The WiggleZ Dark Energy Survey: measuring the cosmic growth rate with the two-point galaxy correlation function
Abstract
The growth history of large-scale structure in the Universe is a powerful probe of the cosmological model, including the nature of dark energy. We study the growth rate of cosmic structure to redshift using more than galaxy redshifts from the WiggleZ Dark Energy Survey. We divide the data into four redshift slices with effective redshifts and in each of the samples measure and model the 2-point galaxy correlation function in parallel and transverse directions to the line-of-sight. After simultaneously fitting for the galaxy bias factor we recover values for the cosmic growth rate which are consistent with our assumed CDM input cosmological model, with an accuracy of around 20% in each redshift slice. We investigate the sensitivity of our results to the details of the assumed model and the range of physical scales fitted, making close comparison with a set of N-body simulations for calibration. Our measurements are consistent with an independent power-spectrum analysis of a similar dataset, demonstrating that the results are not driven by systematic errors. We determine the pairwise velocity dispersion of the sample in a non-parametric manner, showing that it systematically increases with decreasing redshift, and investigate the Alcock-Paczynski effects of changing the assumed fiducial model on the results. Our techniques should prove useful for current and future galaxy surveys mapping the growth rate of structure using the 2-dimensional correlation function.
Keywords
Cite
@article{arxiv.1302.5178,
title = {The WiggleZ Dark Energy Survey: measuring the cosmic growth rate with the two-point galaxy correlation function},
author = {Carlos Contreras and Chris Blake and Gregory B. Poole and Felipe Marin and Sarah Brough and Matthew Colless and Warrick Couch and Scott Croom and Darren Croton and Tamara M. Davis and Michael J. Drinkwater and Karl Forster and David Gilbank and Mike Gladders and Karl Glazebrook and Ben Jelliffe and Russell J. Jurek and I-hui Li and Barry Madore and D. Christopher Martin and Kevin Pimbblet and Michael Pracy and Rob Sharp and Emily Wisnioski and David Woods and Ted K. Wyder and H. K. C. Yee},
journal= {arXiv preprint arXiv:1302.5178},
year = {2013}
}
Comments
11 pages, 9 figures