Clustering analysis of high-redshift Luminous Red Galaxies in Stripe 82
Nikolaos Nikoloudakis (1), Tom Shanks (1), Utane Sawangwit (1,2), ((1) University of Durham,(2) National Astronomical Research Institute of, Thailand)

TL;DR
This study analyzes the clustering of high-redshift Luminous Red Galaxies in Stripe 82, revealing a complex power-law behavior, a bias factor of 2.74, and potential evidence for primordial non-Gaussianity, contributing to understanding galaxy evolution and cosmology.
Contribution
It provides the first detailed clustering analysis of z~1 LRGs in Stripe 82, including HOD modeling and implications for cosmological models.
Findings
Double power-law fit improves clustering description at small scales.
Bias factor of 2.74 indicates strong galaxy clustering.
Evidence suggests possible primordial non-Gaussianity with f_NL=90+/-30.
Abstract
We present a clustering analysis of Luminous Red Galaxies in SDSS Stripe 82. We study the angular 2-point correlation function, of 130,000 LRG candidates via colour-cut selections in izK with the K band coverage coming from UKIDSS LAS. We have used the cross-correlation technique of Newman (2008) to establish the LRG redshift distribution. Cross-correlating with SDSS QSOs, MegaZ-LRGs and DEEP2 galaxies implies an average LRG redshift of z~1 with space density, n_g~3.2 +/-0.16 x10^-4 h^3 Mpc^-3. For theta<10', w(theta) significantly deviates from a single power-law. A double power-law with a break at r_b~2.4 h^-1 Mpc fits the data better, with best-fit scale length, r_0,1=7.63+/-0.27 h^-1Mpc and slope gamma_1=2.01 +/-0.02 at small scales and r_0,2=9.92 +/-0.40 h^-1 Mpc and gamma_2=1.64 +/-0.04 at large scales. Due to the flat slope at large scales, we find that a standard LambdaCDM…
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