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We describe the creation of a set of artificially "redshifted" galaxies inthe range 0.1<z<1.1 using a set of ~100 SDSS low redshift (v<7000 km/s) imagesas input. The intention is to generate a training set of realistic images ofgalaxies of diverse morphologies and a large range of redshifts for the GEMSand COSMOS galaxy evolution projects. This training set allows other studies toinvestigate and quantify the effects of cosmological redshift on thedetermination of galaxy morphologies, distortions and other galaxy propertiesthat are potentially sensitive to resolution, surface brightness and bandpassissues. We use galaxy images from the SDSS in the u, g, r, i, z filter bands asinput, and computed new galaxy images from these data, resembling the samegalaxies as located at redshifts 0.1<z<1.1 and viewed with the Hubble SpaceTelescope Advanced Camera for Surveys (HST ACS). In this process we take intoaccount angular size change, cosmological surface brightness dimming, andspectral change. The latter is achieved by interpolating a spectral energydistribution that is fit to the input images on a pixel-to-pixel basis. Theoutput images are created for the specific HST ACS point spread function andthe filters used for GEMS (F606W and F850LP) and COSMOS (F814W). All images arebinned onto the desired pixel grids (0.03" for GEMS and 0.05" for COSMOS) andcorrected to an appropriate point spread function. Noise is added correspondingto the data quality of the two projects and the images are added onto empty skypieces of real data images. We make these datasets available from our website,as well as the code - FERENGI: "Full and Efficient Redshifting of Ensembles ofNearby Galaxy Images" - to produce datasets for other redshifts and/orinstruments.

FERENGI: Redshifting galaxies from SDSS to GEMS, STAGES and COSMOS