论文标题
揭示潮汐变形性与核对称能参数的相关性
Unveiling the correlations of tidal deformability with the nuclear symmetry energy parameters
论文作者
论文摘要
基于卡方的协方差方法使人们可以直接从一组拟合数据中估算与核物质有关的可观察物之间的相关性，而无需求助于核物质参数的分布（NMP）。这种方法用于研究中子星与斜率和核对称能的曲率参数的潮汐变形性的相关性，该核对称能的曲率参数由有限核的广泛拟合数据以及中子星的最大质量控制。在Hessian矩阵中隐式内置了与拟合数据一致的NMP分布的知识，这对于这种协方差方法至关重要。将我们的结果与明确使用NMP的分布相比，我们表明，拟合数据引起的NMP之间的适当相关性有助于加强潮汐变形性与对称能量参数的相关性，而没有它，上述相关性趋于消失。还强调了等值器NMP之间的相互作用。
The chi-squared based covariance approach allows one to estimate the correlations among desired observables related to nuclear matter directly from a set of fit data without taking recourse to the distributions of the nuclear matter parameters (NMPs). Such an approach is applied to study the correlations of tidal deformability of neutron star with the slope and the curvature parameters of nuclear symmetry energy governed by an extensive set of fit data on the finite nuclei together with the maximum mass of the neutron star. The knowledge of the distributions of NMPs consistent with the fit data is implicitly inbuilt in the Hessian matrix which is central to this covariance approach. Comparing our results with those obtained with the explicit use of the distributions of NMPs, we show that the appropriate correlations among NMPs as induced by the fit data are instrumental in strengthening the correlations of the tidal deformability with the symmetry energy parameters, without it, the said correlations tend to disappear. The interplay between isoscalar and isovector NMPs is also emphasized.
