Surface rotation and photometric activity for Kepler targets. II. G and F main-sequence stars, and cool subgiant stars
A. R. G. Santos, S. N. Breton, S. Mathur, R. A. Garc\'ia

TL;DR
This study analyzes Kepler data to determine stellar rotation periods and activity levels for a large sample of G, F, and subgiant stars, revealing new insights into stellar magnetic activity and rotation behaviors.
Contribution
It introduces a combined wavelet, autocorrelation, and machine learning approach to reliably measure rotation periods and activity proxies for nearly 40,000 stars, expanding previous datasets.
Findings
Hotter stars are generally faster rotators.
F stars tend to have smaller activity proxies than cooler stars.
New rotation periods identified for over 24,000 stars.
Abstract
Dark magnetic spots crossing the stellar disc lead to quasi-periodic brightness variations, which allow us to constrain stellar surface rotation and photometric activity. The current work is the second of this series (Santos et al. 2019; Paper I), where we analyze the Kepler long-cadence data of 132,921 main-sequence F and G stars and late subgiant stars. Rotation-period candidates are obtained by combining wavelet analysis with autocorrelation function. Reliable rotation periods are then selected via a machine learning (ML) algorithm (Breton et al. 2021), automatic selection, and complementary visual inspection. The ML training data set comprises 26,521 main-sequence K and M stars from Paper I. To supplement the training, we analyze in the same way as Paper I, i.e. automatic selection and visual inspection, 34,100 additional stars. We finally provide rotation periods Prot and…
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