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We present a new near-infrared imaging survey in the four CFHTLS deep fields:the WIRCam Deep Survey (WIRDS). WIRDS comprises extremely deep, high quality(FWHM ~0.6") J, H and K imaging covering a total effective area of 2.1 deg^2and reaching AB 50% completeness limits of ~24.5. We combine our images withthe CFHTLS to create a unique eight-band ugrizJHK photometric catalogues in theCFHTLS deep fields; these four separate fields allow us to make a robustestimate of the effect of cosmic variance for all our measurements. We usethese catalogues to estimate precise photometric redshifts, galaxy types andstellar masses for a unique sample of ~1.8 million galaxies. Our JHK numbercounts are consistent with previous studies. We apply the BzK selection to ourgzK filter set and find that the star forming BzK selection successfullyselects 76% of star-forming galaxies in the redshift range 1.4<z<2.5 in ourphotometric catalogue. The passive BzK selection returns 52% of the passive1.4<z<2.5 population identified in the photometric catalogue. We present thegalaxy stellar mass function as a function of redshift up to z=2 and presentfits using double Schechter functions. A mass-dependent evolution of the massfunction is seen with the numbers of galaxies with masses of log(M)<10.75 stillevolving at z<1, but galaxies of higher mass reaching their present day numbersby z~0.8-1. This is consistent with the present picture of downsizing in galaxyevolution. We compare our results with the predictions of the GALFORMsemi-analytical galaxy formation model and find that the simulations provide arelatively successful fit to the observed mass functions at intermediate masses(i.e. 10<log(M)<11). However, the GALFORM results under-predict the massfunction at low masses, whilst the fit as a whole degrades beyond redshifts ofz~1.2.

The WIRCam Deep Survey I: Counts, colours and mass-functions derived from near-infrared imaging in the CFHTLS deep fields