Journal Article

Recovering the real-space correlation function from photometric redshift surveys

Pablo Arnalte-Mur, Alberto Fernández-Soto, Vicent J. Martínez, Enn Saar, Pekka Heinämäki and Ivan Suhhonenko

in Monthly Notices of the Royal Astronomical Society

Published on behalf of The Royal Astronomical Society

Volume 394, issue 3, pages 1631-1639
Published in print April 2009 | ISSN: 0035-8711
Published online April 2009 | e-ISSN: 1365-2966 | DOI:
Recovering the real-space correlation function from photometric redshift surveys

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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

Journal Article.  4998 words.  Illustrated.

Subjects: Astronomy and Astrophysics

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