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Constraining the dense matter equation of state with new NICER mass-radius measurements and new chiral effective field theory inputs

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arxiv 2407.06790 v2 pith:D32B2BS3 submitted 2024-07-09 astro-ph.HE astro-ph.SRnucl-exnucl-th

classification astro-ph.HEastro-ph.SRnucl-exnucl-th
keywords neutronodotstarmodelradiusdifferentmatterresults
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Pulse profile modeling of X-ray data from NICER is now enabling precision inference of neutron star mass and radius. Combined with nuclear physics constraints from chiral effective field theory ($\chi$EFT), and masses and tidal deformabilities inferred from gravitational wave detections of binary neutron star mergers, this has lead to a steady improvement in our understanding of the dense matter equation of state (EOS). Here we consider the impact of several new results: the radius measurement for the 1.42$\,M_\odot$ pulsar PSR J0437$-$4715 presented by Choudhury et al. (2024), updates to the masses and radii of PSR J0740$+$6620 and PSR J0030$+$0451, and new $\chi$EFT results for neutron star matter up to 1.5 times nuclear saturation density. Using two different high-density EOS extensions -- a piecewise-polytropic (PP) model and a model based on the speed of sound in a neutron star (CS) -- we find the radius of a 1.4$\,M_\odot$ (2.0$\,M_\odot$) neutron star to be constrained to the 95% credible ranges $12.28^{+0.50}_{-0.76}\,$km ($12.33^{+0.70}_{-1.34}\,$km) for the PP model and $12.01^{+0.56}_{-0.75}\,$km ($11.55^{+0.94}_{-1.09}\,$km) for the CS model. The maximum neutron star mass is predicted to be $2.15^{+0.14}_{-0.16}\,$$M_\odot$ and $2.08^{+0.28}_{-0.16}\,$$M_\odot$ for the PP and CS model, respectively. We explore the sensitivity of our results to different orders and different densities up to which $\chi$EFT is used, and show how the astrophysical observations provide constraints for the pressure at intermediate densities. Moreover, we investigate the difference $R_{2.0} - R_{1.4}$ of the radius of 2$\,M_\odot$ and 1.4$\,M_\odot$ neutron stars within our EOS inference.

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Cited by 6 Pith papers

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

  1. Bayesian inference of neutron star crust properties using an ab initio-benchmarked meta-model

    nucl-th 2025-06 conditional novelty 7.0 of 10

    A blended meta-model with ab initio-based low-density correction reduces neutron star crust uncertainties and shifts crust-core transition density, pressure, and crustal moment of inertia in Bayesian inference.

  2. Constraining Hamiltonians from chiral effective field theory with neutron-star data

    nucl-th 2026-01 conditional novelty 6.0 of 10

    Neutron-star data, run through fast emulators, directly constrain the six two-nucleon low-energy constants of an N2LO chiral Hamiltonian, with future detectors able to strongly pin down the 3P1 channel.

  3. Systematics from NICER Pulse Profiles Drive Uncertainty in Multi-Messenger Inference of the Neutron Star Equation of State

    astro-ph.HE 2025-07 conditional novelty 6.0 of 10

    A joint Bayesian analysis of NICER, gravitational wave, radio, and nuclear data shows that NICER pulse profile modeling choices dominate equation of state uncertainties and prefer the ST+PDT model over the PDT-U model...

  4. A NICER view of the millisecond pulsar PSR J2124$-$3358: evidence for a helium atmosphere

    astro-ph.HE 2026-07 conditional novelty 5.5 of 10

    X-PSI modeling of NICER/Chandra data for PSR J2124−3358 substantially prefers a helium atmosphere, giving M = 1.8 ± 0.5 M⊙ and Req = 11.7^{+2.6}_{-3.0} km with two slightly non-antipodal hot spots.

  5. Crust (Unified) Tool for Equation-of-state Reconstruction (CUTER) v2

    astro-ph.HE 2025-06 accept novelty 4.0 of 10

    CUTER v2 reconstructs the missing or inconsistent low-density crust of arbitrary neutron-star equations of state, producing unified EoSs whose global properties match original models to within about one percent.

  6. Toward a Unified Understanding of the Dense Matter Equation of State

    nucl-th 2025-11 conditional novelty 2.0 of 10

    A review of three Bayesian/computational frameworks for combining heavy-ion and astrophysical constraints on the dense-matter equation of state, plus a proposed unified integration workflow.

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