论文标题

中子星形壳模型的先前概率分布

Prior probability distributions of neutron star crust models

论文作者

Balliet, Lauren, Newton, William, Cantu, Sarah, Budimir, Srdan

论文摘要

为了充分利用多面天文学和核数据集,需要使用中子星模型的概率分布,这些模型可用于将误差从一个域传播到另一个域。为此,我们采取步骤朝着一致的模型迈出一致的模型,突出显示发生模型不一致的地方并评估所得模型的不确定性。使用两个核对称能量参数的分布 - 一个均匀,另一个基于纯中子物质理论,我们准备了两个中子星体内皮模型的合奏。我们在可压缩的液滴模型(CLDM)中使用扩展的Skyrme能量密度。我们将CLDM的表面参数与地壳核的量子3D Hartree-Fock计算。所有模型预测质量的50%以上,厚度为15%的地壳,包括面食,中位数分别为62%和30%。我们还为地壳组成随密度的函数提供了68%和95%的范围。我们检查了地壳核边界与意大利面过渡性能之间的关系,面食层的厚度,饱和度和亚饱和密度的对称能量以及208pb和48ca的中子皮肤。我们使用最大信息系数量化了相关性,该信息系数可以有效地表征非线性关系。中子皮,核质量和巨大共振的信息以及对PNM的理论约束的未来测量将能够对面食和地壳核心边界的位置以及地壳中的面食量放置约束。

To make best use of multi-faceted astronomical and nuclear data-sets, probability distributions of neutron star models that can be used to propagate errors consistently from one domain to another are required. We take steps toward a consistent model for this purpose, highlight where model inconsistencies occur and assess the resulting model uncertainty. Using two distributions of nuclear symmetry energy parameters - one uniform, the other based on pure neutron matter theory, we prepare two ensembles of neutron star inner crust models. We use an extended Skyrme energy-density functional within a compressible liquid drop model (CLDM). We fit the surface parameters of the CLDM to quantum 3D Hartree-Fock calculations of crustal nuclei. All models predict more than 50% of the crust by mass and 15% of the crust by thickness comprises pasta with medians of around 62% and 30% respectively. We also present 68% and 95% ranges for the crust composition as a function of density. We examine the relationships between crust-core boundary and pasta transition properties, the thickness of the pasta layers, the symmetry energy at saturation and sub-saturation densities and the neutron skins of 208Pb and 48Ca. We quantify the correlations using the maximal information coefficient, which can effectively characterize non-linear relationships. Future measurements of neutron skins, information from nuclear masses and giant resonances, and theoretical constraints on PNM will be able to place constraints on the location of the pasta and crust-core boundaries and the amount of pasta in the crust.

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