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V.J. Mikles (KPNO/REU), M.J.I. Brown, B.T. Jannuzi, A. Dey (NOAO), G.P. Tiede (UF)
Using the NOAO Deep Wide-Field Survey pass-bands (B\rm wRIJHK) we show that we can achieve reliable star-galaxy color separation and good photometric redshift estimates. Using simulated NDWFS object catalogs, we tested several methods of estimating photometric redshifts and quantified the accuracy as a function of the object type, magnitude, the number of colors available, and the estimation technique. Tests with simulated and real data sets show that B\rm wIK photometry provides a clear separation between stars and galaxies to K~19.5. Extending the analysis to additional colors enables us to separate AGNs from stars and galaxies over a broad range of redshifts. Applying color selection criteria, we can separate objects by type and improve our photometric redshift estimates.
Valerie Mikles' research was supported by the NOAO/KPNO REU Program, funded by the National Science Foundation.