Constraining a relativistic mean field model using neutron star mass–radius measurements I: nucleonic models

Author:

Huang Chun123,Raaijmakers Geert4ORCID,Watts Anna L2ORCID,Tolos Laura567,Providência Constança8

Affiliation:

1. Physics Department, Central China Normal University , Luoyu Road, 430030 Wuhan , China

2. Anton Pannekoek Institute for Astronomy, University of Amsterdam , Science Park 904, 1090 GE Amsterdam , the Netherlands

3. Physics Department, Washington University , One Brookings Drive, St. Louis, MO 63130 , USA

4. GRAPPA, University of Amsterdam , Science Park 904, 1098 XH Amsterdam , the Netherlands

5. Institute of Space Sciences (ICE , CSIC), Campus UAB, Carrer de Can Magrans E-08193, Barcelona , Spain

6. Institut d’Estudis Espacials de Catalunya (IEEC) , E-08034, Barcelona , Spain

7. Frankfurt Institute for Advanced Studies , Ruth-Moufang-Str 1, D-60438 Frankfurt am Main , Germany

8. CFisUC, Department of Physics, University of Coimbra , P-3004-516 Coimbra , Portugal

Abstract

ABSTRACT Measurements of neutron star mass and radius or tidal deformability deliver unique insight into the equation of state (EOS) of cold dense matter. EOS inference is very often done using generalized parametric or non-parametric models, which deliver no information on composition. In this paper, we consider a microscopic nuclear EOS model based on a field theoretical approach. We show that current measurements from NICER and gravitational wave observations constrain primarily the symmetric nuclear matter EOS. We then explore what could be delivered by measurements of mass and radius at the level anticipated for future large-area X-ray timing telescopes. These should be able to place very strong limits on the symmetric nuclear matter EOS, in addition to constraining the nuclear symmetry energy that determines the proton fraction inside the neutron star.

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

ERC

MCIN

Fundação para a Ciência e a Tecnologia

Publisher

Oxford University Press (OUP)

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