论文标题
宇宙学数据的组合对宇宙滋扰参数和宇宙曲率的最小模型限制
Minimal model dependent constraints on cosmological nuisance parameters and cosmic curvature from combinations of cosmological data
论文作者
论文摘要
观察数据的宇宙扩张历史和较晚宇宙加速的研究取决于与数据相关的滋扰参数。例如，与IA型超新星观测值相关的IA型超新星的绝对峰幅度和与Baryon声学振荡观察相关的Baryon Drag Epoch处的Comving Sound Horizon是两个令人讨厌的参数。还考虑了与伽马射线爆发数据相关的滋扰参数。这些滋扰参数通过使用高斯过程回归方法与最小模型依赖性结合宇宙学观测来限制。在此方法中获得的界限可以用作数据分析的先验，同时相应地考虑观察数据。与这些滋扰参数一起，宇宙曲率密度参数也受到同时约束。我们发现，宇宙曲率密度参数的约束显示与平坦宇宙没有显着偏差。
The study of cosmic expansion history and the late time cosmic acceleration from observational data depends on the nuisance parameters associated with the data. For example, the absolute peak magnitude of type Ia supernova associated with the type Ia supernova observations and the comoving sound horizon at the baryon drag epoch associated with baryon acoustic oscillation observations are two nuisance parameters. The nuisance parameters associated with the the gamma-ray bursts data are also considered. These nuisance parameters are constrained by combining the cosmological observations using the Gaussian process regression method with minimal model dependence. The bounds obtained in this method can be used as the prior for the data analysis while considering the observational data accordingly. Along with these nuisance parameters, the cosmic curvature density parameter is also constrained simultaneously. We find that the constraints on the cosmic curvature density parameter show no significant deviations from a flat Universe.
