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

doi:10.1111/j.1745-3933.2006.00236.x

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

School of Physics and Astronomy

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	L26-L30
Number of pages	5
Journal	Monthly Notices of the Royal Astronomical Society
Volume	373
Issue number	1
DOIs	https://doi.org/10.1111/j.1745-3933.2006.00236.x
Publication status	Published - 21 Nov 2006

Keywords

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

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10.1111/j.1745-3933.2006.00236.x

http://adsabs.harvard.edu/abs/2006MNRAS.373L..26V

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van Breukelen, C., Clewley, L., Bonfield, D. G., Rawlings, S., Jarvis, M. J., Barr, J. M., Foucaud, S., Almaini, O., Cirasuolo, M., Dalton, G., Dunlop, J. S., Edge, A. C., Hirst, P., McLure, R. J., Page, M. J., Sekiguchi, K., Simpson, C., Smail, I., & Watson, M. G. (2006). Galaxy clusters at 0.6 <z <1.4 in the UKIDSS Ultra Deep Survey Early Data Release. Monthly Notices of the Royal Astronomical Society, 373(1), L26-L30. https://doi.org/10.1111/j.1745-3933.2006.00236.x

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

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.",

keywords = "methods: analytical , methods: data analysis, surveys, galaxies: clusters: general , galaxies: high-redshift , galaxies: photometry",

author = "{van Breukelen}, C. and L. Clewley and Bonfield, {D. G.} and S. Rawlings and Jarvis, {M. J.} and Barr, {J. M.} and S. Foucaud and O. Almaini and M. Cirasuolo and G. Dalton and Dunlop, {J. S.} and Edge, {A. C.} and P. Hirst and McLure, {R. J.} and Page, {M. J.} and K. Sekiguchi and C. Simpson and I. Smail and Watson, {M. G.}",

year = "2006",

month = nov,

day = "21",

doi = "10.1111/j.1745-3933.2006.00236.x",

language = "English",

volume = "373",

pages = "L26--L30",

journal = "Monthly Notices of the Royal Astronomical Society ",

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van Breukelen, C, Clewley, L, Bonfield, DG, Rawlings, S, Jarvis, MJ, Barr, JM, Foucaud, S, Almaini, O, Cirasuolo, M, Dalton, G, Dunlop, JS, Edge, AC, Hirst, P, McLure, RJ, Page, MJ, Sekiguchi, K, Simpson, C, Smail, I & Watson, MG 2006, 'Galaxy clusters at 0.6 <z <1.4 in the UKIDSS Ultra Deep Survey Early Data Release', Monthly Notices of the Royal Astronomical Society, vol. 373, no. 1, pp. L26-L30. https://doi.org/10.1111/j.1745-3933.2006.00236.x

TY - JOUR

T1 - Galaxy clusters at 0.6 <z <1.4 in the UKIDSS Ultra Deep Survey Early Data Release

AU - van Breukelen, C.

AU - Clewley, L.

AU - Bonfield, D. G.

AU - Rawlings, S.

AU - Jarvis, M. J.

AU - Barr, J. M.

AU - Foucaud, S.

AU - Almaini, O.

AU - Cirasuolo, M.

AU - Dalton, G.

AU - Dunlop, J. S.

AU - Edge, A. C.

AU - Hirst, P.

AU - McLure, R. J.

AU - Page, M. J.

AU - Sekiguchi, K.

AU - Simpson, C.

AU - Smail, I.

AU - Watson, M. G.

PY - 2006/11/21

Y1 - 2006/11/21

N2 - 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.

AB - 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.

KW - methods: analytical

KW - methods: data analysis

KW - surveys

KW - galaxies: clusters: general

KW - galaxies: high-redshift

KW - galaxies: photometry

U2 - 10.1111/j.1745-3933.2006.00236.x

DO - 10.1111/j.1745-3933.2006.00236.x

M3 - Article

VL - 373

SP - L26-L30

JO - Monthly Notices of the Royal Astronomical Society

JF - Monthly Notices of the Royal Astronomical Society

SN - 0035-8711

IS - 1

ER -

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

Abstract

Keywords

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