posted on 2012-09-26, 14:45authored byC. van Breukelen, L. Clewley, D.G. Bonfield, S. Rawlings, M.J. Jarvis, J.M. Barr, S. Foucaud, O. Almaini, M. Cirasuolo, G. Dalton, J.S. Dunlop, A.C. Edge, P. Hirst, R.J. McLure, M.J. Page, K. Sekiguchi, C. Simpson, I. Smail, Michael G. Watson
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-mu m Spitzer bands and optical BVRi'z' imaging from the Subaru Telescope over 0.5 deg(2) 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* less than or similar to L(tot) less than or similar to 50 L*, corresponding to masses 5 x 10(13) less than or similar to M(cluster) less than or similar to 3 x 10(14)M circle dot for (M/M circle dot)/( L/L circle dot) = 75 h. The measured sky surface density of similar to 10 clusters deg(-2) for high-redshift (z = 0.5-1.5), massive (> 10(14)M circle dot) clusters is precisely in line with theoretical predictions presented by Kneissl et al.
History
Citation
Monthly Notices of the Royal Astronomical Society, 2006, 373 (1), pp. L26-L30 (5)
Author affiliation
/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Physics and Astronomy
Version
VoR (Version of Record)
Published in
Monthly Notices of the Royal Astronomical Society
Publisher
Blackwell Publishing on behalf of the Royal Astronomical Society