中子星外壳中的核糊状物相图

Dynamics Pub Date : 2024-02-22 DOI:10.3390/dynamics4010009
Jorge A. Muñoz, Jorge A. López
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引用次数: 0

摘要

对两个神经网络进行了训练,以分别预测中子星地壳条件下核面食的欧拉特性和曲率,中子星物质的分子动力学模拟产生了0.1 < x < 0.5、0.040 fm-3 < ρ < 0.085 fm-3 (0.68 × 1014 g/cm3 < ρ < 1.43 × 1014 g/cm3)和0.2 MeV < T < 4.结合两个网络的预测结果,确定了在给定的 x、ρ 和 T 条件下热力学稳定的核面相,并计算了根据现有分子动力学数据区域推断的三维相图。丛林健身房和反丛林健身房结构在高温和低密度条件下普遍存在,而反丛林健身房和反格诺基结构则在高温和高密度条件下占主导地位。在低温、中等密度和质子含量条件下,存在多种结构。这项工作中使用的训练有素的模型是开放式的,可在公共资料库中查阅,以便与使用其他模型获得的面食进行比较。
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Phase Diagram of Nuclear Pastas in Neutron Star Crusts
Two neural networks were trained to predict, respectively, the Euler characteristic and the curvature of nuclear pastas in neutron star crust conditions generated by molecular dynamics simulations of neutron star matter with 0.1 < x < 0.5, 0.040 fm−3 < ρ < 0.085 fm−3 (0.68 × 1014 g/cm3 < ρ < 1.43 × 1014 g/cm3), and 0.2 MeV < T < 4.0 MeV, where x is proton content, the density is ρ, and the temperature is T. The predictions of the two networks were combined to determine the nuclear pasta phase that is thermodynamically stable at a given x, ρ, and T, and a three-dimensional phase diagram that extrapolated slightly the regions of existing molecular dynamics data was computed. The jungle gym and anti-jungle gym structures are prevalent at high temperature and low density, while the anti-jungle gym and anti-gnocchi structures dominate at high temperature and high density. A diversity of structures exist at low temperatures and intermediate density and proton content. The trained models used in this work are open access and available at a public repository to promote comparison to pastas obtained with other models.
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