Cosmological constraints from the SDSS luminous red galaxies

Creators: Tegmark, Max; Eisenstein, Daniel J.; Strauss, Michael A.; Weinberg, David H.; Blanton, Michael R.; Frieman, Joshua A.; Fukugita, Masataka; Gunn, James E.; Hamilton, Andrew J. S.; Knapp, Gillian R.; Nichol, Robert C.; Ostriker, Jeremiah P.; Padmanabhan, Jeremiah; Percival, Will J.; Schlegel, David J.; Schneider, Donald P.; Scoccimarro, Roman; Seljak, Uroš; Seo, Hee-Jong; Swanson, Molly; Szalay, Alexander S.; Vogeley, Michael S.; Yoo, Jaiyul; Zehavi, Kevork; Abazajian, Kevork; Anderson, Scott F.; Annis, James; Bahcall, Neta A.; Bassett, Bruce; Berlind, Andreas; Brinkmann, Jon; Budavari, Tamás; Castander, Francisco; Connolly, Andrew; Csabai, Douglas; Doi, Mamoru; Finkbeiner, Douglas P.; Gillespie, Bruce; Glazebrook, Karl; Hennessey, Gregory S.; Hogg, David W.; Ivezić, Željko; Jain, Bhuvnesh; Johnston, David; Kent, Stephen; Lamb, Donald Q.; Lee, Brian C.; Lin, Huan; Loveday, Jon; Lupton, Robert H.; Munn, Jeffrey A.; Park, Changbom; Peoples, John; Pier, Jeffrey R.; Pope, Adrian; Richmond, Michael; Rockosi, Constance; Scranton, Ryan; Sheth, Ravi K.; Stebbins, Albert; Stoughton, Christopher; Szapudi, István; Tucker, Douglas L.; Vanden Berk, Daniel E.; Yanny, Brian; York, Donald G.

Abstract

We measure the large-scale real-space power spectrum P(k) using luminous red galaxies (LRGs) in the Sloan Digital Sky Survey (SDSS) and use this measurement to sharpen constraints on cosmological parameters from the Wilkinson Microwave Anisotropy Probe (WMAP). We employ a matrix-based power spectrum estimation method using Pseudo-Karhunen-Loève eigenmodes, producing uncorrelated minimum-variance measurements in 20 k-bands of both the clustering power and its anisotropy due to redshift-space distortions, with narrow and well-behaved window functions in the range 0.01h/Mpc0.1h/Mpc and associated nonlinear complications, yet agree well with more aggressive published analyses where nonlinear modeling is crucial.

Additional Information

© 2006 The American Physical Society. (Received 22 August 2006; published 11 December 2006) We thank Angelica de Oliveira-Costa, Kirsten A. Hubbard, Oliver Zahn, and Matias Zaldarriaga for helpful comments, and Dulce Gonçalves de Oliveira-Costa for ground support. We thank the WMAP team for making data and Monte Carlo Markov chains public via the Legacy Archive for Microwave Background Data Analysis (LAMBDA) at http://lambda.gsfc.nasa.gov, and Anthony Lewis and Sarah Bridle for making their CosmoMC software [108] available at http://cosmologist.info/cosmomc. Support for LAMBDA is provided by the NASA Office of Space Science. M.T. was supported by NASA Grants NAG5-11099 and NNG06GC55G, NSF Grants AST-0134999, and 0607597, the Kavli Foundation, and the David and Lucile Packard Foundation, and the Research Corporation. D.J.E. was supported by NSF Grant AST-0407200 and by the Alfred P. Sloan Foundation. Funding for the SDSS has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, the U.S. Department of Energy, the National Aeronautics and Space Administration, the Japanese Monbukagakusho, the Max Planck Society, and the Higher Education Funding Council for England. The SDSS Web Site is http://www.sdss.org. The SDSS is managed by the Astrophysical Research Consortium for the Participating Institutions. The Participating Institutions are the American Museum of Natural History, Astrophysical Institute Potsdam, University of Basel, Cambridge University, Case Western Reserve University, University of Chicago, Drexel University, Fermilab, the Institute for Advanced Study, the Japan Participation Group, Johns Hopkins University, the Joint Institute for Nuclear Astrophysics, the Kavli Institute for Particle Astrophysics and Cosmology, the Korean Scientist Group, the Chinese Academy of Sciences (LAMOST), Los Alamos National Laboratory, the Max-Planck-Institute for Astronomy (MPIA), the Max-Planck-Institute for Astrophysics (MPA), New Mexico State University, Ohio State University, University of Pittsburgh, University of Portsmouth, Princeton University, the United States Naval Observatory, and the University of Washington.

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