The WiggleZ Dark Energy Survey: Final data release and cosmological results
David Parkinson, Signe Riemer-Sørensen, Chris Blake, Gregory B. Poole, Tamara M. Davis, Sarah Brough, Matthew Colless, Carlos Contreras, Warrick Couch, Scott Croom, Darren Croton, Michael J. Drinkwater, Karl Forster, David Gilbank, Mike Gladders, Karl Glazebrook, Ben Jelliffe, Russell J. Jurek, I-hui Li, Barry Madore, D. Christopher Martin, Kevin Pimbblet, Michael Pracy, Rob Sharp, Emily Wisnioski, David Woods, Ted K. Wyder, H. K. C. Yee
TL;DR
The paper reports the final WiggleZ data release and cosmological results from a comprehensive galaxy power-spectrum analysis across four redshift bins, incorporating seven modelling approaches for non-linearities, bias, and redshift-space distortions calibrated against the GiggleZ simulations. By combining WiggleZ P(k) with CMB, BAO, LSS, and SN-Ia data, the study finds results consistent with flat ΛCDM, yielding Ω_m ≈ 0.29 and σ_8 ≈ 0.825, while placing upper bounds on extensions such as the neutrino mass ∑ m_ν, the running of the spectral index n_run, and the tensor-to-scalar ratio r. Among modelling schemes, a simulation-calibrated approach without BAO damping (Model G) best recovers the fiducial cosmology in GiggleZ, and is used as the default in CosmoMC analyses. The work demonstrates the importance of accurately modelling non-linear growth, galaxy bias, and redshift-space distortions, and provides public data and a CosmoMC module to enable broader cosmological analyses with WiggleZ data. Overall, all results are consistent with ΛCDM, while the WiggleZ dataset significantly tightens constraints on several cosmological parameters and supports the robustness of standard cosmology for the observed large-scale structure up to z ≈ 1.
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.
