A Catalog of Prominence Eruptions Detected Automatically in the SDO/AIA 304 \r{A} Images
S. Yashiro (1, 2), N. Gopalswamy (2), S. Akiyama (1, 2), and, P.A. M\"akel\"a (1, 2) ((1) Catholic University of America, (2) NASA/GSFC)

TL;DR
This paper presents a comprehensive catalog of prominence eruptions detected automatically in SDO/AIA 304 Å images, enabling statistical analysis of their properties and relationships with solar magnetic activity.
Contribution
The authors developed an automated detection algorithm for prominence eruptions in AIA images and compiled a detailed online catalog with associated flare and CME links.
Findings
PE speed decreases with lower polar magnetic field strength
Catalog includes eruptions with width ≥15° to exclude small-scale motions
Automated detection method validated against radioheliograph data
Abstract
We report on a statistical study of prominence eruptions (PEs) using a catalog of these events routinely imaged by the Atmospheric Imaging Assembly (AIA) on board the Solar Dynamics Observatory (SDO) in the 304 \r{A} pass band. Using an algorithm developed as part of an LWS project, we have detected PEs in 304 \r{A} synoptic images with 2-min cadence since May 2010. A catalog of these PEs is made available online (https://cdaw.gsfc.nasa.gov/CME_list/autope/). The 304 \r{A} images are polar-transformed and divided by a background map (pixels with minimum intensity during one day) to get the ratio maps above the limb. The prominence regions are defined as pixels with a ratio 2. Two prominence regions with more than 50% of pixels overlapping are considered the same prominence. If the height of a prominence increases monotonically in 5 successive images, it is considered eruptive. All…
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