arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2008.12741astro-ph.CO
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平坦和非平坦暗能量模型中的生长因子参数化与数值解

The growth factor parametrization versus numerical solutions in flat and non-flat dark energy models

A. M. Velásquez-Toribio, Júlio C. Fabris

摘要:

在目前的调查中,我们使用$ f σ_ {8} $的观测数据,以确定在平面$(Ω_{m0},σ_{8})$观测约束,使用两种不同的方法:生长因子参数化和密度对比的数值解方法,$δ_{m}$。我们验证了这两种方法之间的对应性的三个模型的加速膨胀:$ΛCDM$模型,$ w_{0}w_{a} CDM$模型和运行宇宙常数$RCC$模型。在所有情况下,我们也考虑曲率作为自由参数。这种对应关系的研究是重要的,因为生长因子参数化方法经常被用来区分竞争模型。我们的研究结果,我们可以确定,有一个很好的对应关系,使用这两种方法的观测约束。我们还测试了$ fσ_ {8} $数据约束$ ΛCDM $模型中曲率参数的能力。为此,我们使用高斯过程的非参数重建。我们的研究结果表明,$ fσ_ {8}$数据与目前的精度水平不允许区分一个平坦的和非平坦的宇宙。

英文摘要:

In the present investigation we use observational data of $ f σ_ {8} $ to determine observational constraints in the plane $(Ω_{m0},σ_{8})$ using two different methods: the growth factor parametrization and the numerical solutions method for density contrast, $δ_{m}$. We verified the correspondence between both methods for three models of accelerated expansion: the $ΛCDM$ model, the $ w_{0}w_{a} CDM$ model and the running cosmological constant $RCC$ model. In all case we consider also curvature as free parameter. The study of this correspondence is important because the growth factor parametrization method is frequently used to discriminate between competitive models. Our results we allow us to determine that there is a good correspondence between the observational constrains using both methods. We also test the power of the $ fσ_ {8} $ data to constraints the curvature parameter within the $ ΛCDM $ model. For this we use a non-parametric reconstruction using Gaussian processes. Our results show that the $ fσ_ {8}$ data with the current precision level does not allow to distinguish between a flat and non-flat universe.

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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