Analysing the active longitudes of the young solar analogue HD 116956 using Bayesian statistics
J. Lehtinen, L. Jetsu, M. J. Mantere

TL;DR
This paper introduces a Bayesian statistical method using Markov chain Monte Carlo to analyze active longitudes on the young star HD 116956, revealing a lagging spot-generating mechanism compared to the star's rotation.
Contribution
A novel Bayesian approach for determining active longitude parameters and their errors, providing insights into stellar dynamo behavior beyond previous methods.
Findings
Confirmed two stable active longitudes with phase difference of 0.5
Derived active longitude rotation period P_al = 7.8412 days
Found the active longitude system lags behind the star's mean rotation P_rot = 7.817 days
Abstract
Aims: In this study, we aim at investigating the properties of the active longitude system of the young solar analogue HD 116956 in detail, especially concentrating on determining the rotation period of the spot-generating mechanism with respect to the photometric rotation period of the star itself. Because the nonparametric approach, like the Kuiper method, can only give the period of active longitudes, we formulate a new method that can determine the parameters the active longitude distribution uniquely. Methods: For this purpose, we have developed an analysis method, based on Bayesian statistics using Markov chain Monte Carlo, presented in this manuscript. One of the advantages of this method is that an estimate of the active longitude system rotation period, as well as the parameters of the shape and location of the active longitudes together with their respective error estimates.…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Geophysics and Gravity Measurements · Scientific Research and Discoveries
