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arXiv 0710.1637astro-ph
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参数化晚期宇宙的宇宙模型

A Cosmic Model Parameterizing the late Universe

Xin-He Meng, Meng Su, Zheng Wang

摘要:

提出了一个简单的加速宇宙学模型来解释暗能量之谜。我们将暗能量和曲率项的贡献压缩到一个有效的参数中,以减少参数简并,并发现任何偏离平坦协调$Λ$ CDM模型的地方,认为区分宇宙加速的动力学和非动力学来源是分析当前和未来暗能量数据集的最佳出发点。我们还结合最近的Ia型超新星(SNIa)、宇宙微波背景(CMB)和重子振荡(BAO)来约束模型参数空间。利用简并图和包含高红移信息的伽马射线暴(GRB)样品数据分析,讨论了模型参数之间的简并关系。分析结果表明,我们的模型是符合宇宙学观测。我们试图区分曲率的影响,从特别缩放的暗能量组件作为参数。我们研究了大尺度结构的线性增长,并给出了模型中有效的暗能量状态方程以及物质分量与暗能量的数值符合。

英文摘要:

A simple speed-up cosmology model is proposed to account for the dark energy puzzle. We condense contributions from dark energy and curvature term into one effective parameter in order to reduce parameter degeneracies and to find any deviation from flat concordance $Λ$CDM model, by considering that the discrimination between dynamical and non-dynamical sources of cosmic acceleration as the best starting point for analyzing dark energy data sets both at present and in future. We also combine recent Type Ia Supernova (SNIa), Cosmic Microwave Background (CMB) and Baryon Oscillation (BAO) to constrain model parameter space. Degeneracies between model parameters are discussed by using both degeneracy diagram and data analysis including high redshift information from Gamma Ray Bursts (GRBs) sample. The analysis results show that our model is consistent with cosmological observations. We try to distinct the curvature effects from the specially scaling dark energy component as parameterized. We study the linear growth of large scale structure, and finally show the effective dark energy equation of state in our model and how the matter component coincidences with the dark energy numerically.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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