Recovering the real-space correlation function from photometric redshift surveys

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dc.creatorArnalte-Mur, Pablo
dc.creatorFernández-Soto, Alberto
dc.creatorMartínez, Vicent J.
dc.creatorSaar, Enn
dc.creatorHeinämäki, Pekka
dc.creatorSuhhonenko, Ivan
dc.date2008-12-22
dc.date.accessioned2026-07-07T13:04:49Z
dc.date.available2026-07-07T13:04:49Z
dc.descriptionMeasurements 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.
dc.description11 pages, 8 figures. Accepted for publication in MNRAS
dc.identifierhttps://arxiv.org/abs/0812.4226
dc.identifierhttp://arxiv.org/abs/0812.4226
dc.identifierMon. Not. R. Astron. Soc. 394, 1631-1639 (2009)
dc.identifierdoi:10.1111/j.1365-2966.2009.14430.x
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/227301
dc.subjectAstrophysics
dc.titleRecovering the real-space correlation function from photometric redshift surveys
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