17 citations · 19 across the 7 of their papers we have counts for
4 papers · 1 filter
The Maunder Model and Catalog: Stellar Rotation, Bimodal Activity, and Magnetic Braking in Kepler Main-Sequence Stars
Ilay Kamai, Lavi Somers, Hagai B. Perets
We present The Maunder, a machine learning pipeline and resulting catalog of rotation periods for 148,746 main-sequence stars in the Kepler field. To overcome single-catalog system…
Machine-learning inference of stellar properties using integrated photometric and spectroscopic data
Ilay Kamai, Alex M. Bronstein, Hagai B. Perets
Stellar astrophysics relies on diverse observational modalities-primarily photometric light curves and spectroscopic data from which fundamental stellar properties are inferred. Wh…
Too fast to be single: Tidal evolution and photometric identification of stellar and planetary companions
Ilay Kamai, Hagai B. Perets
Many stars, including those in binary or multiple systems, exhibit modified rotational evolution due to tidal interactions. While magnetic braking slows rotation in single stars, c…
Accurate and Robust Stellar Rotation Periods catalog for 82771 Kepler stars using deep learning
Ilay Kamai, Hagai B. Perets
We propose a new framework to predict stellar properties from light curves. We analyze the light-curve data from the Kepler space mission and develop a novel tool for deriving the…