Case study on the identification and classification of small-scale flow patterns in flaring active region

We propose a novel methodology to identity flows in the solar atmosphere and classify their velocities as either supersonic, subsonic, or sonic. The proposed consists of three parts. First, an algorithm is applied Solar Dynamics Observatory (SDO) image data locate track flows, resulting trajectory each flow over time. Thereafter, differential emission measure inversion method six AIA channels along order estimate its background temperature sound speed. Finally, we sonic by performing simultaneous hypothesis tests on whether velocity bounds are larger, smaller, equal was SDO from 171 {\AA} spectral line for date 6 March 2012 12:22:00 12:35:00 again 9 03:00:00 03:24:00. Eighteen plasma were detected, 11 which classified 3 at $70\%$ level significance. Out all these cases, 2 cannot be strictly ascribed one respective categories they change subsonic state supersonic vice versa. labelled them subclass transonic flows. provides automatic scalable solution identify small-scale identified patterns flaring loops. results show that can into four classes: sub-, super-, trans-sonic, detected images analyzed combination with other high-resolution observational data, such Hi-C 2.1 used development theories formation patterns.