742 citations · 10.2k across the 143 of their papers we have counts for
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Rotating Neutron Star Migrations as a Standardized Test for 3+1 Numerical Relativity
Óscar H. Petit, José A. Font, Nikolaos Stergioulas
When simulating dynamically unstable neutron stars, truncation errors can introduce perturbations that drive the stellar configuration either toward gravitational collapse into a b…
Advanced Virgo during the LIGO-Virgo-KAGRA fourth observing run
Virgo Collaboration, F Acernese, A Agapito +546
From April 10, 2024 to November 18, 2025 Advanced Virgo participated in the fourth observing run of the network of gravitational-wave detectors, together with Advanced LIGO and KAG…
Inferring Neutron-Star Properties from Post-merger Gravitational-wave Spectra with Neural Networks
Dimitrios Pesios, Nikolaos Stergioulas
We present a proof-of-concept study of the inverse problem of inferring neutron-star properties directly from the post-merger gravitational-wave spectrum of equal-mass binary neutr…
Beyond Gaussian Assumptions: A new robust statistical framework for gravitational-wave data analysis
Argyro Sasli, Minas Karamanis, Nikolaos Karnesis +4
Many traditional algorithms applied in gravitational-wave astronomy rely on the assumption of Gaussian noise, a condition not always met. To meet this need, this study extends a ro…
Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms
Alexandra E. Koloniari, Lazaros Lazaridis, Christos Paschalidis +1
The discovery of gravitational waves (GWs) from merging compact binaries has transformed modern astrophysics, driving innovation in detection methodologies. Whereas matched-filteri…
The Science of the Einstein Telescope
Adrian Abac, Raul Abramo, Simone Albanesi +485
Einstein Telescope (ET) is the European project for a gravitational-wave (GW) observatory of third-generation. In this paper we present a comprehensive discussion of its science ob…
Robust and fast parameter estimation for gravitational waves from binary neutron star merger remnants
Stamatis Vretinaris, Georgios Vretinaris, Christos Mermigkas +2
We present a robust and efficient methodology for parameter estimation of gravitational waves generated during the post-merger phase of binary neutron star mergers. Our approach le…
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…
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…
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…
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…
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…
Exploring the Potential for Detecting Rotational Instabilities in Binary Neutron Star Merger Remnants with Gravitational Wave Detectors
Argyro Sasli, Nikolaos Karnesis, Nikolaos Stergioulas
We explore the potential for detecting rotational instabilities in the post-merger phase of binary neutron star mergers using different network configurations of upgraded and next-…
A Bayesian investigation of the neutron star equation-of-state vs. gravity degeneracy
Bhaskar Biswas, Evangelos Smyrniotis, Ioannis Liodis +1
Despite its elegance, the theory of General Relativity is subject to experimental, observational, and theoretical scrutiny to arrive at tighter constraints or an alternative, more…
A neural-network-based surrogate model for the properties of neutron stars in 4D Einstein-Gauss-Bonnet gravity
Ioannis Liodis, Evaggelos Smirniotis, Nikolaos Stergioulas
Machine learning and artificial neural networks (ANNs) have increasingly become integral to data analysis research in astrophysics due to the growing demand for fast calculations r…
Heavy-tailed likelihoods for robustness against data outliers: Applications to the analysis of gravitational wave data
Argyro Sasli, Nikolaos Karnesis, Nikolaos Stergioulas
In recent years, the field of Gravitational Wave Astronomy has flourished. With the advent of more sophisticated ground-based detectors and space-based observatories, it is anticip…
Differentially rotating scalarized neutron stars with realistic post-merger profile
Kalin V. Staykov, Daniela D. Doneva, Lavinia Heisenberg +2
The merger remnant of a binary neutron star coalescence is initially strongly differentially rotating. Some properties of these remnants can be accurately modeled through building…
Deep Residual Networks for Gravitational Wave Detection
Paraskevi Nousi, Alexandra E. Koloniari, Nikolaos Passalis +3
Traditionally, gravitational waves are detected with techniques such as matched filtering or unmodeled searches based on wavelets. However, in the case of generic black hole binari…
Virgo Detector Characterization and Data Quality: tools
F. Acernese, M. Agathos, A. Ain +491
Detector characterization and data quality studies -- collectively referred to as {\em DetChar} activities in this article -- are paramount to the scientific exploitation of the jo…
Virgo Detector Characterization and Data Quality: results from the O3 run
F. Acernese, M. Agathos, A. Ain +491
The Advanced Virgo detector has contributed with its data to the rapid growth of the number of detected gravitational-wave (GW) signals in the past few years, alongside the two Adv…
The Laser Interferometer Space Antenna mission in Greece White Paper
Nikolaos Karnesis, Nikolaos Stergioulas, Georgios Pappas +18
The Laser Interferometer Space Antenna (LISA) mission, scheduled for launch in the mid-2030s, is a gravitational wave observatory in space designed to detect sources emitting in th…
New Horizons for Fundamental Physics with LISA
K. G. Arun, Enis Belgacem, Robert Benkel +138
The Laser Interferometer Space Antenna (LISA) has the potential to reveal wonders about the fundamental theory of nature at play in the extreme gravity regime, where the gravitatio…
Virgo Detector Characterization and Data Quality during the O3 run
F. Acernese, M. Agathos, A. Ain +491
The Advanced Virgo detector has contributed with its data to the rapid growth of the number of detected gravitational-wave signals in the past few years, alongside the two LIGO ins…
The Virgo O3 run and the impact of the environment
F. Acernese, M. Agathos, A. Ain +486
Sources of geophysical noise (such as wind, sea waves and earthquakes) or of anthropogenic noise impact ground-based gravitational-wave interferometric detectors, causing transient…