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gr-qc2026
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…
gr-qc2025★ 3 cited
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…