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The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: measuring structure growth using passive galaxies

The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: measuring structure growth using passive galaxies

Authors :
Tojeiro, Rita
Percival, Will J.
Brinkmann, Jon
Brownstein, Joel R.
Eisenstein, Danniel J.
Manera, Marc
Maraston, Claudia
McBride, Cameron K.
Duna, Demitri
Reid, Beth
Ross, Ashley J.
Ross, Nicholas P.
Samushia, Lado
Padmanabhan, Nikhil
Schneider, Donald P.
Skibba, Ramin
Sanchez, Ariel G.
Swanson, Molly E. C.
Thomas, Daniel
Tinker, Jeremy L.
Verde, Licia
Wake, David A.
Weaver, Benjamin A.
Zhao, Gong-Bo
University of St Andrews. School of Physics and Astronomy
Source :
MNRAS, Tojeiro, R, Percival, W, Brinkmann, J, Brownstein, J, Eisenstein, D, Manera, M, Maraston, C, McBride, C, Muna, D, Reid, B, Ross, A, Ross, N, Samushia, L, Padmanabhan, N, Schneider, D, Skibba, R, Sanchez, A, Swanson, M, Thomas, D, Tinker, J, Verde, L, Wake, D, Weaver, B & Zhao, G 2012, ' The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: measuring structure growth using passive galaxies ', Monthly Notices of the Royal Astronomical Society, vol. 424, no. 3, pp. 2239-2344 . https://doi.org/10.1111/j.1365-2966.2012.21404.x, Monthly Notices of the Royal Astronomical Society
Publication Year :
2012

Abstract

We explore the benefits of using a passively evolving population of galaxies to measure the evolution of the rate of structure growth between z=0.25 and z=0.65 by combining data from the SDSS-I/II and SDSS-III surveys. The large-scale linear bias of a population of dynamically passive galaxies, which we select from both surveys, is easily modeled. Knowing the bias evolution breaks degeneracies inherent to other methodologies, and decreases the uncertainty in measurements of the rate of structure growth and the normalization of the galaxy power-spectrum by up to a factor of two. If we translate our measurements into a constraint on sigma_8(z=0) assuming a concordance cosmological model and General Relativity (GR), we find that using a bias model improves our uncertainty by a factor of nearly 1.5. Our results are consistent with a flat Lambda Cold Dark Matter model and with GR.<br />Comment: Accepted for publication in MNRAS (clarifications added, results and conclusions unchanged)

Details

Volume :
424
Database :
OpenAIRE
Journal :
MNRAS
Accession number :
edsair.doi.dedup.....36c56dd3c23b83c04fd1fe56de8f5f3f
Full Text :
https://doi.org/10.1111/j.1365-2966.2012.21404.x