359 citations · 1.8k across the 57 of their papers we have counts for
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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…
Statistics of time and frequency-averaged spectra in gravitational-wave background searches
Quentin Baghi, Nikolaos Karnesis, Jean-Baptiste Bayle
Time series analysis from gravitational-wave detectors often relies on the assumption that time chunks, or frequency bins, are uncorrelated. We discuss the validity of this approxi…
Effect of noise characterization on the detection of mHz stochastic gravitational waves
Nikolaos Karnesis, Quentin Baghi, Jean-Baptiste Bayle +1
Pulsar timing arrays' hint for a stochastic gravitational-wave background (SGWB) leverages the expectations of a future detection in the millihertz band, particularly with the LISA…
Extraction of gravitational wave signals from LISA data in the presence of artifacts
Eleonora Castelli, Quentin Baghi, John G. Baker +7
The Laser Interferometer Space Antenna (LISA) mission is being developed by ESA with NASA participation. As it has recently passed the Mission Adoption milestone, models of the ins…
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…
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…