An updated nuclear-physics and multi-messenger astrophysics framework for binary neutron star mergers.
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
20 Dec 2023
20 Dec 2023
Historique:
received:
23
02
2023
accepted:
24
11
2023
medline:
21
12
2023
pubmed:
21
12
2023
entrez:
20
12
2023
Statut:
epublish
Résumé
The multi-messenger detection of the gravitational-wave signal GW170817, the corresponding kilonova AT2017gfo and the short gamma-ray burst GRB170817A, as well as the observed afterglow has delivered a scientific breakthrough. For an accurate interpretation of all these different messengers, one requires robust theoretical models that describe the emitted gravitational-wave, the electromagnetic emission, and dense matter reliably. In addition, one needs efficient and accurate computational tools to ensure a correct cross-correlation between the models and the observational data. For this purpose, we have developed the Nuclear-physics and Multi-Messenger Astrophysics framework NMMA. The code allows incorporation of nuclear-physics constraints at low densities as well as X-ray and radio observations of isolated neutron stars. In previous works, the NMMA code has allowed us to constrain the equation of state of supranuclear dense matter, to measure the Hubble constant, and to compare dense-matter physics probed in neutron-star mergers and in heavy-ion collisions, and to classify electromagnetic observations and perform model selection. Here, we show an extension of the NMMA code as a first attempt of analyzing the gravitational-wave signal, the kilonova, and the gamma-ray burst afterglow simultaneously. Incorporating all available information, we estimate the radius of a 1.4M
Identifiants
pubmed: 38123551
doi: 10.1038/s41467-023-43932-6
pii: 10.1038/s41467-023-43932-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
8352Subventions
Organisme : Daimler und Benz Stiftung (Daimler and Benz Foundation)
ID : NUMANJI
Organisme : National Science Foundation (NSF)
ID : PHY-2010970
Organisme : National Science Foundation (NSF)
ID : OAC-2117997
Organisme : Vetenskapsrådet (Swedish Research Council)
ID : 2020-03330
Organisme : U.S. Department of Energy (DOE)
ID : 20220658ER
Organisme : National Science Foundation (NSF)
ID : PHY-1806990
Informations de copyright
© 2023. The Author(s).
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