Recovering the real-space correlation function from photometric redshift surveys

Astronomy and Astrophysics – Astrophysics

Scientific paper

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11 pages, 8 figures. Accepted for publication in MNRAS

Scientific paper

10.1111/j.1365-2966.2009.14430.x

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.

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