Applying machine learning to catalogue matching in astrophysics

Rohde, D. J., Drinkwater, M. J., Gallagher, M. R., Downs, T. and Doyle, M. T. (2005) Applying machine learning to catalogue matching in astrophysics. Monthly Notices of The Royal Astronomical Society, 360 1: 69-75. doi:10.1111/j.1365-2966.2005.08930.x

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Author Rohde, D. J.
Drinkwater, M. J.
Gallagher, M. R.
Downs, T.
Doyle, M. T.
Title Applying machine learning to catalogue matching in astrophysics
Journal name Monthly Notices of The Royal Astronomical Society   Check publisher's open access policy
ISSN 0035-8711
Publication date 2005
Sub-type Article (original research)
DOI 10.1111/j.1365-2966.2005.08930.x
Open Access Status DOI
Volume 360
Issue 1
Start page 69
End page 75
Total pages 7
Editor A. C. Fabian
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Collection year 2005
Language eng
Abstract We present the results of applying automated machine learning techniques to the problem of matching different object catalogues in astrophysics. In this study, we take two partially matched catalogues where one of the two catalogues has a large positional uncertainty. The two catalogues we used here were taken from the H I Parkes All Sky Survey (HIPASS) and SuperCOSMOS optical survey. Previous work had matched 44 per cent (1887 objects) of HIPASS to the SuperCOSMOS catalogue. A supervised learning algorithm was then applied to construct a model of the matched portion of our catalogue. Validation of the model shows that we achieved a good classification performance (99.12 per cent correct). Applying this model to the unmatched portion of the catalogue found 1209 new matches. This increases the catalogue size from 1887 matched objects to 3096. The combination of these procedures yields a catalogue that is 72 per cent matched.
Keyword Astronomical Data Bases : Miscellaneous
Astronomy & Astrophysics
Astronomical Data Bases
Supercosmos Sky Survey
Hipass Catalog
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

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Created: Wed, 15 Aug 2007, 06:06:47 EST