6533b850fe1ef96bd12a83cb
RESEARCH PRODUCT
Exploring gravitational-wave detection and parameter inference using deep learning methods
Antonio OnofreFelipe F. FreitasAlejandro Torres-fornéAlejandro Torres-fornéJosé A. FontJoao D. AlvaresOsvaldo G. FreitasAntónio P. MoraisSolange Nunessubject
Physics and Astronomy (miscellaneous)Ciências Naturais::Ciências FísicasFOS: Physical sciencesAstrophysics::Cosmology and Extragalactic AstrophysicsGeneral Relativity and Quantum Cosmology (gr-qc)01 natural sciencesGeneral Relativity and Quantum CosmologyBinary black hole0103 physical sciencesblack holeRange (statistics)Chirpparameter inferenceLIGO010306 general physicsPhysicsScience & Technology010308 nuclear & particles physicsGravitational wavebusiness.industryVirgoDeep learningDetectordeep learningLIGOmachine learninggravitational wavesSpectrogramArtificial intelligencebusinessAlgorithmdescription
The data that support the findings of this study are openly available at the following URL/DOI: https://arxiv.org/abs/2011.10425.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2020-11-20 | Classical and Quantum Gravity |