Estimating activity cycles with probabilistic methods

Author： Olspert N.   Lehtinen J. J.   Käpylä M. J.   Pelt J.   Grigorievskiy A.  

Publisher： Edp Sciences

E-ISSN： 1432-0746|619|issue|A6-A6

ISSN： 0004-6361

Source： Astronomy & Astrophysics, Vol.619, Iss.issue, 2018-10, pp. : A6-A6

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Abstract

Context. Debate over the existence of branches in the stellar activity-rotation diagrams continues. Application of modern time series analysis tools to study the mean cycle periods in chromospheric activity index is lacking.

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