We use a Bayesian inference analysis to explore the sensitivity of Taylor expansion parameters of the nuclear equation of state (EOS) to the neutron star dimensionless tidal deformability ($\mathrm{\ensuremath{\Lambda}}$) on… Click to show full abstract
We use a Bayesian inference analysis to explore the sensitivity of Taylor expansion parameters of the nuclear equation of state (EOS) to the neutron star dimensionless tidal deformability ($\mathrm{\ensuremath{\Lambda}}$) on 1- to 2-solar-mass neutron stars. A global power law dependence between tidal deformability and the compactness parameter ($M/R$) is verified over this mass region. To avoid superfluous correlations between the expansion parameters, we use a correlation-free EOS model based on a recently published metamodeling approach. We find that assumptions in the prior distribution strongly influence the constraints on $\mathrm{\ensuremath{\Lambda}}$. The $\mathrm{\ensuremath{\Lambda}}$ constraints obtained from the neutron star merger event GW170817 prefer low values of ${L}_{\text{sym}}$ and ${K}_{\text{sym}}$, for a canonical neutron star with 1.4 solar masses. For a neutron star with mass $l1.6$ solar masses, ${L}_{\text{sym}}$ and ${K}_{\text{sym}}$ are highly correlated with the tidal deformability. For more massive neutron stars, the tidal deformability is more strongly correlated with higher order Taylor expansion parameters.
               
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