Statistics of Photospheric Supergranular Cells Observed by SDO/HMI
Majedeh Noori, Mohsen Javaherian, Hossein Safari, Hamid Nadjari

TL;DR
This study analyzes the statistical properties of photospheric supergranular cells observed by SDO/HMI, revealing their size, shape, orientation distributions, and fractal nature, contributing to understanding solar surface convection patterns.
Contribution
The paper introduces a comprehensive statistical analysis of supergranular cells using high-resolution SDO/HMI data, including size, shape, orientation, and fractal properties, with novel insights into their self-similar patterns.
Findings
Cell sizes and eccentricities follow log-normal distributions.
Average cell count is about 60 within a specified area.
Cell orientation exhibits power-law behavior and alignment patterns.
Abstract
Aims: The statistics of the photospheric granulation pattern are investigated using continuum images observed by Solar Dynamic Observatory (SDO)/Helioseismic and Magnetic Imager (HMI) taken at 6713~\AA. Methods: The supergranular boundaries can be extracted by tracking photospheric velocity plasma flows. The local ball-tracking method is employed to apply on the HMI data gathered over the years 2011-2015 to estimate the boundaries of the cells. The edge sharpening techniques are exerted on the output of ball-tracking to precisely identify the cells borders. To study the fractal dimensionality (FD) of supergranulation, the box counting method is used. Results: We found that both the size and eccentricity follow the log-normal distributions with peak values about 330 Mm and 0.85, respectively. The five-year mean value of the cells number appeared in half-hour sequences is obtained…
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