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J/MNRAS/456/2260 K2 Variability Catalogue II (Armstrong+, 2016)
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Beginning of ReadMe :J/MNRAS/456/2260 K2 Variability Catalogue II (Armstrong+, 2016)
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K2 Variable Catalogue.
II: Machine learning classification of variable stars and eclipsing binaries
in K2 fields 0-4.
Armstrong D.J., Kirk J., Lam K.W.F., McCormac J., Osborn H.P., Spake J.,
Walker S., Brown D.J.A., Kristiansen M.H., Pollacco D., West R.,
Wheatley P.J.
<Mon. Not. R. Astron. Soc. 456, 2260 (2016)>
=2016MNRAS.456.2260A (SIMBAD/NED BibCode)
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ADC_Keywords: Stars, variable ; Binaries, eclipsing
Keywords: methods: data analysis - techniques: photometric - catalogues -
binaries: eclipsing - stars: variable: general
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 delta Scuti pulsators, 133 gamma 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.
Description:
Data are taken from the K2 satellite (Howell et al.,
2014PASP..126..398H). K2 is the repurposed Kepler mission, and
provides light-curve flux measurements at a 30min 'long' cadence
continuously for 80d per target. Targets are organized into
campaigns, with each campaign spanning an 80d period and covering
several thousand objects. A much smaller number of targets (a few tens
per campaign) are available at the 'short' cadence of 1min.
For the purposes of this work, we restrict ourselves to long cadence
data only, to preserve uniformity in the data.
Complete catalogue and data feature files.