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Proceedings Paper

Steps toward the development of an automatic classifier for astronomical sources
Author(s): Carole Thiebaut; Michel Boer; Sylvie Roques
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Paper Abstract

We present the progress we have made in implementing a new kind of automatic classifier for astronomical objects. The developed classifier will work both in the image and time domain and take into account the geometrical and temporal characteristics of the sources. We have first constructed a 2D classifier which is based on a Self Organizing Map. The developed network is able to learn through experience and to discriminate between astronomical objects such as stars, galaxies, saturated objects or blended objects. In order to recognize and classify variable objects, the method had to be improved. We present the next step of classification through our 3D (geometry - time) classifier. The temporal characteristics of the sources are obtained by different analysis of their light curves: time domain, frequency and time-frequency analysis. We add the geometrical and temporal characteristics to obtain a complete classification of the sources. We plan to use the difference image analysis to obtain block of images and analyze them directly through the classifier. Such a complete classification has not yet been realized in the astronomical domain. In general our method works better than other automatic methods and allows a more complete discrimination through astronomical sources.

Paper Details

Date Published: 19 December 2002
PDF: 12 pages
Proc. SPIE 4847, Astronomical Data Analysis II, (19 December 2002); doi: 10.1117/12.461027
Show Author Affiliations
Carole Thiebaut, Ctr. d'Etude Spatial des Rayonnements (United States)
Michel Boer, Ctr. d'Etude Spatial des Rayonnements (France)
Sylvie Roques, Lab. d'Astronomie de Toulouse (France)

Published in SPIE Proceedings Vol. 4847:
Astronomical Data Analysis II
Jean-Luc Starck; Fionn D. Murtagh, Editor(s)

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