A cognitive system for astronomical image interpretation

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Abstract

The classification of galaxies by morphological type is an important problem of astrophysics. In this paper we propose a new methodology for automating this problem. We present a dynamic network which merges three separate technologies: statistical model fitting, from astronomy; syntactic descriptors, from pattern recognition; and synthetic human judgment, from descriptive psychology.

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