Recovering the real-space correlation function from photometric redshift surveys
Abstract
Measurements of clustering in large-scale imaging surveys that make use of photometric redshifts depend on the uncertainties in the redshift determination. We have used light-cone simulations to show how the deprojection method successfully recovers the real space correlation function when applied to mock photometric redshift surveys. We study how the errors in the redshift determination affect the quality of the recovered two-point correlation function. Considering the expected errors associated to the planned photometric redshift surveys, we conclude that this method provides information on the clustering of matter useful for the estimation of cosmological parameters that depend on the large scale distribution of galaxies.
Keywords
Cite
@article{arxiv.0812.4226,
title = {Recovering the real-space correlation function from photometric redshift surveys},
author = {Pablo Arnalte-Mur and Alberto Fernández-Soto and Vicent J. Martínez and Enn Saar and Pekka Heinämäki and Ivan Suhhonenko},
journal= {arXiv preprint arXiv:0812.4226},
year = {2009}
}
Comments
11 pages, 8 figures. Accepted for publication in MNRAS