Forward Modeling of the Kepler Stellar Rotation Period Distribution: Interpreting Periods from Mixed and Biased Stellar Populations
Jennifer L. van Saders, Marc H. Pinsonneault, Mauro Barbieri

TL;DR
This paper uses forward modeling combining stellar rotation theories, galactic population models, and observational biases to interpret Kepler's stellar rotation period data, revealing a potential transition in magnetic braking related to Rossby number.
Contribution
It introduces a comprehensive forward-modeling approach to interpret Kepler stellar rotation data, highlighting the impact of observational biases and stellar evolution on period distributions.
Findings
Standard braking models do not match observed long-period distributions.
An apparent Rossby edge at Ro=2.08 suggests a transition in magnetic braking.
The observed distribution indicates a possible change in stellar activity at this Rossby number.
Abstract
Stellar surface rotation carries information about stellar parameters---particularly ages---and thus the large rotational datasets extracted from Kepler timeseries represent powerful probes of stellar populations. In this article, we address the challenge of interpreting such datasets with a forward-modeling exercise. We combine theoretical models of stellar rotation, a stellar population model for the galaxy, and prescriptions for observational bias and confusion to predict the rotation distribution in the Kepler field under standard "vanilla" assumptions. We arrive at two central conclusions: first, that standard braking models fail to reproduce the observed distribution at long periods, and second, that the interpretation of the period distribution is complicated by mixtures of unevolved and evolved stars and observational uncertainties. By assuming that the amplitude and thus…
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