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Starspot migration in close binaries: A fast parameters evaluation from large sky surveys

Published online by Cambridge University Press:  30 May 2017

B. Debski  and
S. Zola
B. Debski
Affiliation:
Astronomical Observatory of the Jagiellonian University, Orla 171, 30-244 Krakow, Poland email: b.debski@oa.uj.edu.pl
S. Zola
Affiliation:
Astronomical Observatory of the Jagiellonian University, Orla 171, 30-244 Krakow, Poland email: b.debski@oa.uj.edu.pl Mt. Suhora Observatory, Pedagogical University, ul. Podchorazych 2, 30-084 Krakow, Poland email: szola@oa.uj.edu.pl
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Abstract

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We developed a method that allows to classify the light curves of eclipsing binaries of the W UMa type (EW) with respect to their intrinsic variability. The algorithm measures several features of light curves, such as the amplitude of the O’Connell effect, the separation and location of maxima brightness as well as depths of the minima in subsequent orbital periods. This method is capable of distinguishing systems with presumed magnetic activity present from these without it, as well as recognizing systems with starspots migration and those with other types of intrinsic variability manifestation. The classification is done in an automatic way without a time consuming, visual inspection of light curves.

Keywords

Starsvariable starsclassification
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 12 , Symposium S325: Astroinformatics , October 2016 , pp. 274 - 277
Copyright
Copyright © International Astronomical Union 2017 

References

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