A fast and reliable method to measure stellar differential rotation from photometric data
Timo Reinhold, Ansgar Reiners

TL;DR
This paper introduces a fast, reliable photometric method to detect and measure stellar differential rotation, validated through simulations and application to Kepler data, enhancing understanding of stellar dynamics.
Contribution
Developed a Monte Carlo simulation-based method to detect stellar differential rotation from photometric data, demonstrating high accuracy and applicability to large datasets.
Findings
Detected differential rotation in 96.2% of simulated light curves
Measured latitudinal shear is on average 3.2% lower than true value
Applied method to Kepler stars with results matching detailed models
Abstract
Co-rotating spots at different latitudes on the stellar surface generate periodic photometric variability and can be useful proxies to detect Differential Rotation (DR). DR is a major ingredient of the solar dynamo but observations of stellar DR are rather sparse. In view of the Kepler space telescope we are interested in the detection of DR using photometric information of the star, and to develop a fast method to determine stellar DR from photometric data. We ran a large Monte-Carlo simulation of differentially rotating spotted stars with very different properties to investigate the detectability of DR. For different noise levels the resulting light curves are prewhitened using Lomb-Scargle periodograms to derive parameters for a global sine fit to detect periodicities. We show under what conditions DR can successfully be detected from photometric data, and in which cases the light…
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