Spectral classification, morphology, and detection of distant galaxies

Astronomy and Astrophysics – Astronomy

Scientific paper

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Astrometry, Astronomical Spectroscopy, Galactic Evolution, Morphology, Red Shift, Brightness, Image Resolution, Signal To Noise Ratios, Sky Surveys (Astronomy)

Scientific paper

We describe a framework for utilizing both colors and morphology to test for evolution in deep samples of field galaxies. Spectral classification, as a first step, provides a well-defined referent when comparing galaxy morphology at different redshifts, because unlike morphology, colors can be measured consistently regardless of image resolution. We examine the dependence of size and surface brightness on spectral type and demonstrate the importance of these morphological quantities in determining survey completeness in the BJ and K bands. By these criteria, the deepest published K band counts should be complete to z less than 0.6 for all galaxies found in our sample. Bright optical surveys may miss nearby faint blue galaxies.

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