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Studies into the averaging problem: Macroscopic gravity and precision cosmology.

机译:研究平均问题:宏观引力和精确宇宙学。

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摘要

With the tremendous improvement in the precision of available astrophysical data in the recent past, it becomes increasingly important to examine some of the underlying assumptions behind the standard model of cosmology and take into consideration nonlinear and relativistic corrections which may affect it at percent precision level. Due to its mathematical rigor and fully covariant and exact nature, Zalaletdinov's macroscopic gravity (MG) is arguably one of the most promising frameworks to explore nonlinearities due to inhomogeneities in the real Universe. We study the application of MG to precision cosmology, focusing on developing a self-consistent cosmology model built on the averaging framework that adequately describes the large-scale Universe and can be used to study real data sets. We first implement an algorithmic procedure using computer algebra systems to explore new exact solutions to the MG field equations. After validating the process with an existing isotropic solution, we derive a new homogeneous, anisotropic and exact solution. Next, we use the simplest (and currently only) solvable homogeneous and isotropic model of MG and obtain an observable function for cosmological expansion using some reasonable assumptions on light propagation. We find that the principal modification to the angular diameter distance is through the change in the expansion history. We then linearize the MG field equations and derive a framework that contains large-scale structure, but the small scale inhomogeneities have been smoothed out and encapsulated into an additional cosmological parameter representing the averaging effect. We derive an expression for the evolution of the density contrast and peculiar velocities and integrate them to study the growth rate of large-scale structure. We find that increasing the magnitude of the averaging term leads to enhanced growth at late times. Thus, for the same matter content, the growth rate of large scale structure in the MG model is stronger than that of the standard model. Finally, we constrain the MG model using Cosmic Microwave Background temperature anisotropy data, the distance to supernovae data, the galaxy power spectrum, the weak lensing tomography shear-shear cross-correlations and the baryonic acoustic oscillations. We find that for this model the averaging density parameter is very small and does not cause any significant shift in the other cosmological parameters. However, it can lead to increased errors on some cosmological parameters such as the Hubble constant and the amplitude of the linear matter spectrum at the scale of 8;{-1}
机译:随着近来可用天体数据精度的极大提高,检查宇宙学标准模型背后的一些基本假设并考虑可能在百分精度水平上影响其的非线性和相对论校正变得越来越重要。由于数学上的严格性以及完全协变和精确的性质,Zalaletdinov的宏观引力(MG)可以说是探索由于真实宇宙中的不均匀性引起的非线性的最有前途的框架之一。我们研究了MG在精密宇宙学中的应用,着重于开发基于平均框架的自洽宇宙学模型,该模型充分描述了大型宇宙并可以用来研究真实数据集。我们首先使用计算机代数系统实现算法过程,以探索MG场方程的新精确解。在使用现有的各向同性解决方案验证过程后,我们得出了一个新的均质,各向异性和精确解。接下来,我们使用MG的最简单(且目前唯一)的可解均质和各向同性模型,并使用一些合理的光传播假设,获得可观的宇宙膨胀函数。我们发现对角直径距离的主要修改是通过扩展历史的变化。然后,我们将MG场方程线性化,并得出一个包含大规模结构的框架,但是小规模的不均匀性已被平滑化并封装到一个代表平均效应的附加宇宙学参数中。我们导出了密度对比和奇特速度的演化表达式,并将它们整合起来以研究大型结构的增长率。我们发现,提高平均期限的幅度会导致后期增长速度加快。因此,对于相同的物质含量,MG模型中大型结构的增长率要强于标准模型。最后,我们使用宇宙微波背景温度各向异性数据,到超新星数据的距离,星系功率谱,弱透镜层析X射线切变剪切互相关和重音声振荡来约束MG模型。我们发现,对于该模型,平均密度参数非常小,不会导致其他宇宙学参数发生任何重大变化。但是,它可能导致某些宇宙学参数的误差增加,例如哈勃常数和线性物质谱的幅度为8; {-1}

著录项

  • 作者

    Wijenayake, Tharake S.;

  • 作者单位

    The University of Texas at Dallas.;

  • 授予单位 The University of Texas at Dallas.;
  • 学科 Astrophysics.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 113 p.
  • 总页数 113
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 康复医学;
  • 关键词

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