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Recovering the real-space correlation function from photometric redshift surveys |
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| Authors: | Pablo Arnalte-Mur Alberto Fernández-Soto Vicent J Martínez Enn Saar Pekka Heinämäki Ivan Suhhonenko |
| Institution: | Observatori Astronòmic, Universitat de València, Apartat de Correus 22085, E-46071 València, Spain;Departament d'Astronomia i Astrofísica, Universitat de València, Apartat de Correus 22085, E-46071 València, Spain;Instituto de Física de Cantabria (CSIC-UC), Avda de los Castros s/n, E-39005 Santander, Spain;Tartu Observatoorium, Tõravere, 61602 Estonia;University of Turku, Department of Physics and Astronomy, Tuorla Observatory, Väisäläntie 20, Piikkiö, Finland |
| 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 with 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: | methods: data analysis methods: statistical techniques: photometric galaxies: distances and redshifts large-scale structure of Universe |