Statistical Analysis of Filament Features Based on the H{\alpha} Solar Images from 1988 to 2013 by Computer Automated Detection Method
Q. Hao, C. Fang, W. Cao, P. F. Chen

TL;DR
This study enhances an automated detection method for solar filaments in H-alpha images, analyzing their features, distribution, and asymmetries over three solar cycles from 1988 to 2013.
Contribution
The paper introduces an improved automated detection technique and provides a comprehensive statistical analysis of filament features over multiple solar cycles.
Findings
Filament features vary with time and latitude.
Latitudinal distribution of filaments is bimodal.
North-south asymmetries change between solar cycles.
Abstract
We improve our filament automated detection method which was proposed in our previous works. It is then applied to process the full disk H data mainly obtained by Big Bear Solar Observatory (BBSO) from 1988 to 2013, spanning nearly 3 solar cycles. The butterfly diagrams of the filaments, showing the information of the filament area, spine length, tilt angle, and the barb number, are obtained. The variations of these features with the calendar year and the latitude band are analyzed. The drift velocities of the filaments in different latitude bands are calculated and studied. We also investigate the north-south (N-S) asymmetries of the filament numbers in total and in each subclass classified according to the filament area, spine length, and tilt angle. The latitudinal distribution of the filament number is found to be bimodal. About 80% of all the filaments have tilt angles…
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