A reliable cluster detection technique using photometric redshifts: introducing the 2TecX algorithm

Details A reliable cluster detection technique using photometric redshifts: introducing the 2TecX algorithm A reliable cluster detection technique using photometric redshifts: introducing the 2TecX algorithm

2009-02-25

arxiv.org/abs/0902.4388v1

Astronomy and Astrophysics

Astrophysics

Cosmology and Extragalactic Astrophysics

13 Pages, 17 figures, accepted for publication in MNRAS

Scientific paper

We present a new cluster detection algorithm designed for finding high-redshift clusters using optical/infrared imaging data. The algorithm has two main characteristics. First, it utilises each galaxy's full redshift probability function, instead of an estimate of the photometric redshift based on the peak of the probability function and an associated Gaussian error. Second, it identifies cluster candidates through cross-checking the results of two substantially different selection techniques (the name 2TecX representing the cross-check of the two techniques). These are adaptations of the Voronoi Tesselations and Friends-Of-Friends methods. Monte-Carlo simulations of mock catalogues show that cross-checking the cluster candidates found by the two techniques significantly reduces the detection of spurious sources. Furthermore, we examine the selection effects and relative strengths and weaknesses of either method. The simulations also allow us to fine-tune the algorithm's parameters, and define completeness and mass limit as a function of redshift. We demonstrate that the algorithm isolates high-redshift clusters at a high level of efficiency and low contamination.

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