Improved methodology for the automated classification of periodic variable stars
Article
Article Title | Improved methodology for the automated classification of periodic variable stars |
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ERA Journal ID | 1074 |
Article Category | Article |
Authors | Blomme, J. (Author), Sarro, L. M. (Author), O'Donovan, F. T. (Author), Debosscher, J. (Author), Brown, T. (Author), Lopez, M. (Author), Dubath, P. (Author), Rimoldini, L. (Author), Charbonneau, D. (Author), Dunham, E. (Author), Mandushev, G. (Author), Ciardi, D. R. (Author), De Ridder, J. (Author) and Aerts, C. (Author) |
Journal Title | Monthly Notices of the Royal Astronomical Society |
Journal Citation | 418 (1), pp. 96-106 |
Number of Pages | 11 |
Year | 2011 |
Publisher | Oxford University Press |
Place of Publication | United Kingdom |
ISSN | 0035-8711 |
1365-2966 | |
Digital Object Identifier (DOI) | https://doi.org/10.1111/j.1365-2966.2011.19466.x |
Web Address (URL) | https://academic.oup.com/mnras/article/418/1/96/956581 |
Abstract | We present a novel automated methodology to detect and classify periodic variable stars in a large data base of photometric time series. The methods are based on multivariate Bayesian statistics and use a multistage approach. We applied our method to the ground-based data of the Trans-Atlantic Exoplanet Survey (TrES) Lyr1 field, which is also observed by the Kepler satellite, covering ∼26000 stars. We found many eclipsing binaries as well as classical non-radial pulsators, such as slowly pulsating B stars, γ Doradus, β Cephei and δ Scuti stars. Also a few classical radial pulsators were found. |
Keywords | Statistical methods; data analysis; Techniques: photometric; |
ANZSRC Field of Research 2020 | 510109. Stellar astronomy and planetary systems |
519999. Other physical sciences not elsewhere classified | |
Public Notes | This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society ©: 2011 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved. |
Byline Affiliations | Catholic University of Leuven, Belgium |
National University of Distance Education, Spain | |
California Institute of Technology (Caltech), United States | |
Las Cumbres Observatory, United States | |
Spanish Astrobiology Centre, Spain | |
Geneva Observatory, Switzerland | |
Center for Astrophysics Harvard and Smithsonian, United States | |
Lowell Observatory, United States | |
National Aeronautics and Space Administration (NASA), United States | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q432z/improved-methodology-for-the-automated-classification-of-periodic-variable-stars
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