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Classifying bent-double galaxies

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4 Author(s)
Kamath, C. ; Center for Appl. Sci. Comput., Lawrence Livermore Nat. Lab., CA, USA ; Cantu-Paz, E. ; Fodor, I.K. ; Nu Ai Tang

Astronomy data sets have led to interesting problems in mining scientific data. These problems will likely become more challenging as the astronomy community brings several surveys online as part of the National Virtual Observatory, giving rise to the possibility of mining data across many different surveys. In this article, we discuss the work we performed while using the catalog from the FIRST (Faint Images of the Radio Sky at Twenty centimetres) survey to classify galaxies with a bent-double morphology, meaning those galaxies that appear to be bent in shape. We describe the approach we took to mine this data, the issues we addressed in working with a real data set, and the lessons we learned in the process

Published in:

Computing in Science & Engineering  (Volume:4 ,  Issue: 4 )