13 citations · 17 across the 22 of their papers we have counts for
6 papers · 1 filter
Correcting for Evidence Uncertainty in the Templated Background Search for the Stochastic Gravitational-Wave Background
Xiao-Xiao Kou, Argyro Sasli, Muhammed Saleem +1
We report a new source of systematic bias in the Bayesian Templated Background Search (TBS) for the astrophysical stochastic gravitational-wave background. This bias arises from th…
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…
Likelihood-free inference for gravitational-wave data analysis and public alerts
Ethan Marx, Deep Chatterjee, Malina Desai +7
Rapid and reliable detection and dissemination of source parameter estimation data products from gravitational-wave events, especially sky localization, is critical for maximizing…
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…
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-…
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…