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Proceedings Paper

Using data mining to find bent-double radio galaxies in the FIRST survey
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Paper Abstract

In this paper, we describe the use of data mining techniques to search for radio-emitting galaxies with a bent-double morphology. In the past, astronomers from the FIRST (Faint Images of the Radio Sky at Twenty-cm) survey identified these galaxies through visual inspection. This was not only subjective but also tedious as the on-going survey now covers 8000 square degrees, with each square degree containing about 90 galaxies. In this paper, we describe how data mining can be used to automate the identification of these galaxies. We discuss the challenges faced in defining meaningful features that represent the shape of a galaxy and our experiences with ensembles of decision trees for the classification of bent-double galaxies.

Paper Details

Date Published: 1 November 2001
PDF: 9 pages
Proc. SPIE 4477, Astronomical Data Analysis, (1 November 2001); doi: 10.1117/12.447166
Show Author Affiliations
Chandrika Kamath, Lawrence Livermore National Lab. (United States)
Erick Cantu-Paz, Lawrence Livermore National Lab. (United States)
Imola K. Fodor, Lawrence Livermore National Lab. (United States)
Nu Ai Tang, Lawrence Livermore National Lab. (United States)


Published in SPIE Proceedings Vol. 4477:
Astronomical Data Analysis
Jean-Luc Starck; Fionn D. Murtagh, Editor(s)

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