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K2 variable catalogue – II. Machine learning classification of variable stars and eclipsing binaries in K2 fields 0–4
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Armstrong, David J., Kirk, James, Lam, K. W. F., McCormac, J. J., Osborn, Hugh P., Spake, J., Walker, S., Brown, D. J. A., Kristiansen, M. H., Pollacco, Don, West, Richard G. and Wheatley, Peter J. (2016) K2 variable catalogue – II. Machine learning classification of variable stars and eclipsing binaries in K2 fields 0–4. Monthly Notices of the Royal Astronomical Society, 456 (2). pp. 2260-2272. doi:10.1093/mnras/stv2836 ISSN 0035-8711.
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Official URL: http://dx.doi.org/10.1093/mnras/stv2836
Abstract
We are entering an era of unprecedented quantities of data from current and planned survey telescopes. To maximize the potential of such surveys, automated data analysis techniques are required. Here we implement a new methodology for variable star classification, through the combination of Kohonen Self-Organizing Maps (SOMs, an unsupervised machine learning algorithm) and the more common Random Forest (RF) supervised machine learning technique. We apply this method to data from the K2 mission fields 0–4, finding 154 ab-type RR Lyraes (10 newly discovered), 377 δ Scuti pulsators, 133 γ Doradus pulsators, 183 detached eclipsing binaries, 290 semidetached or contact eclipsing binaries and 9399 other periodic (mostly spot-modulated) sources, once class significance cuts are taken into account. We present light-curve features for all K2 stellar targets, including their three strongest detected frequencies, which can be used to study stellar rotation periods where the observed variability arises from spot modulation. The resulting catalogue of variable stars, classes, and associated data features are made available online. We publish our SOM code in PYTHON as part of the open source PYMVPA package, which in combination with already available RF modules can be easily used to recreate the method.
Item Type: | Journal Article | ||||||||||
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Subjects: | Q Science > QB Astronomy | ||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Physics | ||||||||||
Library of Congress Subject Headings (LCSH): | Stars -- Classification, Self-organizing maps, Eclipsing binaries, R Scuti stars -- Light curves | ||||||||||
Journal or Publication Title: | Monthly Notices of the Royal Astronomical Society | ||||||||||
Publisher: | Oxford University Press | ||||||||||
ISSN: | 0035-8711 | ||||||||||
Official Date: | 21 February 2016 | ||||||||||
Dates: |
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Volume: | 456 | ||||||||||
Number: | 2 | ||||||||||
Page Range: | pp. 2260-2272 | ||||||||||
DOI: | 10.1093/mnras/stv2836 | ||||||||||
Status: | Peer Reviewed | ||||||||||
Publication Status: | Published | ||||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||||
Date of first compliant deposit: | 6 July 2016 | ||||||||||
Date of first compliant Open Access: | 6 July 2016 | ||||||||||
Funder: | United States. National Aeronautics and Space Administration (NASA) | ||||||||||
Grant number: | NAS5-26555, NNX13AC07G | ||||||||||
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