Clustering properties of high redshift red galaxies in SA22 from the UKIDSS DXS
J. -W. Kim, A. C. Edge, D. A. Wake, J. P. Stott

TL;DR
This study measures the clustering of high-redshift red galaxies in a large survey area, revealing complex clustering behaviors and differences among galaxy types, providing the most representative large-scale clustering data for massive galaxies at z>1.
Contribution
It presents the first large-area, deep near-infrared survey analysis of galaxy clustering at high redshift, including detailed clustering properties of EROs and DRGs, and investigates cosmic variance effects.
Findings
Both EROs and DRGs are strongly clustered with double power-law correlation functions.
Clustering strength varies with galaxy brightness and color, indicating different galaxy populations.
Cosmic variance impacts clustering measurements, emphasizing the importance of large-area surveys.
Abstract
Deep, wide, near-infrared imaging surveys provide an opportunity to study the clustering of various galaxy populations at high redshift on the largest physical scales. We have selected extremely red objects (EROs) and distant red galaxies (DRGs) in SA22 from the near-infrared photometric data of the UKIDSS Deep eXtragalactic Survey (DXS) and optical data from CTIO covering 3.3~deg. This is the largest contiguous area studied to sufficient depth to select these distant galaxies to date. The angular two-point correlation functions and the real space correlation lengths of each population are measured and show that both populations are strongly clustered and that the clustering cannot be parameterised with a single power law. The correlation function of EROs shows a double power law with the inflection at 0.6--1.2 (0.6--1.2~h~Mpc). The bright…
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