Deep-learning classification and parameter inference of rotational core-collapse supernovae-Reference-Cited by-同舟云学术

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Deep-learning classification and parameter inference of rotational core-collapse supernovae

Published:2024-09-11 Issue:6 Volume:110 Page:
ISSN:2470-0010
Container-title:Physical Review D
language:en
Short-container-title:Phys. Rev. D

Author:

Nunes Solange¹^ORCID,Escrig Gabriel²^ORCID,Freitas Osvaldo G.¹³^ORCID,Font José A.³³^ORCID,Fernandes Tiago¹^ORCID,Onofre Antonio¹^ORCID,Torres-Forné Alejandro³^ORCID

Affiliation:

1. Universidade do Minho

2. Universidad Complutense de Madrid

3. Universitat de València

Funder

Ministerio de Economía y Competitividad

Ministerio de Ciencia e Innovación

European Commission

Agencia Estatal de Investigación

European Regional Development Fund

Generalitat Valenciana

H2020 Marie Skłodowska-Curie Actions

Fundação para a Ciência e a Tecnologia

National Science Foundation

Ministry of Economic Affairs Quantum ENIA

Research and Innovation Staff Exchange

European Horizon Europe staff exchange

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevD.110.064037/fulltext

Reference72 articles.

1. Gravitational Waves from Core-Collapse Supernovae

2. Presupernova Evolution of Differentially Rotating Massive Stars Including Magnetic Fields

3. Magnetorotational core collapse of possible GRB progenitors – I. Explosion mechanisms

4. Optically targeted search for gravitational waves emitted by core-collapse supernovae during the first and second observing runs of advanced LIGO and advanced Virgo

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