Categorization model of moving small-scale intensity enhancements in solar active regions
B.M. Shergelashvili, E. Philishvili, S. Buitendag, S. Poedts, M., Khodachenko

TL;DR
This study analyzes small-scale moving intensity enhancements in solar active regions using EUV imaging from SDO/AIA and Hi-C 2.1, identifying distinct groups of these features with characteristic velocities near the coronal sound speed.
Contribution
It introduces a Gaussian mixture model to classify and analyze different groups of active region moving campfires (ARMCs) based on their physical characteristics.
Findings
Multiple ARMC groups identified with distinct intensity and velocity profiles.
ARMC velocities are near the coronal sound speed, differing from Alfvénic jets.
Cross-validation confirms the existence of these groups across datasets.
Abstract
The small-scale moving intensity enhancements remotely observed in the extreme ultraviolet images of the solar active regions, which we refer to as active region moving campfires (ARMCs), are related to local plasma temperature and/or density enhancements. Their dynamics is driven by the physical processes in the entire coronal plasma. Our previous study of ARMCs indicates that they have characteristic velocities at around the background sound speed. The main goal of our work is to carry out a simultaneous analysis of EUV images from two observational missions, SDO/AIA and Hi-C 2.1. The aims of the performed cross-validating analysis of both SDO/AIA and Hi-C 2.1 data were to reveal how the observed moving features are distributed over the studied active region, AR12712, test the existence of different groups of ARMCs with distinct physical characteristics. We use the statistical model…
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