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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
Testing homogeneity with galaxy star formation histories
Astrophysical Journal Letters, Volume 762, No. 1, Article L9, Year 2013
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Description
Observationally confirming spatial homogeneity on sufficiently large cosmological scales is of importance to test one of the underpinning assumptions of cosmology, and is also imperative for correctly interpreting dark energy. A challenging aspect of this is that homogeneity must be probed inside our past light cone, while observations take place on the light cone. The star formation history (SFH) in the galaxy fossil record provides a novel way to do this. We calculate the SFH of stacked luminous red galaxy (LRG) spectra obtained from the Sloan Digital Sky Survey. We divide the LRG sample into 12 equal-area contiguous sky patches and 10 redshift slices (0.2 < z < 0.5), which correspond to 120 blocks of volume 0.04 Gpc3. Using the SFH in a time period that samples the history of the universe between look-back times 11.5 and 13.4 Gyr as a proxy for homogeneity, we calculate the posterior distribution for the excess large-scale variance due to inhomogeneity, and find that the most likely solution is no extra variance at all. At 95% credibility, there is no evidence of deviations larger than 5.8%. © 2013. The American Astronomical Society. All rights reserved.
Authors & Co-Authors
Hoyle, Ben
Spain, Barcelona
Universitat de Barcelona
Tojeiro, Rita
United Kingdom, Portsmouth
University of Portsmouth
Jimenez, R.
Spain, Barcelona
Universitat de Barcelona
Spain, Barcelona
Institució Catalana de Recerca I Estudis Avançats
Switzerland, Geneva
Organisation Européenne Pour la Recherche Nucléaire
Heavens, Alan F.
United Kingdom, London
Imperial College London
Clarkson, Chris A.
South Africa, Cape Town
University of Cape Town
Maartens, Roy
United Kingdom, Portsmouth
University of Portsmouth
South Africa, Bellville
University of the Western Cape
Statistics
Citations: 6
Authors: 6
Affiliations: 7
Identifiers
Doi:
10.1088/2041-8205/762/1/L9
ISSN:
20418205
e-ISSN:
20418213
Study Design
Cross Sectional Study
Study Approach
Quantitative