Cosmological parameter constraints from SDSS luminous red galaxies: a new treatment of large-scale clustering

TL;DR

This paper introduces a new model for large-scale galaxy clustering analysis, combining LRG data with CMB and supernovae measurements to refine cosmological parameters within the Lambda-CDM framework and assess dark energy properties.

Contribution

The authors develop a novel model for the correlation function that accurately captures BAO features and large-scale shape, improving cosmological parameter constraints from galaxy clustering data.

Findings

Consistent cosmological parameters with previous studies

No strong evidence for evolving dark energy equation of state

Large scale structure data constrains dark energy to w_DE=-1.05+-0.15

Abstract

We apply a new model for the spherically averaged correlation function at large pair separations to the measurement of the clustering of luminous red galaxies (LRGs) made from the SDSS by Cabre and Gaztanaga(2009). Our model takes into account the form of the BAO peak and the large scale shape of the correlation function. We perform a Monte Carlo Markov chain analysis for different combinations of datasets and for different parameter sets. When used in combination with a compilation of the latest CMB measurements, the LRG clustering and the latest supernovae results give constraints on cosmological parameters which are comparable and in remarkably good agreement, resolving the tension reported in some studies. The best fitting model in the context of a flat, Lambda-CDM cosmology is specified by Omega_m=0.261+-0.013, Omega_b=0.044+-0.001, n_s=0.96+-0.01, H_0=71.6+-1.2 km/s/Mpc and sigma_8=0.80+-0.02. If we allow the time-independent dark energy equation of state parameter to vary, we find results consistent with a cosmological constant at the 5% level using all data sets: w_DE=-0.97+-0.05. The large scale structure measurements by themselves can constrain the dark energy equation of state parameter to w_DE=-1.05+-0.15, independently of CMB or supernovae data. We do not find convincing evidence for an evolving equation of state. We provide a set of "extended distance priors" that contain the most relevant information from the CMB power spectrum and the shape of the LRG correlation function which can be used to constrain dark energy models and spatial curvature. Our model should provide an accurate description of the clustering even in much larger, forthcoming surveys, such as those planned with NASA's JDEM or ESA's Euclid mission.