Approaches to Automated Morphological Classification of Galaxies

There is an obvious need for automated classification of galaxies, as the number of observed galaxies increases very fast. We examine several approaches to this problem, utilising {\em Artificial Neural Networks} (ANNs). We quote results from a recent study which show that ANNs can classsify galaxie...

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Bibliographic Details
Main Author Naim, Avi
Format Journal Article
LanguageEnglish
Published 17.11.1994
Subjects
Physics - Astrophysics of Galaxies
Physics - Cosmology and Nongalactic Astrophysics
Physics - Earth and Planetary Astrophysics
Physics - High Energy Astrophysical Phenomena
Physics - Instrumentation and Methods for Astrophysics
Physics - Solar and Stellar Astrophysics
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Summary:There is an obvious need for automated classification of galaxies, as the number of observed galaxies increases very fast. We examine several approaches to this problem, utilising {\em Artificial Neural Networks} (ANNs). We quote results from a recent study which show that ANNs can classsify galaxies morphologically as well as humans can.
Bibliography:IoA-Vis-ANN94/2
DOI:10.48550/arxiv.astro-ph/9411070