AAS 207th Meeting, 8-12 January 2006
Session 62 The COSMOS Survey
Poster, Tuesday, 9:20am-6:30pm, January 10, 2006, Exhibit Hall

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[62.09] Redshifting galaxies: SDSS to GEMS and COSMOS

K. Jahnke, M. Barden (MPIA Heidelberg, Germany)

We describe the compilation of a large sample of artificially ``redshifted'' galaxies in the redshift range 0.1 < z < 2 using local galaxies from SDSS as input. While earlier studies focused on UV properties and using small numbers of galaxies, we aim for the following applications: a) Generation of a training set of galaxies with diverse morphologies and large range of redshifts for the HST deep field surveys, such as the GEMS and COSMOS galaxy evolution projects. It will allow one to quantify the effects of redshift on the determination of galaxy morphologies, distortions and other galaxy properties that are sensitive to resolution, surface brightness and bandpass issues. b) To study the morphological and luminosity evolution of galaxies from GEMS and COSMOS with respect to the local universe, minimizing the effects of morphological and spectral K-correction. c) Construction of realistically simulated AGNs with known host galaxy properties after addition of a bright nucleus. This is essential to assess the sensitivity and required corrections for studies of AGN host galaxy evolution out to redshifts of 2.

We use galaxy images from the SDSS in the u, g, r, i, z filter bands as input, and compute new galaxy images from these data, resembling the same galaxies as located at higher redshifts and viewed with the Hubble Space Telescope Advanced Camera for Surveys (HST ACS). We take into account cosmological corrections and bandpass shifting. Output images are created for the specific HST ACS point spread function and the filters used for COSMOS (F814W) and GEMS (F606W and F850LP), and realistic noise. The current dataset comprises 100 objects, the extention for the first time to a complete sample of 1000 galaxies is in progress. We will make these datasets available from our website, as well as the code to produce datasets for other redshifts, filters and/or instruments.

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