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arXiv 1603.09073astro-ph.CO
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大尺度结构的曲率约束

Curvature constraints from Large Scale Structure

Enea Di Dio, Francesco Montanari, Alvise Raccanelli, Ruth Durrer, Marc Kamionkowski, Julien Lesgourgues

摘要:

我们修改了CLASS代码,以包括相对论性星系数计数在空间弯曲的几何形状,我们提出的形式主义和研究相对论性修正对空间曲率的影响。新版本的代码现已公开。使用Fisher矩阵分析,我们调查如何测量的空间曲率参数$Ω_K$与未来的星系调查的影响相对论效应,影响观测的大尺度星系分布。这些效应包括宇宙放大率、多普勒项和引力势项的贡献。作为一个应用,我们考虑角度和红移相关的功率谱,这是特别适合于模型独立的宇宙学约束。我们计算我们的结果为一个有代表性的深,宽和光谱调查,我们的结果显示的空间曲率参数估计的相对论修正的影响。我们表明,曲率参数上的约束可能是强烈的偏见,特别是,宇宙放大率不包括在分析中。其他相对论效应在所研究的构型中是次要的。我们分析了曲率和其他宇宙学参数的估计最佳拟合值的变化如何取决于放大率偏差参数,并发现如果在分析中没有适当考虑这一项,预计会出现显著的偏差。

英文摘要:

We modified the CLASS code in order to include relativistic galaxy number counts in spatially curved geometries; we present the formalism and study the effect of relativistic corrections on spatial curvature. The new version of the code is now publicly available. Using a Fisher matrix analysis, we investigate how measurements of the spatial curvature parameter $Ω_K$ with future galaxy surveys are affected by relativistic effects, which influence observations of the large scale galaxy distribution. These effects include contributions from cosmic magnification, Doppler terms and terms involving the gravitational potential. As an application, we consider angle and redshift dependent power spectra, which are especially well suited for model independent cosmological constraints. We compute our results for a representative deep, wide and spectroscopic survey, and our results show the impact of relativistic corrections on the spatial curvature parameter estimation. We show that constraints on the curvature parameter may be strongly biased if, in particular, cosmic magnification is not included in the analysis. Other relativistic effects turn out to be subdominant in the studied configuration. We analyze how the shift in the estimated best-fit value for the curvature and other cosmological parameters depends on the magnification bias parameter, and find that significant biases are to be expected if this term is not properly considered in the analysis.

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