The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: cosmological analysis of the DR12 galaxy sample
Shadab Alam, Metin Ata, Stephen Bailey, Florian Beutler, Dmitry, Bizyaev, Jonathan A. Blazek, Adam S. Bolton, Joel R. Brownstein, Angela, Burden, Chia-Hsun Chuang, Johan Comparat, Antonio J. Cuesta, Kyle S. Dawson,, Daniel J. Eisenstein, Stephanie Escoffier, H\'ector Gil-Mar\'in

TL;DR
This paper presents cosmological constraints derived from the final galaxy clustering data of SDSS-III BOSS DR12, confirming the flat { extLambda}CDM model with precise measurements of distances, growth rate, and neutrino mass limits.
Contribution
It provides the most comprehensive cosmological analysis of the DR12 galaxy sample, combining multiple clustering measurements with Planck data to refine cosmological parameters.
Findings
Consistent with flat { extLambda}CDM model.
Tighter constraints on curvature and dark energy parameters.
Upper limit of 0.16 eV/c^2 on neutrino mass sum.
Abstract
We present cosmological results from the final galaxy clustering data set of the Baryon Oscillation Spectroscopic Survey, part of the Sloan Digital Sky Survey III. Our combined galaxy sample comprises 1.2 million massive galaxies over an effective area of 9329 deg^2 and volume of 18.7 Gpc^3, divided into three partially overlapping redshift slices centred at effective redshifts 0.38, 0.51, and 0.61. We measure the angular diameter distance DM and Hubble parameter H from the baryon acoustic oscillation (BAO) method after applying reconstruction to reduce non-linear effects on the BAO feature. Using the anisotropic clustering of the pre-reconstruction density field, we measure the product DM*H from the Alcock-Paczynski (AP) effect and the growth of structure, quantified by f{\sigma}8(z), from redshift-space distortions (RSD). We combine measurements presented in seven companion papers…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
