Solving the Teukolsky equation with physics-informed neural networks-Reference-Cited by-同舟云学术

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Solving the Teukolsky equation with physics-informed neural networks

Published:2023-03-13 Issue:6 Volume:107 Page:
ISSN:2470-0010
Container-title:Physical Review D
language:en
Short-container-title:Phys. Rev. D

Author:

Luna Raimon^ORCID,Calderón Bustillo Juan^ORCID,Seoane Martínez Juan José^ORCID,Torres-Forné Alejandro^ORCID,Font José A.^ORCID

Funder

Universitat de Barcelona

Ministerio de Universidades

Generalitat Valenciana

European Social Fund

“la Caixa” Foundation

Horizon 2020 Framework Programme

H2020 Marie Skłodowska-Curie Actions

Ministerio de Ciencia e Innovación

Agencia Estatal de Investigación

European Regional Development Fund

Next Generation EU

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevD.107.064025/fulltext

Reference68 articles.

1. Observation of Gravitational Waves from a Binary Black Hole Merger

2. GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs

3. GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo during the First Half of the Third Observing Run

4. Gravitational-wave spectroscopy of massive black holes with the space interferometer LISA

5. Empirical tests of the black hole no-hair conjecture using gravitational-wave observations

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4. Searching for vector boson-star mergers within LIGO-Virgo intermediate-mass black-hole merger candidates;Physical Review D;2023-12-12

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