论文标题

空隙统计中的空隙和光晕作为宇宙膨胀历史的探测

Voids and Halos in Voids statistics as a probe of the Expansion History of the Universe

论文作者

Parkavousi, Laya, Kameli, Hamed, Baghram, Shant

论文摘要

宇宙中的结构被布置到宇宙网络中。结构的分布,统计和进化可以用作宇宙学模型的探针。我们研究了游览集理论(EST)中空隙和暗物质卤素内的数量密度。我们在球形和椭圆形塌陷模型中研究了EST的Markov和非马尔科夫框架。之后,我们比较了标准$λ$ CDM中的空隙和晕圈的数量密度和重建模型。重建模型是基于背景观测值的模型无关的重建。这项工作探讨了不同EST框架中崩溃模型障碍对空隙统计和晕孔中的统计量的影响。最后,我们发现宇宙学模型可以通过$ 1.0-2.5 $ REDSHIFT范围内的晕圈数量密度来区分。在$ z \ sim1.9 $中观察到最大差异。

Structures in the Universe are arranged into the cosmic web. Distributions, statistics, and evolutions of the structures can be used as probes for cosmological models. We investigate the number density of voids and dark matter halos-in-voids in the Excursion Set Theory (EST). We study the Markov and non-Markov frameworks of EST in both spherical and ellipsoidal collapse models. Afterward, we compare the number density of voids and halos-in-voids in the standard $Λ$CDM and the reconstructed model. The reconstructed model is a model-independent reconstruction based on background observations. This work explores the effects of the collapse model barrier in the different EST frameworks on the statistics of voids and the statistics of halos-in-voids. Finally, we find the hint that cosmological models can be distinguished by the number density of halos-in-voids in the $1.0-2.5$ redshift range. The maximum difference is observed in $z\sim1.9$.

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