational Wave Discoveries Enabled by Machine Learning

Alexandra E. Koloniari, Evdokia C. Koursoumpa, Paraskevi Nousi +4

The detection of gravitational waves has revolutionized our understanding of the universe, offering unprecedented insights into its dynamics. A major goal of gravitational wave dat…

gr-qc2024

Predicting Binary Neutron Star Postmerger Spectra Using Artificial Neural Networks

Dimitrios Pesios, Ioannis Koutalios, Dimitris Kugiumtzis +1

Gravitational waves in the postmerger phase of binary neutron star mergers may become detectable with planned upgrades of existing gravitational-wave detectors or with more sensiti…

astro-ph.HE2024★ 3 cited

Gravitational-wave model for neutron star merger remnants with supervised learning

Theodoros Soultanis, Kiril Maltsev, Andreas Bauswein +3

We present a time-domain model for the gravitational waves emitted by equal-mass binary neutron star merger remnants for a fixed equation of state. We construct a large set of nume…

gr-qc2024★ 4 cited

An efficient GPU-accelerated multi-source global fit pipeline for LISA data analysis

Michael L. Katz, Nikolaos Karnesis, Natalia Korsakova +2

The large-scale analysis task of deciphering gravitational wave signals in the LISA data stream will be difficult, requiring a large amount of computational resources and extensive…

gr-qc2024

Machine Learning Applications in Gravitational Wave Astronomy

Nikolaos Stergioulas

Gravitational wave astronomy has emerged as a new branch of observational astronomy, since the first detection of gravitational waves in 2015. The current number of detect…