English

The WiggleZ Dark Energy Survey: Final data release and cosmological results

Cosmology and Nongalactic Astrophysics 2015-06-11 v1

Abstract

This paper presents cosmological results from the final data release of the WiggleZ Dark Energy Survey. We perform full analyses of different cosmological models using the WiggleZ power spectra measured at z=0.22, 0.41, 0.60, and 0.78, combined with other cosmological datasets. The limiting factor in this analysis is the theoretical modelling of the galaxy power spectrum, including non-linearities, galaxy bias, and redshift-space distortions. In this paper we assess several different methods for modelling the theoretical power spectrum, testing them against the Gigaparsec WiggleZ simulations (GiggleZ). We fit for a base set of 6 cosmological parameters, {Omega_b h^2, Omega_CDM h^2, H_0, tau, A_s, n_s}, and 5 supplementary parameters {n_run, r, w, Omega_k, sum m_nu}. In combination with the Cosmic Microwave Background (CMB), our results are consistent with the LambdaCDM concordance cosmology, with a measurement of the matter density of Omega_m =0.29 +/- 0.016 and amplitude of fluctuations sigma_8 = 0.825 +/- 0.017. Using WiggleZ data with CMB and other distance and matter power spectra data, we find no evidence for any of the extension parameters being inconsistent with their LambdaCDM model values. The power spectra data and theoretical modelling tools are available for use as a module for CosmoMC, which we here make publicly available at http://smp.uq.edu.au/wigglez-data . We also release the data and random catalogues used to construct the baryon acoustic oscillation correlation function.

Keywords

Cite

@article{arxiv.1210.2130,
  title  = {The WiggleZ Dark Energy Survey: Final data release and cosmological results},
  author = {David Parkinson and Signe Riemer-Sørensen and Chris Blake and Gregory B. Poole and Tamara M. Davis and Sarah Brough and Matthew Colless and Carlos Contreras and Warrick Couch and Scott Croom and Darren Croton 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:1210.2130},
  year   = {2015}
}

Comments

23 pages, 19 figures. The data and analysis module are publicly available at http://smp.uq.edu.au/wigglez-data