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    Universal neutron skin correlations from a microscopic approach: Implications for neutron star structure, tidal deformability, and multimessenger astrophysics

    Hisham Anwer1,2,* and A. Adel2,†

    • *Contact author: hisham@cantab.net
    • †Contact author: ahmedadel@sci.cu.edu.eg

    Phys. Rev. D 113, 063022 – Published 11 March, 2026

    DOI: https://doi.org/10.1103/hh1n-chmt

    Abstract

    This work establishes a new universal linear correlation between the neutron skin thickness (ΔRnp) of heavy isotopic chains and that of the lead isotopic chain, characterized by extraordinary precision (R2>0.99). Through self-consistent Skyrme Hartree-Fock-Bogoliubov calculations, we compute comprehensive ground-state observables, validating our approach against established theoretical models and experimental data. Our central discovery is the robust correlation ΔRnp(Z,N)=m(Z)ΔRnp(Pb,N)+b(Z), which maintains remarkable fidelity across all neutron numbers. This universal correlation, rigorously confirmed across independent theoretical frameworks, establishes the Pb chain as a fundamental baseline for nuclear isovector properties. Calibrated using the PREX-II measurement, this relation tightly constrains the symmetry energy slope parameter L. This constraint, in turn, predicts neutron star global properties and tidal deformabilities that show striking consistency with multimessenger astrophysical constraints from the Neutron Star Interior Composition Explorer and LIGO/Virgo. Furthermore, the predicted enhancement of ΔRnp in neutron-rich actinides increases their fission barriers, directly impacting r-process nucleosynthesis by suppressing fission recycling and offering a resolution to the long-standing underprediction of the heaviest abundance peak. Collectively, these results provide the essential nuclear physics inputs required to interpret gravitational-wave signals, neutron star observations, and the origin of the heaviest elements, establishing a unified quantitative paradigm from finite nuclei to neutron stars.

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