AAS 197, January 2001
Session 89. Large Scale Structure and Galaxy Clusters
Oral, Wednesday, January 10, 2001, 10:30am-12:00noon, Town and Country

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[89.05] Large Scale Structure from the 2dF Galaxy Redshift Survey

M. Colless (The Australian National U.), 2dF Galaxy Redshift Survey Team

The 2dF Galaxy Redshift Survey has now measured redshifts for over 130,000 galaxies and provides the most detailed map of the large-scale structure in the local universe. Initial results are presented on the statistical properties of the galaxy distribution and their implications for cosmology. The redshift-space anisotropy of the galaxy correlation function is in excellent agreement with the predictions of the gravitational instability paradigm for the growth of large-scale structure. The preliminary estimate of the distortion parameter is \beta = \Omega0.6/b = 0.39±.05. Allowing for the effective redshift and luminosity of the 2dFGRS sample, this result is in good accord with recent CMB anisotropy results, and favours a low-density universe with \Omega~0.35. A preliminary measurement of the real-space power spectrum of galaxy clustering, P(k), has been made on scales up to 300 h Mpc-1 (k>0.02). A comparison is presented between the 2dFGRS power spectrum and previous estimates from the projected galaxy distribution and earlier redshift surveys; the 2dFGRS P(k) is also compared to predictions from the best-fitting cosmological models derived from recent CMB anisotropy measurements. Further work with the 2dFGRS will yield higher-order clustering statistics for the galaxy distribution. Amongst other things, these will test whether the initial density fluctuations were a Gaussian random field, and allow independent measurement of the mass density \Omega and the bias parameter b.

If you would like more information about this abstract, please follow the link to http://www.mso.anu.edu.au/2dFGRS/. This link was provided by the author. When you follow it, you will leave the Web site for this meeting; to return, you should use the Back comand on your browser.

The author(s) of this abstract have provided an email address for comments about the abstract: colless@mso.anu.edu.au

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