TESS Stellar Rotation up to 80 days in the Southern Continuous Viewing Zone
Zachary R. Claytor, Jennifer L. van Saders, Lyra Cao, Marc H., Pinsonneault, Johanna Teske, Rachael L. Beaton

TL;DR
This paper uses machine learning to recover stellar rotation periods up to 80 days from TESS data, revealing new insights into stellar spin-down, activity, and magnetic braking in cool dwarfs.
Contribution
It presents a novel catalog of 7245 rotation periods for cool dwarfs in the TESS Southern CVZ using convolutional neural networks, extending rotation detection beyond previous limits.
Findings
Detected rotation periods up to 80 days in TESS data.
Identified a period gap in 10-20 days consistent with prior studies.
Found correlations between rotation detectability and stellar properties.
Abstract
The TESS mission delivers time-series photometry for millions of stars across the sky, offering a probe into stellar astrophysics, including rotation, on a population scale. However, light curve systematics related to the satellite's 13.7-day orbit have prevented stellar rotation searches for periods longer than 13 days, putting the majority of stars beyond reach. Machine learning methods have the ability to identify systematics and recover robust signals, enabling us to recover rotation periods up to 35 days for GK dwarfs and 80 days for M dwarfs. We present a catalog of 7245 rotation periods for cool dwarfs in the Southern Continuous Viewing Zone, estimated using convolutional neural networks. We find evidence for structure in the period distribution consistent with prior Kepler and K2 results, including a gap in 10--20-day cool star periods thought to arise from a change in stellar…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomical Observations and Instrumentation · Astronomy and Astrophysical Research
