Pith. sign in

REVIEW 2 cited by

Bayesian inference of neutron-star observables based on effective nuclear interactions

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2301.07904 v2 pith:P32PC7B7 submitted 2023-01-19 nucl-th astro-ph.HE

classification nucl-thastro-ph.HE
keywords modelnuclearbayesianconstraintsdependenceenergykidsmatter
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
abstract

Based on the Skyrme-Hartree-Fock model (SHF) as well as its extension (the Korea-IBS-Daegu-SKKU (KIDS) model) and the relativistic mean-field (RMF) model, we have studied the constraints on the parameters of the nuclear matter equation of state (EOS) from adopted astrophysical observables using a Bayesian approach. While the masses and radii of neutron stars generally favors a stiff isoscalar EOS and a moderately soft nuclear symmetry energy, model dependence on the constraints is observed and mostly originates from the incorporation of higher-order EOS parameters and difference between relativistic and non-relativistic models. At twice saturation density, the value of the symmetry energy is constrained to be $48^{+15}_{-11}$ MeV in the standard SHF model, $48^{+8}_{-15}$ MeV in the KIDS model, and $48^{+5}_{-6}$ MeV in the RMF model, around their maximum {\it a posteriori} values within $68\%$ confidence intervals. Our study helps to obtain a robust constraint on nuclear matter EOS, and meanwhile, to understand the model dependence of the results.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Bayesian inferences on covariant density functionals from multimessenger astrophysical data: The impacts of likelihood functions of low density matter constraints

    nucl-th 2025-05 conditional novelty 5.0 of 10

    Using a uniform instead of Gaussian likelihood for low-density nuclear constraints leaves neutron star radii and masses nearly unchanged, but shifts the inferred nuclear incompressibility.

  2. Bayesian constraints on covariant density functional equations of state of compact stars with new NICER mass-radius measurements

    hep-ph 2024-12 conditional novelty 5.0 of 10

    Bayesian fits that include the 2024 NICER results for PSR J0437 and J1231 narrow the allowed radius range for canonical-mass neutron stars to roughly 12.5 to 12.8 km in covariant density functional models.

Pith tools