Bayesian Analysis for Extracting Properties of the Nuclear Equation of State from Observational Data Including Tidal Deformability from GW170817
Bayesian Analysis for Extracting Properties of the Nuclear Equation of State from Observational Data Including Tidal Deformability from GW170817
复制标题
用于从包括 GW170817 潮汐变形能力在内的观测数据中提取核状态方程性质的贝叶斯分析
作者：
A. Ayriyan;D. Alvarez;D. Blaschke;H. Grigorian
我们开发了一种贝叶斯分析方法，用于在紧凑恒星物理的一组约束下选择最可能的状态方程，其中现在包括GW170817的潮汐变形性。我们首次将该方法应用于基于强子相（KVORcut02）和夸克物质相（SFM α）的现实模型的双参数混合状态方程族，它们产生了质量-半径图中的第三族混合恒星。其中一个参数（α）表征了夸克物质的弦翻转模型中弦张力的筛选，而另一个参数（Δ P）属于混合相结构，它模拟了面食相的热力学，并将麦克斯韦结构作为Δ P = 0的极限情况。我们给出了致密星的质量、半径和潮汐变形能力的相应结果，并利用新开发的贝叶斯分析方法的经验数据得到了模型参数在其考虑范围内的概率。
We develop a Bayesian analysis method for selecting the most probable equation of state under a set of constraints from compact star physics, which now include the tidal deformability from GW170817. We apply this method for the first time to a two-parameter family of hybrid equations of state that is based on realistic models for the hadronic phase (KVORcut02) and the quark matter phase (SFM α ) which produce a third family of hybrid stars in the mass–radius diagram. One parameter ( α ) characterizes the screening of the string tension in the string-flip model of quark matter while the other ( Δ P ) belongs to the mixed phase construction that mimics the thermodynamics of pasta phases and includes the Maxwell construction as a limiting case for Δ P = 0 . We present the corresponding results for compact star properties like mass, radius and tidal deformabilities and use empirical data for them in the newly developed Bayesian analysis method to obtain the probabilities for the model parameters within their considered range.
影响因子：
7.9
作者：
Bauswein, Andreas;Just, Oliver;Stergioulas, Nikolaos
通讯作者：
Stergioulas, Nikolaos
影响因子：
8.6
作者：
Abbott, B. P.;Abbott, R.;Zweizig, J.
通讯作者：
Zweizig, J.