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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
First-year sloan digital sky survey-ii (SDSS-II) supernova results: Constraints on nonstandard cosmological models
Astrophysical Journal, Volume 703, No. 2, Year 2009
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Description
We use the new Type Ia supernovae discovered by the Sloan Digital Sky Survey-II supernova survey, together with additional supernova data sets as well as observations of the cosmic microwave background and baryon acoustic oscillations to constrain cosmological models. This complements the standard cosmology analysis presented by Kessler et al. in that we discuss and rank a number of the most popular nonstandard cosmology scenarios. When this combined data set is analyzed using the MLCS2k2 light-curve fitter, we find that more exotic models for cosmic acceleration provide a better fit to the data than the ΛCDM model. For example, the flat Dvali-Gabadadze-Porrati model is ranked higher by our information-criteria (IC) tests than the standard model with a flat universe and a cosmological constant. When the supernova data set is instead analyzed using the SALT-II light-curve fitter, the standard cosmological-constant model fares best. This investigation of how sensitive cosmological model selection is to assumptions about, and within, the light-curve fitters thereby highlights the need for an improved understanding of these unresolved systematic effects. Our investigation also includes inhomogeneous Lematre-Tolman-Bondi (LTB) models. While our LTB models can be made to fit the supernova data as well as any other model, the extra parameters they require are not supported by our IC analysis. Finally, we explore more model-independent ways to investigate the cosmic expansion based on this new data set. © 2009. The American Astronomical Society. All rights reserved..
Authors & Co-Authors
Sollerman, Jesper
Denmark, Copenhagen
Niels Bohr Institutet
Sweden, Stockholm
Stockholms Universitet
Mörtsell, Edvard
Sweden, Stockholm
Stockholms Universitet
Davis, Tamara M.
Denmark, Copenhagen
Niels Bohr Institutet
Australia, Brisbane
The University of Queensland
Blomqvist, Michael
Sweden, Stockholm
Stockholms Universitet
Bassett, Bruce A.C.C.
South Africa, Cape Town
South African Astronomical Observatory
South Africa, Cape Town
University of Cape Town
Becker, Andrew C.
United States, Seattle
University of Washington
Cinabro, David A.
United States, Detroit
Wayne State University
Filippenko, Alexei V.
United States, Berkeley
University of California, Berkeley
Foley, Ryan J.F.
United States, Berkeley
University of California, Berkeley
United States, Cambridge
Harvard-smithsonian Center for Astrophysics
Frieman, Joshua A.
United States, Chicago
The Kavli Institute for Cosmological Physics
United States, Chicago
The University of Chicago
United States, Batavia
Fermi National Accelerator Laboratory
Garnavich, Peter M.
United States, Notre Dame
University of Notre Dame
Lampeitl, Hubert
United Kingdom, Portsmouth
University of Portsmouth
Marriner, John P.
United States, Batavia
Fermi National Accelerator Laboratory
Miquel, Ramon
Spain, Barcelona
Institució Catalana de Recerca I Estudis Avançats
Spain, Cerdanyola Del Valles
Institut de Física D'altes Energies, Bellaterra
Nichol, Robert C.
United Kingdom, Portsmouth
University of Portsmouth
Richmond, Michael W.
United States, Rochester
Rochester Institute of Technology
Sako, Masao
United States, Philadelphia
University of Pennsylvania
P. Schneider, Donald P.
United States, University Park
Pennsylvania State University
Smith, Matthew W.L.
South Africa, Cape Town
South African Astronomical Observatory
South Africa, Cape Town
University of Cape Town
United Kingdom, Portsmouth
University of Portsmouth
VanderPlas, Jacob T.
United States, Seattle
University of Washington
Wheeler, J. Craig
United States, Austin
The University of Texas at Austin
Statistics
Citations: 147
Authors: 21
Affiliations: 20
Identifiers
Doi:
10.1088/0004-637X/703/2/1374
ISSN:
0004637X
e-ISSN:
15384357
Study Design
Cross Sectional Study
Study Approach
Quantitative