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An updated nuclear-physics and multi-messenger astrophysics framework for binary neutron star mergers

Authors :
Peter T. H. Pang
Tim Dietrich
Michael W. Coughlin
Mattia Bulla
Ingo Tews
Mouza Almualla
Tyler Barna
Ramodgwendé Weizmann Kiendrebeogo
Nina Kunert
Gargi Mansingh
Brandon Reed
Niharika Sravan
Andrew Toivonen
Sarah Antier
Robert O. VandenBerg
Jack Heinzel
Vsevolod Nedora
Pouyan Salehi
Ritwik Sharma
Rahul Somasundaram
Chris Van Den Broeck
Source :
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

Abstract 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 ⊙ neutron star to be $$R=11.9{8}_{-0.40}^{+0.35}$$ R = 11.9 8 − 0.40 + 0.35 km.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.83e0219b0d0541b699d4f33d76fa54fd
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-023-43932-6