Recovering the real-space correlation function from photometric redshift surveys

TL;DR

This paper demonstrates that a deprojection method can effectively recover the real-space galaxy correlation function from photometric redshift surveys, despite redshift uncertainties, aiding cosmological parameter estimation.

Contribution

The study validates the deprojection method using light-cone simulations for photometric surveys, showing its robustness against redshift errors.

Findings

Deprojection method accurately recovers real-space correlation functions.

Redshift errors impact the precision but not the overall recovery.

Method is useful for cosmological parameter estimation from photometric data.

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.