The clustering of galaxies in the DESI imaging legacy surveys DR8: I. the luminosity and color dependent intrinsic clustering
Zhaoyu Wang, Haojie Xu, Xiaohu Yang, Yipeng Jing, Kai Wang, Hong Guo,, Fuyu Dong, Min He

TL;DR
This study applies a novel method to measure intrinsic galaxy clustering in the DESI DR8 survey, revealing dependencies on color, luminosity, and redshift, and providing high-precision results for cosmological and galaxy formation insights.
Contribution
It introduces a new approach to simultaneously model photometric redshift errors and intrinsic clustering, applied to the largest galaxy sample to date, with detailed analysis of galaxy bias and redshift uncertainties.
Findings
Red galaxies have smaller photometric redshift errors than blue galaxies.
Galaxy bias depends on color, luminosity, and redshift, with brighter, redder, higher-redshift galaxies more biased.
High-precision clustering measurements are obtained for 40 galaxy samples, informing cosmology and galaxy formation studies.
Abstract
In a recent study, we developed a method to model the impact of photometric redshift uncertainty on the two-point correlation function (2PCF). In this method, we can obtain both the intrinsic clustering strength and the photometric redshift errors simultaneously by fitting the projected 2PCF with two integration depths along the line-of-sight. Here we apply this method to the DESI Legacy Imaging Surveys Data Release 8 (LS DR8), the largest galaxy sample currently available. We separate galaxies into 20 samples in 8 redshift bins from to , and a few -band absolute magnitude bins, with . These galaxies are further separated into red and blue sub-samples according to their colors. We measure the projected 2PCFs for all these galaxy (sub-)samples, and fit them using our photometric redshift 2PCF model. We find that…
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Taxonomy
TopicsAdvanced Statistical Methods and Models · Statistical and numerical algorithms · Spectroscopy and Chemometric Analyses
