Detecting galaxy clusters at 0.1 < z < 2.0

Abstract

We present a new cluster-finding algorithm based on a combination of the Voronoi Tessellation and Friends-Of-Friends methods. The algorithm utilises probability distribution functions derived from a photometric redshift analysis and is tested on simulated cluster-catalogues. We use a 9 band photometric catalogue over 0.5 square degrees in the Subaru XMM-Newton Deep Field. The photometry is comprised of UKIDSS Ultra Deep Survey infrared J and K data combined with 3.6 micro-m and 4.5 micro-m Spitzer bands and optical BVRi'z' imaging from the Subaru Telescope. The cluster catalogue contains 13 clusters at redshifts 0.61 <= z <= 1.39 with luminosities 10L* < L_tot < 50 L*.