Blomme, J. and Sarro, L. M. and O'Donovan, F. T. and Debosscher, J. and Brown, T. and Lopez, M. and Dubath, P. and Rimoldini, L. and Charbonneau, D. and Dunham, E. and Mandushev, G. and Ciardi, D. R. and De Ridder, J. and Aerts, C. (2011) Improved methodology for the automated classification of periodic variable stars. Monthly Notices of the Royal Astronomical Society, 418 (1). pp. 96-106. ISSN 0035-8711. https://resolver.caltech.edu/CaltechAUTHORS:20111223-085345434
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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 ~26 000 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.
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| Additional Information: | © 2011 The Authors. Monthly Notices of the Royal Astronomical Society © 2011 RAS. Accepted 2011 July 18. Received 2011 July 18; in original form 2010 October 2. Article first published online: 22 Sep. 2011. The research leading to these results has received funding from the European Research Council under the European Community’s Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement no. 227224 (PROSPERITY), the Research Council of K. U. Leuven (GOA/2008/04), from the Fund for Scientific Research of Flanders (G.0332.06), the Belgian Federal Science Policy Office (C90309: CoRoT Data Exploitation, C90291 Gaia-DPAC) and the Spanish Ministerio de Educaciόn y Ciencia through grant AYA2005-04286. Public access to the TrES data was provided to the through the NASA Star and Exoplanet Database (NStED, http://nsted.ipac.caltech.edu). | ||||||||||||||
| Group: | Infrared Processing and Analysis Center (IPAC) | ||||||||||||||
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| Subject Keywords: | methods: data analysis; methods: statistical; techniques: photometric | ||||||||||||||
| Issue or Number: | 1 | ||||||||||||||
| Record Number: | CaltechAUTHORS:20111223-085345434 | ||||||||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20111223-085345434 | ||||||||||||||
| Official Citation: | Blomme, J., Sarro, L. M., O’Donovan, F. T., Debosscher, J., Brown, T., Lopez, M., Dubath, P., Rimoldini, L., Charbonneau, D., Dunham, E., Mandushev, G., Ciardi, D. R., De Ridder, J. and Aerts, C. (2011), Improved methodology for the automated classification of periodic variable stars. Monthly Notices of the Royal Astronomical Society, 418: 96–106. doi: 10.1111/j.1365-2966.2011.19466.x | ||||||||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||||||
| ID Code: | 28583 | ||||||||||||||
| Collection: | CaltechAUTHORS | ||||||||||||||
| Deposited By: | Ruth Sustaita | ||||||||||||||
| Deposited On: | 23 Dec 2011 17:52 | ||||||||||||||
| Last Modified: | 03 Oct 2019 03:33 |
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