{"oa":1,"date_updated":"2022-08-22T08:16:53Z","article_number":"1906.09609","date_created":"2022-07-20T11:18:53Z","external_id":{"arxiv":["1906.09609"]},"publication_status":"submitted","publication":"arXiv","status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"full_name":"Breton, S. N.","first_name":"S. N.","last_name":"Breton"},{"full_name":"Bugnet, Lisa Annabelle","last_name":"Bugnet","orcid":"0000-0003-0142-4000","first_name":"Lisa Annabelle","id":"d9edb345-f866-11ec-9b37-d119b5234501"},{"full_name":"Santos, A. R. G.","first_name":"A. R. G.","last_name":"Santos"},{"last_name":"Saux","first_name":"A. Le","full_name":"Saux, A. Le"},{"full_name":"Mathur, S.","last_name":"Mathur","first_name":"S."},{"last_name":"Palle","first_name":"P. L.","full_name":"Palle, P. L."},{"last_name":"Garcia","first_name":"R. A.","full_name":"Garcia, R. A."}],"oa_version":"Preprint","title":"Determining surface rotation periods of solar-like stars observed by the Kepler mission using machine learning techniques","date_published":"2019-06-23T00:00:00Z","citation":{"short":"S.N. Breton, L.A. Bugnet, A.R.G. Santos, A.L. Saux, S. Mathur, P.L. Palle, R.A. Garcia, ArXiv (n.d.).","apa":"Breton, S. N., Bugnet, L. A., Santos, A. R. G., Saux, A. L., Mathur, S., Palle, P. L., &#38; Garcia, R. A. (n.d.). Determining surface rotation periods of solar-like stars observed by the Kepler mission using machine learning techniques. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.1906.09609\">https://doi.org/10.48550/arXiv.1906.09609</a>","ieee":"S. N. Breton <i>et al.</i>, “Determining surface rotation periods of solar-like stars observed by the Kepler mission using machine learning techniques,” <i>arXiv</i>. .","mla":"Breton, S. N., et al. “Determining Surface Rotation Periods of Solar-like Stars Observed by the Kepler Mission Using Machine Learning Techniques.” <i>ArXiv</i>, 1906.09609, doi:<a href=\"https://doi.org/10.48550/arXiv.1906.09609\">10.48550/arXiv.1906.09609</a>.","ista":"Breton SN, Bugnet LA, Santos ARG, Saux AL, Mathur S, Palle PL, Garcia RA. Determining surface rotation periods of solar-like stars observed by the Kepler mission using machine learning techniques. arXiv, 1906.09609.","ama":"Breton SN, Bugnet LA, Santos ARG, et al. Determining surface rotation periods of solar-like stars observed by the Kepler mission using machine learning techniques. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.1906.09609\">10.48550/arXiv.1906.09609</a>","chicago":"Breton, S. N., Lisa Annabelle Bugnet, A. R. G. Santos, A. Le Saux, S. Mathur, P. L. Palle, and R. A. Garcia. “Determining Surface Rotation Periods of Solar-like Stars Observed by the Kepler Mission Using Machine Learning Techniques.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.1906.09609\">https://doi.org/10.48550/arXiv.1906.09609</a>."},"abstract":[{"lang":"eng","text":"For a solar-like star, the surface rotation evolves with time, allowing in principle to estimate the age of a star from its surface rotation period. Here we are interested in measuring surface rotation periods of solar-like stars observed by the NASA mission Kepler. Different methods have been developed to track rotation signals in Kepler photometric light curves: time-frequency analysis based on wavelet techniques, autocorrelation and composite spectrum. We use the learning abilities of random forest classifiers to take decisions during two crucial steps of the analysis. First, given some input parameters, we discriminate the considered Kepler targets between rotating MS stars, non-rotating MS stars, red giants, binaries and pulsators. We then use a second classifier only on the MS rotating targets to decide the best data analysis treatment."}],"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1906.09609"}],"keyword":["asteroseismology","rotation","solar-like stars","kepler","machine learning","random forest"],"language":[{"iso":"eng"}],"extern":"1","month":"06","year":"2019","doi":"10.48550/arXiv.1906.09609","_id":"11627","day":"23","type":"preprint","article_processing_charge":"No"}