Research on the quantity and brightness evolution characteristics of Photospheric Bright Points groups
HaiCheng Bai

TL;DR
This study investigates the evolution of brightness and quantity of photospheric bright point groups in active and quiet regions using a hybrid detection model and Fourier analysis, revealing distinct activity patterns.
Contribution
It introduces a hybrid detection model combining traditional and neural network techniques to analyze BPs groups and their brightness evolution in different solar regions.
Findings
BPs activity is more intense in active regions.
Brightness and quantity show complex, non-random evolution.
Quiet regions exhibit clear periodic brightness changes.
Abstract
Context. Photospheric bright points (BPs), as the smallest magnetic element of the photosphere and the footpoint tracer of the magnetic flux tube, are of great significance to the study of BPs. Compared with the study of the characteristics and evolution of a few specific BPs, the study of BPs groups can provide us with a better understanding of the characteristics and overall activities of BPs groups. Aims. We aim to find out the evolution characteristics of the brightness and number of BPs groups at different brightness levels, and how these characteristics differ between quiet and active regions. Methods. We propose a hybrid BPs detection model (HBD Model) combining traditional technology and neural network. The Model is used to detect and calculate the BPs brightness characteristics of each frame of continuous high resolution image sequences of active and quiet regions in TiO-band…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · CCD and CMOS Imaging Sensors
