Large-scale analysis of the SDSS-III DR8 photometric luminous galaxies angular correlation function

Abstract

We analyse the large-scale angular correlation function (ACF) of the CMASS luminous galaxies (LGs), a photometric-redshift catalogue based on the Data Release 8 (DR8) of the Sloan Digital Sky Survey-III. This catalogue contains over $600000$ LGs in the range $0.45\le z\le 0.65$, which was split into four redshift shells of constant width. First, we estimate the constraints on the redshift-space distortion (RSD) parameters $b{\sigma }_8$ and $f{\sigma }_8$, where $b$ is the galaxy bias, $f$ the growth rate and ${\sigma }_8$ is the normalization of the perturbations, finding that they vary appreciably among different redshift shells, in agreement with previous results using DR7 data. When assuming constant RSD parameters over the survey redshift range, we obtain $f{\sigma }_8=0.69\pm 0.21$, which agrees at the $1.5\sigma$ level with Baryon Oscillation Spectroscopic Survey DR9 spectroscopic results. Next, we performed two cosmological analyses, where relevant parameters not fitted were kept fixed at their fiducial values. In the first analysis, we extracted the baryon acoustic oscillation peak position for the four redshift shells, and combined with the sound horizon scale from 7-year \textit{Wilkinson Microwave Anisotropy Probe} $(WMAP7)$ to produce the constraints ${\Omega }_m=0.249\pm 0.031$ and $w=-0.885\pm 0.145$. In the second analysis, we used the ACF full shape information to constrain cosmology using real data for the first time, finding ${\Omega }_m=0.280\pm 0.022$ and $f_b={\Omega }_b/{\Omega }_m=0.211\pm 0.026$. These results are in good agreement with $WMAP7$ findings, showing that the ACF can be efficiently applied to constrain cosmology in future photometric galaxy surveys.

MNRAS accepted. Minor corrections to match publish version

References in corpus (9)

• The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations in the Data Release 10 and 11 galaxy samples
• Measuring the Baryon Acoustic Oscillation scale using the SDSS and 2dFGRS
• Nonlinear Evolution of Baryon Acoustic Oscillations
• Large-Scale Anisotropic Correlation Function of SDSS Luminous Red Galaxies
• Cosmological baryonic and matter densities from 600,000 SDSS Luminous Red Galaxies with photometric redshifts
• MegaZ-LRG: A photometric redshift catalogue of one million SDSS Luminous Red Galaxies
• Tracing The Sound Horizon Scale With Photometric Redshift Surveys
• Excess Clustering on Large Scales in the MegaZ DR7 Photometric Redshift Survey
• Locating the Baryon Acoustic Peak

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