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arXiv 1504.04036astro-ph.CO
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用各向异性线关联函数研究星系巡天中的各向异性

The Anisotropic Line Correlation Function as a Probe of Anisotropies in Galaxy Surveys

Alexander Eggemeier, Thorsten Battefeld, Robert E. Smith, Jens Niemeyer

摘要:

我们提出了一个各向异性的概括线关联函数(ALCF)分离和量化相位信息的大尺度结构的星系。线关联函数探测结构形成的严格非线性状态,并且由于相位信息从功率谱中消失,线关联函数提供了基于两点统计的常用技术的补充工具。此外,它独立于线性偏置以及密度场模的高斯方差,因此在某些情况下,与双谱或类似的高阶统计相比,它也可以证明是有利的。然而,对于未来的应用来说,能够解释导致星系分布各向异性的观测效应是至关重要的。基于一些数值研究,我们发现,我们的ALCF是非常适合完成这一任务,我们演示了如何的Alcock Paczynski效应和运动学红移空间扭曲原则上可以通过ALCF测量。

英文摘要:

We propose an anisotropic generalisation of the line correlation function (ALCF) to separate and quantify phase information in the large-scale structure of galaxies. The line correlation function probes the strictly non-linear regime of structure formation and since phase information drops out of the power spectrum, the line correlation function provides a complementary tool to commonly used techniques based on two-point statistics. Furthermore, it is independent of linear bias as well as the Gaussian variance on the modulus of the density field and thus may also prove to be advantageous compared to the bispectrum or similar higher-order statistics for certain cases. For future applications it is vital, though, to be able to account for observational effects that cause anisotropies in the distribution of galaxies. Based on a number of numerical studies, we find that our ALCF is well suited to accomplish this task and we demonstrate how the Alcock-Paczynski effect and kinematical redshift-space distortions can in principle be measured via the ALCF.

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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