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Bayesian inference of the dense-matter equation of state encapsulating a first-order hadron-quark phase transition from observables of canonical neutron stars
Physical Review C ( IF 3.1 ) Pub Date : 2021-03-02 , DOI: 10.1103/physrevc.103.035802
Wen-Jie Xie , Bao-An Li

Background: The remarkable progress in recent multimessenger observations of both isolated neutron stars (NSs) and their mergers has provided some of the much needed data to improve our understanding about the equation of state (EOS) of dense neutron-rich matter. Various EOSs with or without some kinds of phase transitions from hadronic to quark matter (QM) have been widely used in many forward modelings of NS properties. Direct comparisons of these predictions with observational data sometimes also using χ2 minimizations have provided very useful constraints on the model EOSs. However, it is normally difficult to perform uncertain quantifications and analyze correlations of the EOS model parameters involved in forward modelings especially when the available data are still very limited.

中文翻译:

从典型中子星的可观测量封装一阶强子-夸克相变的稠密状态方程的贝叶斯推论

背景:最近对孤立中子星(NSs)及其合并的多信使观测取得了显着进展,这提供了一些急需的数据,以增进我们对富含中子的高密度物质的状态方程(EOS)的理解。各种带有或不带有从强子到夸克物质(QM)的相变的EOS已广泛用于NS特性的许多正向建模中。这些预测与观测数据的直接比较有时也使用χ2个最小化对模型EOS提供了非常有用的约束。但是,通常很难执行不确定的量化并分析正向建模中涉及的EOS模型参数的相关性,尤其是在可用数据仍然非常有限的情况下。
更新日期:2021-03-02
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