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Morphological Classification of galaxies by Artificial Neural Networks

Storrie-Lombardi, M. C. and Lahav, O. and Sodré, L., Jr. and Storrie-Lombardi, L. J. (1992) Morphological Classification of galaxies by Artificial Neural Networks. Monthly Notices of the Royal Astronomical Society, 259 (1). 8P-12P. ISSN 0035-8711. doi:10.1093/mnras/259.1.8P.

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We explore a method for automatic morphological classification of galaxies by an Artificial Neural Network algorithm. The method is illustrated using 13 galaxy parameters measured by machine (ESO-LV), and classified into five types (E, S0, Sa + Sb, Sc + Sd and Irr). A simple Backpropagation algorithm allows us to train a network on a subset of the catalogue according to human classification, and then to predict, using the measured parameters, the classification for the rest of the catalogue. We show that the neural network behaves in our problem as a Bayesian classifier, i.e. it assigns the a posteriori probability for each of the five classes considered. The network highest probability choice agrees with the catalogue classification for 64 percent of the galaxies. If either the first or the second highest probability choice of the network is considered, the success rate is 90 per cent. The technique allows uniform and more objective classification of very large extragalactic data sets.

Item Type:Article
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Storrie-Lombardi, L. J.0000-0002-5987-5210
Additional Information:© 1992 Royal Astronomical Society. Provided by the NASA Astrophysics Data System. Accepted 1992 September 2. Received 1992 August 24. We thank W. Fitzgerald, J. Hertz, M. Irwin and D. Lynden-Bell for helpful discussions. LSI thanks FAPESP and USP/BID and MCSL thanks the Sheepshanks Fund for financial support.
Funding AgencyGrant Number
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)UNSPECIFIED
Universidade de São PauloUNSPECIFIED
Sheepshanks FundUNSPECIFIED
Subject Keywords:methods: data analysis, catalogues, galaxies: fundamental parameters
Issue or Number:1
Record Number:CaltechAUTHORS:20170321-145448467
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Official Citation:M. C. Storrie-Lombardi, O. Lahav, L. Sodré, Jr, L. J. Storrie-Lombardi; Morphological Classification of galaxies by Artificial Neural Networks. Mon Not R Astron Soc 1992; 259 (1): 8P-12P. doi: 10.1093/mnras/259.1.8P
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:75285
Deposited By: George Porter
Deposited On:22 Mar 2017 14:39
Last Modified:15 Nov 2021 16:32

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