Detection and Parameter Estimation of Gravitational Waves from Binary Neutron-Star Mergers in Real LIGO Data using Deep Learning

no code implementations • 24 Dec 2020 • Plamen G. Krastev, Kiranjyot Gill, V. Ashley Villar, Edo Berger

One of the key challenges of real-time detection and parameter estimation of gravitational waves from compact binary mergers is the computational cost of conventional matched-filtering and Bayesian inference approaches.

Bayesian Inference Instrumentation and Methods for Astrophysics General Relativity and Quantum Cosmology Nuclear Theory