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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-60056

Soares-Santos, M; de Carvalho, R R; Annis, J; Gal, R R; La Barbera, F; Lopes, P A A; Wechsler, R H; Busha, M T; Gerke, B F (2010). The Voronoi Tessellation cluster finder in 2+1 dimensions. Astrophysical Journal, 727(1):45.

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Abstract

We present a detailed description of the Voronoi Tessellation (VT) cluster finder algorithm in 2+1 dimensions, which improves on past implementations of this technique. The need for cluster finder algorithms able to produce reliable cluster catalogs up to redshift 1 or beyond and down to $10^{13.5}$ solar masses is paramount especially in light of upcoming surveys aiming at cosmological constraints from galaxy cluster number counts. We build the VT in photometric redshift shells and use the two-point correlation function of the galaxies in the field to both determine the density threshold for detection of cluster candidates and to establish their significance. This allows us to detect clusters in a self consistent way without any assumptions about their astrophysical properties. We apply the VT to mock catalogs which extend to redshift 1.4 reproducing the $\Lambda$CDM cosmology and the clustering properties observed in the SDSS data. An objective estimate of the cluster selection function in terms of the completeness and purity as a function of mass and redshift is as important as having a reliable cluster finder. We measure these quantities by matching the VT cluster catalog with the mock truth table. We show that the VT can produce a cluster catalog with completeness and purity $>80%$ for the redshift range up to $\sim 1$ and mass range down to $\sim 10^{13.5}$ solar masses.

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Theoretical Physics
DDC:530 Physics
Language:English
Date:2010
Deposited On:23 Feb 2012 23:07
Last Modified:19 Jan 2014 15:35
Publisher:Institute of Physics Publishing
ISSN:0004-637X
Publisher DOI:10.1088/0004-637X/727/1/45
Related URLs:http://arxiv.org/abs/1011.3458
Citations:Web of Science®. Times Cited: 6
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