Year: 2017
Type: article
Abstract: We perform a comprehensive redshift-space distortion analysis based on cosmic voids in the large-scale distribution of galaxies observed with the Sloan Digital Sky Survey. To this end, we measure multipoles of the void-galaxy cross-correlation function and compare them with standard model predictions in cosmology. Merely considering linear-order theory allows us to accurately describe the data on the entire available range of scales and to probe void-centric distances down to about 2 h −1 Mpc. Common systematics, such as the Fingers-of-God effect, scale-dependent galaxy bias, and nonlinear clustering do not seem to play a significant role in our analysis. We constrain the growth rate of structure via the redshift-space distortion parameter β at two median redshifts, β( =0.32)=0.599 +0.134 −0.124 and β( =0.54)=0.457 +0.056 −0.054 , with a precision that is competitive with state-of-the-art galaxy-clustering results. While the high-redshift constraint perfectly agrees with model expectations, we observe a mild 2σ deviation at =0.32, which increases to 3σ when the data is restricted to the lowest available redshift range of 0.15< z <0.33.
Institutions: Ludwig-Maximilians-Universität München, Centre National de la Recherche Scientifique, Aix-Marseille Université, Centre de physique des particules de Marseille, Institut National de Physique Nucléaire et de Physique des Particules, Max Planck Institute for Extraterrestrial Physics, Excellence Cluster Universe
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: bronze
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, Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche, Office of Science, College of Engineering, Michigan State University, Brookhaven National Laboratory, Lawrence Berkeley National Laboratory
OpenAlex ID: W2614210458