The WiggleZ Dark Energy Survey: Small-scale clustering of Lyman-break galaxies at z < 1

The WiggleZ Dark Energy Survey is a large-scale structure survey of intermediate-redshift ultraviolet-selected (UV-selected) emission-line galaxies scheduled to cover 1000 deg(2), spanning a broad redshift range 0.2 < z < 1.0. The main scientific goal of the survey is the measurement of baryon acoustic oscillations (BAO) in the galaxy clustering pattern at a significantly higher redshift than previous studies. The BAO may be applied as a standard cosmological ruler to constrain dark energy models. Based on the first 20 per cent of the data set, we present initial results concerning the small-scale clustering of the WiggleZ targets, together with survey forecasts. The WiggleZ galaxy population possesses a clustering length r(0) = 4.40 +/- 0.12 h(-1) Mpc, which is significantly larger than z = 0 UV-selected samples, with a slope gamma = 1.92 +/- 0.08. This clustering length is comparable to z = 3 Lyman-break galaxies with similar UV luminosities. The clustering strength of the sample increases with optical luminosity, UV luminosity and reddening rest-frame colour. The full survey, scheduled for completion in 2010, will map an effective volume V(eff) approximate to 1 Gpc(3) (evaluated at a scale k = 0.15 h Mpc(-1)) and will measure the angular diameter distance and Hubble expansion rates in three redshift bins with accuracies of approximate to 5 per cent. We will determine the value of a constant dark energy equation-of-state parameter, w(cons), with a higher precision than existing supernovae observations using an entirely independent technique. The WiggleZ and supernova measurements lie in highly complementary directions in the plane of w(cons) and the matter density Omega(m). The forecast using the full combination of WiggleZ, supernova and cosmic microwave background (CMB) data sets is a marginalized error Delta w(cons) = 0.07, providing a robust and precise measurement of the properties of dark energy including cross-checking of systematic errors