2006MNRAS.373L..26V

We present the first cluster catalogue extracted from the UKIRT Infrared Deep Sky Survey (UKIDSS) Early Data Release. The catalogue is created using UKIDSS Ultra Deep Survey infrared J and K data combined with 3.6- and 4.5-µm Spitzer bands and optical BVRi'z' imaging from the Subaru Telescope over 0.5 deg² in the Subaru XMM-Newton Deep Field. We have created a new cluster detection algorithm, based on the friends-of-friends and Voronoi tessellation methods, which utilizes probability distribution functions derived from a photometric redshift analysis. We employ mock catalogues to understand the selection effects and contamination associated with the algorithm. The cluster catalogue contains 13 clusters at redshifts 0.61 ≤ z ≤ 1.39 with luminosities 10 L* ≲ L_tot≲ 50 L*, corresponding to masses 5x10¹³ ≲ M_cluster≲ 3x10¹⁴M_☉for (M/M_☉)/(L/L_☉) = 75h. The measured sky surface density of ∼10 clusters/deg2 for high-redshift (z = 0.5-1.5), massive (> 10¹⁴M_☉) clusters is precisely in line with theoretical predictions presented by Kneissl et al.