The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: anisotropic galaxy clustering in Fourier space
Year: 2016
Type: article
Abstract: We investigate the anisotropic clustering of the Baryon Oscillation Spectroscopic Survey (BOSS) Data Release 12 sample, which consists of 1198 006 galaxies in the redshift range 0.2 < z < 0.75 and a sky coverage of 10 252 deg2. We analyse this data set in Fourier space, using the power-spectrum multipoles to measure redshift-space distortions simultaneously with the Alcock–Paczynski effect and the baryon acoustic oscillation scale. We include the power-spectrum monopole, quadrupole and hexadecapole in our analysis and compare our measurements with a perturbation-theory-based model, while properly accounting for the survey window function. To evaluate the reliability of our analysis pipeline, we participate in a mock challenge, which results in systematic uncertainties significantly smaller than the statistical uncertainties. While the high-redshift constraint on fσ8 at zeff = 0.61 indicates a small (∼1.4σ) deviation from the prediction of the Planck ΛCDM (Λ cold dark matter) model, the low-redshift constraint is in good agreement with Planck ΛCDM. This paper is part of a set that analyses the final galaxy clustering data set from BOSS. The measurements and likelihoods presented here are combined with others in Alam et al. to produce the final cosmological constraints from BOSS.
Authors: Florian Beutler, Hee-Jong Seo, Shun Saito, Chia-Hsun Chuang, Antonio J. Cuesta, Daniel J. Eisenstein, Héctor Gil-Marín, Jan Niklas Grieb, Nick Hand, Francisco-Shu Kitaura, Chirag Modi, Robert C. Nichol, Matthew D. Olmstead, Will J. Percival, Francisco Prada, Ariel G. Sánchez, Sergio Rodriguez-Torres, Ashley J. Ross, Nicholas P. Ross, Donald P. Schneider, Jeremy Tinker, Rita Tojeiro, Mariana Vargas-Magaña
Institutions: Lawrence Berkeley National Laboratory, University of Portsmouth, Ohio University, Kavli Institute for the Physics and Mathematics of the Universe, Max Planck Institute for Astrophysics, The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Leibniz Institute for Astrophysics Potsdam, Instituto de Física Teórica, Universidad Autónoma de Madrid, Institut de Ciències del Cosmos, Universitat de Barcelona, Harvard University, Center for Astrophysics Harvard & Smithsonian, Sorbonne Université, Laboratoire de Physique Nucléaire et de Hautes Énergies, Université Pierre-et-Marie-Curie, Institut Lagrange de Paris, Max Planck Institute for Extraterrestrial Physics, Ludwig-Maximilians-Universität München, University of California, Berkeley, Pennsylvania State University, Consejo Superior de Investigaciones Científicas, Instituto de Astrofísica de Andalucía, Royal Observatory, University of Edinburgh, New York University, University of St Andrews, Universidad Nacional Autónoma de México
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Funders: National Science Foundation, U.S. Department of Energy, Alfred P. Sloan Foundation, Yale University, Vanderbilt University, Princeton University, Ohio State University, Harvard University, University of Washington, Johns Hopkins University, Carnegie Mellon University, University of Portsmouth, New Mexico State University, York University, Ministry of Education, Culture, Sports, Science and Technology, National Astronomical Observatory of Japan, Office of Science, College of Engineering, Michigan State University, Science and Technology Facilities Council, High Energy Physics, Brookhaven National Laboratory, Lawrence Berkeley National Laboratory
Awards: G1079818582, G1140343831, IMPROVING DARK ENERGY CONTRAINTS USING LOW-REDSHIRT LARGE-SCALE STRUCTURES, G1245873785, G1286236842, G1769256354, G1863003419, G3083819904, IMPROVING DARK ENERGY CONTRAINTS USING LOW-REDSHIRT LARGE-SCALE STRUCTURES, G419881185, G4501827968, G498139845, G5004724115, G6902702339, G7146827954, G7354628648, G759921648, G7764586137, G8159773081, G969889393
OpenAlex ID: W2461007441