Paper:	Detecting Galaxy Clusters at 0.1 < z < 2.0
Volume:	380, At the Edge of the Universe: Latest Results from the Deepest Astronomical Surveys
Page:	499
Authors:	Clewley, L.; van Breukelen, C.; Bonfield, D.
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 consists of UKIDSS Ultra Deep Survey infrared J and K data combined with 3.6 μm and 4.5 μm Spitzer bands and optical BV Ri z imaging from the Subaru Telescope. The cluster catalogue contains 13 clusters at redshifts 0.61 ≤ z ≤ 1.39 with luminosities 10L* Ltot ≤ 50L*.

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