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

Chandrika Kamath; Erick Cantu-Paz; Imola K. Fodor; Nu Ai Tang

doi:10.1117/12.447166

1 November 2001 Using data mining to find bent-double radio galaxies in the FIRST survey

Chandrika Kamath, Erick Cantu-Paz, Imola K. Fodor, Nu Ai Tang

Proceedings Volume 4477, Astronomical Data Analysis; (2001) https://doi.org/10.1117/12.447166
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

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.

Citation Download Citation

Chandrika Kamath, Erick Cantu-Paz, Imola K. Fodor, and Nu Ai Tang "Using data mining to find bent-double radio galaxies in the FIRST survey", Proc. SPIE 4477, Astronomical Data Analysis, (1 November 2001); https://doi.org/10.1117/12.447166

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