Automated morphological classification of faint galaxies

Statistics – Computation

Scientific paper

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Faint Objects, Galactic Structure, Morphology, Astronomical Catalogs, Astronomical Photography, Classifying, Computational Astrophysics, Galactic Clusters

Scientific paper

A fully automated morphological classification system for faint galaxies is described. By means of fuzzy algebra and the subsequent application of the heuristic methods, five morphological classes of galaxies, corresponding to Hubble types, are determined in the range m greater than 14 and less than or equal to 19. The application of the classification program to 16 ESO-SERC fields near the South Galactic Pole leads to a homogeneous catalog of more than 100,000 galaxies. From these data, the morphological type mixture is determined to be E:SO:S/IR = 14:21:65 (percent), with slight variations between areas with diferent degrees of clustering. The two-point correlation functions of the different morphological classes show the decreasing tendency for clustering from early to late type galaxies.

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