Quantifying the Bull's Eye Effect
arXiv:astro-ph/0305475 · doi:10.1086/380434
Abstract
We have used N-body simulations to develop two independent methods to quantify redshift distortions known as the Bull's Eye effect (large scale infall plus small scale virial motion). This effect depends upon the mass density, , so measuring it can in principle give an estimate of this important cosmological parameter. We are able to measure the effect and distinguish between its strength for high and low values of . Unlike other techniques which utilize redshift distortions, one of our methods is relatively insensitive to bias. In one approach, we use path lengths between contour crossings of the density field. The other is based upon percolation. We have found both methods to be successful in quantifying the effect and distinguishing between values of . However, only the path lengths method exhibits low sensitivity to bias.
21 pages, 5 figures, 3 tables; Replaced version - minor corrections, replaced figure 2; To appear in ApJ, Jan. 20, 2004
References in corpus (5)
- The 2dF Galaxy Redshift Survey: Spectra and redshifts
- A measurement of the cosmological mass density from clustering in the 2dF Galaxy Redshift Survey
- Parameter constraints for flat cosmologies from CMB and 2dFGRS power spectra
- Precision Cosmology? Not Just Yet
- The 2dF QSO Redshift Survey - VII. Constraining Cosmology from Redshift Space Distortions via xi(sigma,pi)
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