SoFAST: Automated Flare Detection with the PROBA2/SWAP EUV Imager

被引：12

作者：

Bonte, K. ^{[1
]}

Berghmans, D. ^{[2
]}

De Groof, A. ^{[3
]}

Steed, K. ^{[1
]}

Poedts, S. ^{[1
]}

机构：

[1] Katholieke Univ Leuven, Dept Math, Ctr Math Plasma Astrophys, B-3001 Louvain, Belgium

[2] Royal Observ Belgium, B-1180 Brussels, Belgium

[3] Royal Observ Belgium, European Space Agcy, B-1180 Brussels, Belgium

来源：

SOLAR PHYSICS | 2013年 / 286卷 / 01期

关键词：

Sun: observations; Sun: flares; Sun: instrumentation and data management; Sun: EUV; Sun: corona; Techniques: image processing; PROBA2; SWAP; RAY TELESCOPE XRT; SOLAR; MISSION;

D O I：

10.1007/s11207-012-0165-8

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

The Sun Watcher with Active Pixels and Image Processing (SWAP) EUV imager onboard PROBA2 provides a non-stop stream of coronal extreme-ultraviolet (EUV) images at a cadence of typically 130 seconds. These images show the solar drivers of space-weather, such as flares and erupting filaments. We have developed a software tool that automatically processes the images and localises and identifies flares. On one hand, the output of this software tool is intended as a service to the Space Weather Segment of ESA's Space Situational Awareness (SSA) program. On the other hand, we consider the PROBA2/SWAP images as a model for the data from the Extreme Ultraviolet Imager (EUI) instrument prepared for the future Solar Orbiter mission, where onboard intelligence is required for prioritising data within the challenging telemetry quota. In this article we present the concept of the software, the first statistics on its effectiveness and the online display in real time of its results. Our results indicate that it is not only possible to detect EUV flares automatically in an acquired dataset, but that quantifying a range of EUV dynamics is also possible. The method is based on thresholding of macropixelled image sequences. The robustness and simplicity of the algorithm is a clear advantage for future onboard use.

引用

页码：185 / 199

页数：15

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