papers
Publications (3)
gr-qc2026
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…
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.IM2026
Rapid data quality investigations of gravitational-wave events with the Data Quality Report Builder toolkit
Derek Davis, Zach Yarbrough, Joseph Areeda +30
We present the Data Quality Report Builder toolkit, DQRbuild, a suite of data quality tools that have been developed to vet gravitational-wave events in preparation for the fourth…