Evidence of radius inflation in stars approaching the slow-rotator sequence
Alessandro C. Lanzafame, Federico Spada, Elisa Distefano

TL;DR
This study introduces a new statistical method to estimate average stellar radii accounting for censored and truncated data, revealing potential radius inflation in stars approaching the slow-rotator sequence.
Contribution
A novel maximum likelihood estimation method for stellar radii that handles censored data, applied to the Pleiades, uncovering evidence of radius inflation near the slow-rotator sequence.
Findings
Good agreement with stellar models for certain mass ranges.
Evidence of radius inflation near the slow-rotator sequence.
Fast rotators align well with models without systematic bias.
Abstract
Average stellar radii in open clusters can be estimated from rotation periods and projected rotational velocities under the assumption of random orientation of the spin axis. Such estimates are independent of distance, interstellar absorption, and models, but their validity can be limited by missing data (truncation) or data that only represent upper/lower limits (censoring). We present a new statistical analysis method to estimate average stellar radii in the presence of censoring and truncation. We use theoretical distribution functions of the projected stellar radius to define a likelihood function in the presence of censoring and truncation. Average stellar radii in magnitude bins are then obtained by a maximum likelihood parametric estimation procedure. This method is capable of recovering the average stellar radius within a few percent with as few as 10…
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