Detection and parameter estimation of gravitational waves from binary neutron-star mergers in real LIGO data using deep learning
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. In particular, the application of these methods to the full signal parameter spa...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-04-01
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Series: | Physics Letters B |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0370269321001015 |