Learning about neutron star composition from the slope of the mass-radius diagram
arXiv:2506.00550 · doi:10.1103/r7gk-kcmn
Abstract
The slope of the neutron star mass-radius curve, , is studied to understand the information it may carry about the composition of neutron stars, particularly with regard to the presence of non-nucleonic degrees of freedom. This study uses two large sets of relativistic mean-field equations of state with either nucleonic or nucleonic and hyperonic degrees of freedom, and imposes constraints obtained from GW170817 and the pulsars PSR J0030+0451 and PSR J0740+6620. It is shown that: i) some mass-radius curves are characterized by a negative slope from one solar mass up to the maximum mass; ii) other equations of state (EoS) have a positive slope for a given range of masses below the maximum star mass. Within the set of models considered, the first set includes only a very small number of hyperonic EoS: less than 0.5\% of the total number of hyperonic stars and approximately one third of the nucleonic EoS. We have also analyzed the sign of the slope for neutron star masses of 1.2, 1.4 and 1.8. Only approximately 1\% of hyperonic equations of state (EoS) predict a negative slope for 1.4 stars, whereas over 90\% of nucleonic stars have a negative slope at this mass. Finally, almost all stars have a negative slope at 1.8. A positive slope at 1.4 may indicate the presence of non-nucleonic degrees of freedom within neutron stars. The nuclear matter property that distinguishes the different scenarios most clearly is the curvature of the symmetry energy. Nucleonic EoSs with a positive slope predict the highest values, which can exceed 100 MeV.
10 pages, 4 figures, new title, matches published version
References in corpus (26)
- Shapiro delay measurement of a two solar mass neutron star
- A Massive Pulsar in a Compact Relativistic Binary
- GW190814: Gravitational Waves from the Coalescence of a 23 M Black Hole with a 2.6 M Compact Object
- PSR J0030+0451 Mass and Radius from NICER Data and Implications for the Properties of Neutron Star Matter
- A NICER View of PSR J0030+0451: Millisecond Pulsar Parameter Estimation
- Neutron-Rich Nuclei in Heaven and Earth
- Hyperon Puzzle: Hints from Quantum Monte Carlo Calculations
- Reconstructing the neutron-star equation of state with gravitational-wave detectors from a realistic population of inspiralling binary neutron stars
- Estimation of the effect of hyperonic three-body forces on the maximum mass of neutron stars
- Trace anomaly as signature of conformality in neutron stars
- PSR J1810+1744: Companion Darkening and a Precise High Neutron Star Mass
- The Equation of State for the Nucleonic and Hyperonic Core of Neutron Stars
- Neutron stars with hyperon cores: stellar radii and EOS near nuclear density
- Relativistic description of dense matter equation of state and compatibility with neutron star observables: a Bayesian approach
- Spanning the full range of neutron star properties within a microscopic description
- The slope, the hill, the drop, and the swoosh: Learning about the nuclear matter equation of state from the binary Love relations
- Astrophysical implications on hyperon couplings and hyperon star properties with relativistic equations of states
- Bayesian inference of signatures of hyperons inside neutron stars
- Constraining a relativistic mean field model using neutron star mass-radius measurements II: Hyperonic models
- Bayesian Inference of Fine-Features of Nuclear Equation of State from Future Neutron Star Radius Measurements to 0.1km Accuracy
- Constraining the equation of state in neutron-star cores via the long-ringdown signal
- Novel Scalings of Neutron Star Properties from Analyzing Dimensionless Tolman--Oppenheimer--Volkoff Equations
- Constraining neutron star matter from the slope of the mass-radius curves
- Bayesian analysis of hybrid neutron star EOS constraints within an instantaneous nonlocal chiral quark matter model
- Hyperonic uncertainties in neutron stars, mergers and supernovae
- Detecting Hyperons in neutron stars -- a machine learning approach