3 papers
gr-qc2026
DANSur_HM: Modularly incorporating higher modes in a deep learning based gravitational-wave surrogate
Osvaldo Gramaxo Freitas, Anastasios Theodoropoulos, Nino Villanueva +4
Numerical relativity (NR) simulations provide the most faithful representation of the gravitational waves (GWs) emitted by binary black hole (BBH) systems during merger. In the con…
gr-qc2024
High-speed reconstruction of long-duration gravitational waves from extreme mass ratio inspirals using sparse dictionary learning
Charles Badger, José A. Font, Mairi Sakellariadou +1
Measuring accurate long-duration gravitational waves from extreme mass ratio inspirals (EMRIs) could provide scientifically fruitful knowledge of massive black hole populations and…
gr-qc2024
Rapid detection of gravitational waves from binary black hole mergers using sparse dictionary learning
Charles Badger, Rahul Srinivasan, Alejandro Torres-Forné +4
Current gravitational wave (GW) detection pipelines for compact binary coalescence based on matched-filtering have reported over 90 confident detections during the first three obse…