Long-period oscillations of active region patterns: least-squares mapping on second-order curves
G. Dumbadze, B.M. Shergelashvili, V. Kukhianidze, G. Ramishvili, T.V., Zaqarashvili, M. Khodachenko, E. Gurgenashvili, S. Poedts, P. De Causmaecker

TL;DR
This study investigates the oscillatory behavior of active regions on the Sun using novel pattern recognition methods, revealing second harmonic kink oscillations that can inform magneto-seismological models of solar magnetic flux tubes.
Contribution
It introduces a new automated border detection method for active regions and applies it to analyze their oscillations, linking observed dynamics to magnetic flux tube properties.
Findings
Detected second harmonic kink oscillations in active regions.
Estimated phase speed distribution along magnetic flux tubes.
Found the oscillation properties consistent with helioseismic estimations.
Abstract
Active regions (ARs) are the main sources of variety in solar dynamic events. Automated detection and identification tools need to be developed for solar features for a deeper understanding of the solar cycle. Of particular interest here are the dynamical properties of the ARs, regardless of their internal structure and sunspot distribution. We studied the oscillatory dynamics of two ARs: NOAA 11327 and NOAA 11726 using two different methods of pattern recognition. We developed a novel method of automated AR border detection and compared it to an existing method for the proof-of-concept. The first method uses least-squares fitting on the smallest ellipse enclosing the AR, while the second method applies regression on the convex hull.} After processing the data, we found that the axes and the inclination angle of the ellipse and the convex hull oscillate in time. These oscillations are…
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