Comparison of the linear bias models in the light of the Dark Energy Survey

TL;DR

This study compares various linear bias models within the $$CDM cosmology against observational data from the Dark Energy Survey and SDSS, finding all models fit well and providing insights into dark matter halo masses and cosmological parameters.

Contribution

It evaluates and compares the performance of different linear bias models using DES and SDSS data, highlighting their consistency and implications for dark matter halos and cosmological parameters.

Findings

All bias models fit the LRG data well.

Dark matter halo masses range between ~6x10^{12} and 1.4x10^{13} h^{-1} M_{\u0000}.

Cosmological parameter _m = 0.30 b1 0.01 is consistent with other probes.

Abstract

The evolution of the linear and scale independent bias, based on the most popular dark matter bias models within the $\Lambda$CDM cosmology, is confronted to that of the Dark Energy Survey (DES) Luminous Red Galaxies (LRGs). Applying a $\chi^2$ minimization procedure between models and data we find that all the considered linear bias models reproduce well the LRG bias data. The differences among the bias models are absorbed in the predicted mass of the dark-matter halo in which LRGs live and which ranges between $\sim 6 \times 10^{12} h^{-1} M_{\odot}$ and $1.4 \times 10^{13} h^{-1} M_{\odot}$, for the different bias models. Similar results, reaching however a maximum value of $\sim 2\times 10^{13} h^{-1} M_{\odot}$, are found by confronting the SDSS (2SLAQ) Large Red Galaxies clustering with theoretical clustering models, which also include the evolution of bias. This later analysis also provides a value of $\Omega_{m}=0.30\pm 0.01$, which is in excellent agreement with recent joint analyses of different cosmological probes and the reanalysis of the Planck data.