Clustering of Sloan Digital Sky Survey III Photometric Luminous Galaxies: The Measurement, Systematics and Cosmological Implications
Shirley Ho, Antonio Cuesta, Hee-Jong Seo, Roland de Putter, Ashley J., Ross, Martin White, Nikhil Padmanabhan, Shun Saito, David J. Schlegel, Eddie, Schlafly, Uros Seljak, Carlos Hernandez-Monteagudo, Ariel G. Sanchez, Will J., Percival, Michael Blanton, Ramin Skibba

TL;DR
This paper analyzes galaxy clustering from SDSS data to derive cosmological parameters, addressing systematics and providing constraints consistent with other large-scale structure surveys.
Contribution
It introduces a novel treatment of observational systematics in galaxy clustering measurements from SDSS and derives cosmological constraints using full-shape power spectra.
Findings
Measured angular clustering with ~15% accuracy on BAO scales.
Derived cosmological parameters consistent with WMAP7 and other surveys.
Improved constraints on curvature and dark energy equation of state.
Abstract
The Sloan Digital Sky Survey (SDSS) surveyed 14,555 square degrees, and delivered over a trillion pixels of imaging data. We present a study of galaxy clustering using 900,000 luminous galaxies with photometric redshifts, spanning between and , constructed from the SDSS using methods described in Ross et al. (2011). This data-set spans 11,000 square degrees and probes a volume of , making it the largest volume ever used for galaxy clustering measurements. We present a novel treatment of the observational systematics and its applications to the clustering signals from the data set. In this paper, we measure the angular clustering using an optimal quadratic estimator at 4 redshift slices with an accuracy of ~15% with bin size of delta_l = 10 on scales of the Baryon Acoustic Oscillations (BAO) (at l~40-400). We derive cosmological constraints using the…
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