Photometric Redshifts in Hubble Deep Field South

Abstract

We apply both a traditional `dropout' approach and a photometric redshift estimation technique to the Hubble Deep Field South data. We give a list of dropout selected z$\sim$3 objects, and show their images. We then discuss our photometric redshift estimation technique, demonstrate both its effectiveness and the role played by near-IR data, and then apply it to HDF-S to obtain an estimated redshift distribution.