Solar rotation and activity for cycle 24 from SDO/AIA observations
Zahra Shokri, Nasibe Alipour, and Hossein Safari

TL;DR
This study uses a machine learning approach to analyze coronal bright points observed by SDO/AIA during solar cycle 24, revealing details about solar rotation, hemispheric asymmetry, and their relation to solar activity levels.
Contribution
The paper introduces a modified machine learning algorithm to track coronal bright points and analyze solar rotation and activity correlations during cycle 24.
Findings
Northern hemisphere exhibits more differential rotation than the southern hemisphere.
Negative horizontal Reynolds stress correlates with high solar activity.
Rotation parameters show slight positive and negative trends with solar activity.
Abstract
The differential rotation plays a crucial role in the dynamics of the Sun. We study the solar rotation and its correlation with solar activity by applying a modified machine learning algorithm to identify and track coronal bright points (CBPs) from the Solar Dynamics Observatory/Atmospheric Imaging Assembly observations at 193 \AA\ during cycle 24. For more than 321,440 CBPs, the sidereal and meridional velocities are computed. We find the occurring height of CBPs about 5627 km above the photosphere. We obtain a rotational map for the corona by tracking CBPs at the formation height of Fe\,{\sc xii} (193 \AA) emissions. The equator rotation (14.40 to 14.54 day) and latitudinal gradient of rotation (3.0 to 2.64 day) show very slightly positive and negative trends with solar activity (sunspots and flares), respectively. For…
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Taxonomy
TopicsSolar and Space Plasma Dynamics
