首页> 外文期刊>International journal of modern physics, D. Gravitation, astrophysics, cosmology >Exploring the dark universe: Constraints on dynamical dark energy models from CMB, BAO and growth rate measurements
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Exploring the dark universe: Constraints on dynamical dark energy models from CMB, BAO and growth rate measurements

机译:探索黑暗宇宙:CMB,BAO和生长速率测量的动态暗能模型的约束

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摘要

In order to explain the current acceleration of the universe, the fine-tuning problem of the cosmological constant A and the cosmic coincidence problem, different alternative models have been proposed in the literature. We use the most recent observational data from CMB (Planck 2018 final data release) and LSS (SUSS, WiggleZ, VIPERS) to constrain dynamical dark energy (DE) models. The CMB shift parameter, which traditionally has been used to determine the main cosmological parameters of the standard model ACDM, is employed in addition to data from redshift-space distortions through the growth parameter A(z) - f(z)sigma(8)(z) to constrain the mass variance as. BAO data are also used to study the history of the cosmological expansion and the main properties of DE. From the evolution of q(z), we found a slowdown of acceleration behavior at low redshifts, and by using the Akaike and Bayesian Information Criteria (AIC, BIC), we discriminate different models to find those that are better suited to the observational data, finding that the interacting dark energy (IDE) model is the most. favored by observational data, including information from SNIa and Hz. The analysis shows that the IDE model is followed closely by EDE and ACDM models, which in some cases fit better the observational data with individual probes.
机译:为了解释宇宙的当前加速度,在文献中提出了宇宙常数A和宇宙巧合问题的微调问题。我们使用来自CMB(Planck 2018最终数据发布)和LSS(Suss,Wigglez,Vipers)的最新观测数据来限制动态暗能(DE)模型。除了通过生长参数A(Z) - F(Z)Sigma(8)之外,还采用传统上用于确定标准模型ACDM的主要宇宙学参数的CMB移位参数。 (z)限制质量差异为。 BAO数据还用于研究宇宙学扩张的历史和DE的主要性质。从Q(Z)的演变,我们发现在低射频时的加速行为放缓,并通过使用Akaike和Bayesian信息标准(AIC,BIC),我们区分不同的模型来找到更适合观察数据的模型,发现相互作用的暗能(IDE)模型是最多的。受到观察数据的青睐,包括来自Snia和Hz的信息。分析表明,EDE和ACDM模型紧密地遵循IDE模型,在某些情况下,在某些情况下具有更好的具有单个探针的观测数据。

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