Galaxy clusters at 0.6 <z <1.4 in the UKIDSS Ultra Deep Survey Early Data Release

C. 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, M. G. Watson

Research output: Contribution to journalArticlepeer-review

Abstract

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 1014Msolar) clusters is precisely in line with theoretical predictions presented by Kneissl et al.
Original languageEnglish
Pages (from-to)L26-L30
Number of pages5
JournalMonthly Notices of the Royal Astronomical Society
Volume373
Issue number1
DOIs
Publication statusPublished - 21 Nov 2006

Keywords

  • methods: analytical
  • methods: data analysis
  • surveys
  • galaxies: clusters: general
  • galaxies: high-redshift
  • galaxies: photometry

Fingerprint Dive into the research topics of 'Galaxy clusters at 0.6 <z <1.4 in the UKIDSS Ultra Deep Survey Early Data Release'. Together they form a unique fingerprint.

Cite this