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∗<109.5h−1M⊙, which has been missed in many earlier measurements of the local GSMF.
@article{arxiv.1809.00523,
title = {ELUCID. VI: Cosmic variance of galaxy distribution in the local Universe},
author = {Yangyao Chen and Houjun Mo and Cheng Li and Huiyuan Wang and Xiaohu Yang and Shuang Zhou and Youcai Zhang},
journal= {arXiv preprint arXiv:1809.00523},
year = {2019}
}
Comments
16 pages, 15 figures, 1 table. Submitted to ApJ. Comments are welcomed