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

Bonte, K.; Berghmans, D.; Groof, A. De; Steed, K.; Poedts, Stefaan

doi:10.1007/s11207-012-0165-8

Cited by 15 publications

(12 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Intensity changes in macropixels were also exploited for the detection of flares in EUV images (Grigis et al 2010;Bonte et al 2013).…”

Section: Flaresmentioning

confidence: 99%

Solar Demon – an approach to detecting flares, dimmings, and EUV waves on SDO/AIA images

Kraaikamp

2015

J. Space Weather Space Clim.

View full text Add to dashboard Cite

Flares, dimmings, and extreme ultraviolet (EUV) waves are three types of eruptive phenomena on the Sun, which are main drivers of space weather. Fast and reliable detection of these phenomena helps augment space weather predictions. In the current paper, we introduce Solar Demon, the first software that detects all three phenomena, using a modular design to exploit synergies. While Solar Demon runs in near real-time on SDO/AIA synoptic quick-look images to provide fast detections of flares, dimmings, and EUV waves for space weather purposes, it also processes new Atmospheric Imaging Assembly (AIA) synoptic science images on a regular basis to build dedicated science quality catalogs. An overview of Solar Demon is given, with a focus on the algorithms for EUV wave detection and characterization. Several first results, such as flare and dimming butterfly diagrams for the rising part of Solar Cycle 24, are presented. The main advantages, challenges, and future prospects for Solar Demon are outlined in the Section 5.

show abstract

“…Intensity changes in macropixels were also exploited for the detection of flares in EUV images (Grigis et al 2010;Bonte et al 2013).…”

Section: Flaresmentioning

confidence: 99%

Solar Demon – an approach to detecting flares, dimmings, and EUV waves on SDO/AIA images

Kraaikamp

2015

J. Space Weather Space Clim.

View full text Add to dashboard Cite

show abstract

“…A total of 809 back-sided CMEs were identified. The next step in their search for stealth CMEs was to compare the CACTus LASCO list to the output of the Solar Flare Automated Search Tool (Bonte et al 2013), which is based on observations from the Sun Watcher using Active Pixel System detector and Image Processing (SWAP) instrument onboard Projects for Onboard Autonomy (PROBA2, Halain et al 2013;Seaton et al 2013), in order to eliminate events associated with EUV variability. They found 322 such events.…”

Section: Introductionmentioning

confidence: 99%

Identification of Low Coronal Sources of “Stealth” Coronal Mass Ejections Using New Image Processing Techniques

Alzate

Morgan

2017

ApJ

View full text Add to dashboard Cite

Coronal mass ejections (CMEs) are generally associated with low coronal signatures (LCSs), such as flares, filament eruptions, extreme ultraviolet (EUV) waves, or jets. A number of recent studies have reported the existence of stealth CMEs as events without LCSs, possibly due to observational limitations. Our study focuses on a set of 40 stealth CMEs identified from a study by D'Huys et al. New image processing techniques are applied to high-cadence, multi-instrument sets of images spanning the onset and propagation time of each of these CMEs to search for possible LCSs. Twenty-three of these events are identified as small, low-mass, unstructured blobs or puffs, often occurring in the aftermath of a large CME, but associated with LCSs such as small flares, jets, or filament eruptions. Of the larger CMEs, seven are associated with jets and eightwith filament eruptions. Several of these filament eruptions are different from the standard model of an erupting filament/flux tube in that they are eruptions of large, faint flux tubes that seem to exist at large heights for a long time prior to their slow eruption. For two of these events,we see an eruption in Large Angle Spectrometric Coronagraph C2 images and the consequent changes at the bottom edge of the eruption in EUV images. All 40 events in our study are associated with some form of LCS. We conclude that stealth CMEs arise from observational and processing limitations.

show abstract

“…It will broadcast, both for EUI/FSI 304 and EUI/FSI 174 , whether an event has been detected, the time and location (with respect to the instrument boresight) of the detection, and a rough estimate of the brightness of the event. The detection algorithm is based on the SoFast activity detector (http://sidc.be/sofast, Bonte et al 2013). It uses thresholds on macropixels and a set of rules to minimise the number of false detections.…”

Section: The Detection Algorithm Of the Extreme Ultravioletmentioning

confidence: 99%

Coordination within the remote sensing payload on the Solar Orbiter mission

Auchère

Andretta

Antonucci

et al. 2020

A&A

Self Cite

View full text Add to dashboard Cite

Context. To meet the scientific objectives of the mission, the Solar Orbiter spacecraft carries a suite of in-situ (IS) and remote sensing (RS) instruments designed for joint operations with inter-instrument communication capabilities. Indeed, previous missions have shown that the Sun (imaged by the RS instruments) and the heliosphere (mainly sampled by the IS instruments) should be considered as an integrated system rather than separate entities. Many of the advances expected from Solar Orbiter rely on this synergistic approach between IS and RS measurements. Aims. Many aspects of hardware development, integration, testing, and operations are common to two or more RS instruments. In this paper, we describe the coordination effort initiated from the early mission phases by the Remote Sensing Working Group. We review the scientific goals and challenges, and give an overview of the technical solutions devised to successfully operate these instruments together. Methods. A major constraint for the RS instruments is the limited telemetry (TM) bandwidth of the Solar Orbiter deep-space mission compared to missions in Earth orbit. Hence, many of the strategies developed to maximise the scientific return from these instruments revolve around the optimisation of TM usage, relying for example on onboard autonomy for data processing, compression, and selection for downlink. The planning process itself has been optimised to alleviate the dynamic nature of the targets, and an inter-instrument communication scheme has been implemented which can be used to autonomously alter the observing modes. We also outline the plans for in-flight cross-calibration, which will be essential to the joint data reduction and analysis. Results. The RS instrument package on Solar Orbiter will carry out comprehensive measurements from the solar interior to the inner heliosphere. Thanks to the close coordination between the instrument teams and the European Space Agency, several challenges specific to the RS suite were identified and addressed in a timely manner.

show abstract

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

Cited by 15 publications

References 14 publications

Solar Demon – an approach to detecting flares, dimmings, and EUV waves on SDO/AIA images

Solar Demon – an approach to detecting flares, dimmings, and EUV waves on SDO/AIA images

Identification of Low Coronal Sources of “Stealth” Coronal Mass Ejections Using New Image Processing Techniques

Coordination within the remote sensing payload on the Solar Orbiter mission

Contact Info

Product

Resources

About