论文标题
研究宇宙学的动力学模型，并使用最近的观测和即将进行的重力波数据
Investigating the dynamical models of cosmology with recent observations and upcoming gravitational-wave data
论文作者
论文摘要
我们探索并比较了最近观察到标准宇宙学探针的能力以及重力波（GW）标准警报器对限制宇宙学参数的未来观察。它是在两个典型的宇宙学动力学模型的框架中进行的，即，具有$ω（z）=ω___________________/（1 +z）$的$ω_0Ω_a$ cdm型号，$ρ_x\ proptoptot proptoptoptoptotex $ proptoptotex $，$ proptotect $，$ proptote $，和$ρ_m$分别是暗能量和物质的能量密度。在宇宙学分析中，采用的数据集包括对标准宇宙学探针的最新观察结果，即IA型超新星（SNE IA），Baryon声学振荡（BAO）和宇宙微波背景（CMB），以及1000个模拟GW标准的siren样品，与1000个中子型中心型星星预期，预期的是第三名。在$ω_0Ω_A$ CDM和$ξ$索引模型的情况下，事实证明，相对于关节SNE+BAO+CMB样本，模拟GW样品可以将Hubble常数$ H_0 $的不确定性降低约50 \％；然而，SNE+BAO+CMB样本在限制其他参数时表现出更好的性能。此外，还应用了贝叶斯证据将动态模型与$λ$ CDM模型进行比较。从SNE+BAO+CMB样本中计算出的贝叶斯证据表明，$λ$ CDM模型是最受支持的模型。此外，$ω_0Ω_A$ CDM型号比$ξ$ - 索引模型更具竞争力。
We explore and compare the capabilities of the recent observations of standard cosmological probes and the future observations of gravitational-wave (GW) standard sirens on constraining cosmological parameters. It is carried out in the frameworks of two typical dynamical models of cosmology, i.e., the $ω_0ω_a$CDM model with $ω(z) = ω_0 +ω_a*z/(1+z)$, and the $ξ$-index model with $ρ_X\proptoρ_ma^ξ$, where $ω(z)$ is the dark energy equation of state, and $ρ_X$ and $ρ_m$ are the energy densities of dark energy and matter, respectively. In the cosmological analysis, the employed data sets include the recent observations of the standard cosmological probes, i.e., Type Ia supernovae (SNe Ia), baryon acoustic oscillation (BAO) and cosmic microwave background (CMB), and also the mock GW standard siren sample with 1000 merging neutron star events anticipated from the third-generation detectors. In the scenarios of both $ω_0ω_a$CDM and $ξ$-index models, it turns out that the mock GW sample can reduce the uncertainty of the Hubble constant $H_0$ by about 50\% relative to that from the joint SNe+BAO+CMB sample; nevertheless, the SNe+BAO+CMB sample demonstrates better performance on limiting other parameters. Furthermore, the Bayesian evidence is applied to compare the dynamical models with the $Λ$CDM model. The Bayesian evidences computed from the SNe+BAO+CMB sample reveal that the $Λ$CDM model is the most supported one; moreover, the $ω_0ω_a$CDM model is more competitive than the $ξ$-index model.
