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Direct mapping of tidal deformability to the iso-scalar and iso-vector nuclear matter parameters

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arxiv 2305.11007 v3 pith:XX6Z6EF6 submitted 2023-05-18 nucl-th astro-ph.HEgr-qc

classification nucl-thastro-ph.HEgr-qc
keywords deformabilitynmpstidalmatternuclearparameterspropertiesdetermine
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Background: The equations of state (EoSs) which determine the properties of neutron stars (NSs) are often characterized by the iso-scalar and iso-vector nuclear matter parameters (NMPs). Recent attempts to relate the radius and tidal deformability of a NS to the individual NMPs have been inconclusive. These properties display strong correlations with the pressure of NS matter which depends on several NMPs. The knowledge of minimal NMPs that determine the NS properties will be necessary to address any connection between NS properties (e.g., tidal deformability) and that of finite nuclei. Purpose: To identify the important NMPs required to describe the tidal deformability of neutron star for astrophysically relevant range of their gravitational masses (1.2 -- 1.8 M$_\odot$) as encountered in the binary neutron star merger events. Method: We construct a large set of EoSs using four iso-scalar and five iso-vector NMPs. These EOSs are employed to perform a systematic analysis to isolate the NMPs that predominantly determine the tidal deformability, over a wide range of NS mass. The tidal deformability is then directly mapped to these NMPs. Results: The tidal deformability of the NS with mass 1.2-1.8 M$_\odot$ can be determined within 10$\%$ directly in terms of four nuclear matter parameters, namely, the incompressibility $K_0$ and skewness $Q_0$ of symmetric nuclear matter, and the slope $L_0$ and curvature parameter $K_{\rm sym,0}$ of symmetry energy. Conclusion: A function that quickly estimates the value of tidal deformability in terms of minimal nuclear matter parameters is developed. Our method can also be extended to other NS observables.

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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. Probing Neutron Star Interiors and the Properties of Cold Ultra-dense Matter with the SKAO

    astro-ph.HE 2026-07 accept novelty 3.5 of 10

    SKAO's sensitivity, surveys and sub-arraying will deliver tighter NS mass, MoI, spin, glitch and precession constraints that, with X-ray and GW data, probe cold ultra-dense matter.

  2. Fast and Accurate Prediction of Neutron Star Structure with Deep Neural Networks

    astro-ph.HE 2026-08 conditional novelty 3.0 of 10

    Feedforward and residual neural networks predict neutron star observables from piecewise polytropic EOS parameters with R^2>0.999 and a ~200x speedup over direct TOV integration.

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