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Imposing multi-physics constraints at different densities on the neutron Star Equation of State

  • Neutron star matter spans a wide range of densities, from that of nuclei at the surface to exceeding several times normal nuclear matter density in the core. While terrestrial experiments, such as nuclear or heavy-ion collision experiments, provide clues about the behaviour of dense nuclear matter, one must resort to theoretical models of neutron star matter to extrapolate to higher density and finite neutron/proton asymmetry relevant for neutron stars. In this work, we explore the parameter space within the framework of the Relativistic Mean Field model allowed by present uncertainties compatible with state-of-the-art experimental data. We apply a cut-off filter scheme to constrain the parameter space using multi-physics constraints at different density regimes: chiral effective field theory, nuclear and heavy-ion collision data as well as multi-messenger astrophysical observations of neutron stars. Using the results of the study, we investigate possible correlations between nuclear and astrophysical observables.

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Author:Suprovo GhoshORCiD, Debarati ChatterjeeORCiDGND, Jürgen Schaffner-BielichORCiDGND
URN:urn:nbn:de:hebis:30:3-695254
DOI:https://doi.org/10.1140/epja/s10050-022-00679-w
ISSN:1434-601X
Parent Title (English):The European physical journal A
Publisher:Springer
Place of publication:Berlin ; Heidelberg
Document Type:Article
Language:English
Date of Publication (online):2022/02/28
Date of first Publication:2022/02/28
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2023/07/06
Volume:58
Issue:3, art. 37
Article Number:37
Page Number:18
First Page:1
Last Page:18
Note:
Open Access funding enabled and organized by Projekt DEAL.
HeBIS-PPN:512611947
Institutes:Physik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International