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APPROACHES TO AUTOMATED MORPHOLOGICAL CLASSIFICATION OF GALAXIES

By Avi Naim

Abstract

Abstract { There is an obvious need for automated classi cation of galaxies, as the number of observed galaxies increases very fast. We examine several approaches to this problem, utilising Arti cial Neural Networks (ANNs). We quote results from a recent study which show that ANNs can classsify galaxies morphologically as well as humans can. key-words { galaxies: classi cation- data processing 1

Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.315.4184
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