Determination of rotation periods in solar-like stars with irregular sampling: the Gaia case
E. Distefano (1), A. C. Lanzafame (1, 2), A. F. Lanza (1), S., Messina (1), A. J. Korn (3), K. Eriksson (3), J. Cuypers (4) ((1) INAF -, Catania Astrophysical Observatory, Catania, Italy, (2) University of Catania,, Astrophysics Section, Dept. of Physics, Astronomy Catania

TL;DR
This study evaluates the ability of Gaia's irregular sampling to accurately determine rotation periods of solar-like stars, revealing a strong dependence on ecliptic latitude and rotation period, with detection rates varying significantly.
Contribution
It introduces a comprehensive simulation framework to assess Gaia's effectiveness in measuring stellar rotation periods considering irregular sampling and stellar activity.
Findings
Detection rate peaks at 70% around ecliptic latitude 45° for P ~ 1 day
Detection rates drop below 10% at high ecliptic latitudes for short periods
Longer periods (>5 days) have very low detection success, around 5% on average
Abstract
We present a study on the determination of rotation periods (P) of solar-like stars from the photometric irregular time-sampling of the ESA Gaia mission, currently scheduled for launch in 2013, taking into account its dependence on ecliptic coordinates. We examine the case of solar-twins as well as thousands of synthetic time-series of solar-like stars rotating faster than the Sun. In the case of solar twins we assume that the Gaia unfiltered photometric passband G will mimic the variability of the total solar irradiance (TSI) as measured by the VIRGO experiment. For stars rotating faster than the Sun, light-curves are simulated using synthetic spectra for the quiet atmosphere, the spots, and the faculae combined by applying semi-empirical relationships relating the level of photospheric magnetic activity to the stellar rotation and the Gaia instrumental response. The capabilities of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
