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arXiv 1809.00523astro-ph.GA
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ELUCID。VI:局部宇宙中星系分布的宇宙方差

ELUCID. VI: Cosmic variance of galaxy distribution in the local Universe

Yangyao Chen, Houjun Mo, Cheng Li, Huiyuan Wang, Xiaohu Yang, Shuang Zhou, Youcai Zhang

摘要:

Halo合并树由ELUCID构造,ELUCID是斯隆数字巡天(SDSS)卷中的约束$N$体模拟。根据星系形成的经验模型,这些合并树被用来填充暗物质晕与星系。构造了SDSS天区的模拟星表,用于研究低$z$宇宙中星系的空间分布。这些模拟目录被用来量化宇宙方差的星系恒星质量函数(GSMF)测量的SDSS调查。由SDSS震级限制样本估计的GSMF会受到$z<0.03$低密度区存在的显著影响,因此函数的低质量端会被显著低估。几个现有的方法设计来处理的宇宙方差的影响,估计GSMF进行了测试,没有发现能够完全占宇宙方差。我们提出了一种基于暗物质晕中的条件恒星质量函数的方法,它可以提供一个无偏的估计的全球GSMF。该方法的应用程序的SDSS数据表明,GSMF有一个显着的上升在$M_*< 10^{9.5} h^{-1}{\rm M}_\odot$,这已错过了许多早期的测量本地GSMF。

英文摘要:

Halo merger trees are constructed from ELUCID, a constrained $N$-body simulation in the Sloan Digital Sky Survey (SDSS) volume. These merger trees are used to populate dark matter halos with galaxies according to an empirical model of galaxy formation. Mock catalogs in the SDSS sky coverage are constructed, which can be used to study the spatial distribution of galaxies in the low-$z$ Universe. These mock catalogs are used to quantify the cosmic variance in the galaxy stellar mass function (GSMF) measured from the SDSS survey. The GSMF estimated from the SDSS magnitude-limited sample can be affected significantly by the presence of the under-dense region at $z<0.03$, so that the low-mass end of the function can be underestimated significantly. Several existing methods designed to deal with the effects of the cosmic variance in the estimate of GSMF are tested, and none is found to be able to fully account for the cosmic variance. We propose a method based on the conditional stellar mass functions in dark matter halos, which can provide an unbiased estimate of the global GSMF. The application of the method to the SDSS data shows that the GSMF has a significant upturn at $M_*< 10^{9.5} h^{-1}{\rm M}_\odot$, which has been missed in many earlier measurements of the local GSMF.

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