  We present the first cluster catalogue extracted from the UKIRT Infrared Deep
Sky Survey Early Data Release. The catalogue is created using UKIDSS Ultra Deep
Survey infrared J and K data combined with 3.6 micro-m and 4.5 micro-m Spitzer
bands and optical BVRi'z' imaging from the Subaru Telescope over 0.5 square
degrees 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 utilises 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 5 x 10^13 M_sun
<~ M_cluster <~ 3 x 10^14 M_sun for (M/M_sun) / (L/L_sun) = 75h. The measured
sky surface density of ~ 10 deg^-2 for high-redshift (z=0.5-1.5), massive
(>10^14 M_sun) clusters is precisely in line with theoretical predictions
presented by Kneissl et al. (2001).
