The Clustering of Galaxies in the Completed SDSS-III Baryon Oscillation Spectroscopic Survey: Tomographic BAO Analysis of DR12 Combined Sample in Fourier Space
Abstract
We perform a tomographic baryon acoustic oscillations (BAO) analysis using the monopole, quadrupole and hexadecapole of the redshift-space galaxy power spectrum measured from the pre-reconstructed combined galaxy sample of the completed Sloan Digital Sky Survey Baryon Oscillation Spectroscopic Survey (BOSS) Data Release12 covering the redshift range of 0.20 < z < 0.75. By allowing for overlap between neighbouring redshift slices, we successfully obtained the isotropic and anisotropic BAO distance measurements within nine redshift slices to a precision of 1.5-3.4 per cent for DV/rd, 1.8-4.2 per cent for DA/rd and 3.7-7.5 per cent for Hrd, depending on effective redshifts. We provide our BAO measurement of DA/rd and Hrd with the full covariance matrix, which can be used for cosmological implications. Our measurements are consistent with those presented in Alam et al., in which the BAO distances are measured at three effective redshifts. We constrain dark energy parameters using our measurements and find an improvement of the Figure-of-Merit of dark energy in general due to the temporal BAO information resolved. This paper is a part of a set that analyses the final galaxy clustering data set from BOSS.
Recommended Citation
G. Zhao et al., "The Clustering of Galaxies in the Completed SDSS-III Baryon Oscillation Spectroscopic Survey: Tomographic BAO Analysis of DR12 Combined Sample in Fourier Space," Monthly Notices of the Royal Astronomical Society, vol. 466, no. 1, pp. 762 - 779, Oxford University Press, Apr 2017.
The definitive version is available at https://doi.org/10.1093/mnras/stw3199
Department(s)
Physics
Keywords and Phrases
Cosmological parameters; Cosmology: observations; Dark energy; Distance scale; Galaxies: distances and redshifts; Large-scale structure of Universe
International Standard Serial Number (ISSN)
0035-8711; 1365-2966
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2017 The Authors, All rights reserved.
Publication Date
01 Apr 2017