ERUPTING FILAMENTS WITH LARGE ENCLOSING FLUX TUBES AS SOURCES OF HIGH-MASS THREE-PART CMEs, AND ERUPTING FILAMENTS IN THE ABSENCE OF ENCLOSING FLUX TUBES AS SOURCES OF LOW-MASS UNSTRUCTURED CMEs

Hutton, Joe; Morgan, Huw

doi:10.1088/0004-637x/813/1/35

Cited by 12 publications

(16 citation statements)

References 52 publications

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“…of Figure 5). Although this event was faint, the CME had a clear flux-tube appearance in LASCO C2, commonly associated with the eruption of a filament/cavity system (i.e., a large flux tube; Hutton & Morgan 2015). In EUV images, the source of the CME was a filament-cavity system that was slowly rising, forming the distinct flux-tube appearance of the CME in LASCO C2.…”

Section: Data Analysis and Resultsmentioning

confidence: 96%

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

Alzate

Morgan

2017

ApJ

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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.

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Section: Data Analysis and Resultsmentioning

confidence: 96%

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

Alzate

Morgan

2017

ApJ

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“…They could originate as FR-CMEs,but their low corona evolution or the structure (or density) of the overlying arcades may disrupt or hide the flux rope. Hutton & Morgan (2015) used similar arguments to explain a similar percentage (30%) of CMEs associated with filaments eruptions but lacking clear three-part structure. They may contain multiple flux ropes resulting in a complex projection masking their flux-rope morphology.…”

Section: Cme Morphology From Different Viewpointsmentioning

confidence: 92%

Multi-viewpoint Coronal Mass Ejection Catalog Based on STEREO COR2 Observations

Vourlidas

Balmaceda

Stenborg

et al. 2017

ApJ

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We present the first multi-viewpoint coronal mass ejection (CME) catalog. The events are identified visually in simultaneous total brightness observations from the twin SECCHI/COR2 coronagraphs onboard the Solar Terrestrial Relations Observatory mission. The Multi-View CME Catalog differs from past catalogs in three key aspects: (1) all events between the two viewpoints are cross-linked, (2) each event is assigned a physics-motivated morphological classification (e.g., jet, wave, andflux rope), and (3) kinematic and geometric information is extracted semi-automatically via a supervised image segmentation algorithm. The database extends from the beginning of the COR2 synoptic program (2007 March) to the end of dual-viewpoint observations (2014 September). It contains 4473 unique events with 3358 events identified in both COR2s. Kinematic properties exist currently for 1747 events (26% of COR2-A events and 17% of COR2-B events). We examine several issues, made possible by this cross-linked CME database, including the role of projection on the perceived morphology of events, the missing CME rate, the existence of cool material in CMEs, the solar cycle dependence on CME rate, speeds and width, and the existence of flux rope within CMEs. We discuss the implications for past singleviewpoint studies and for Space Weather research. The database is publicly available on the web including all available measurements. We hope that it will become a useful resource for the community.

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“…These points are then treated as individual scattered electrons ( Figure 3a). For a fuller description of the model see Hutton & Morgan [2015]. The wire-frame CME shown in figure 3 has been rendered as if observed by SOHO/LASCO C2, with the sizes and locations of the Sun and coronagraph occulter represented by the inner and outer circles respectively.…”

Section: Synthetic Flux-rope Cmementioning

confidence: 99%

“…However, some of the parameters governing the model shape and orientation must be changed manually to best fit the twin observations simultaneously, which can often be a tedious process. The model is limited to the subset of large, well structured CMEs, and cannot be suitable for other CME structures [Hutton & Morgan, 2015].…”

Section: Introductionmentioning

confidence: 99%

Automated detection of coronal mass ejections in three-dimensions using multi-viewpoint observations

Hutton

Morgan

2017

A&A

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A new, automated method of detecting coronal mass ejections (CMEs) in three dimensions for the LASCO C2 and STEREO COR2 coronagraphs is presented. By triangulating isolated CME signal from the three coronagraphs over a sliding window of five hours, the most likely region through which CMEs pass at 5R is identified. The centre and size of the region gives the most likely direction of propagation and approximate angular extent. The Automated CME Triangulation (ACT) method is tested extensively using a series of synthetic CME images created using a wireframe flux rope density model, and on a sample of real coronagraph data; including halo CMEs. The accuracy of the angular difference (σ) between the detection and true input of the synthetic CMEs is σ=7.14 • , and remains acceptable for a broad range of CME positions relative to the observer, the relative separation of the three observers and even through the loss of one coronagraph. For real data, the method gives results that compare well with the distribution of low coronal sources and results from another instrument and technique made further from the Sun. The true three dimension (3D)-corrected kinematics and mass/density are discussed. The results of the new method will be incorporated into the CORIMP database in the near future, enabling improved space weather diagnostics and forecasting.

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ERUPTING FILAMENTS WITH LARGE ENCLOSING FLUX TUBES AS SOURCES OF HIGH-MASS THREE-PART CMEs, AND ERUPTING FILAMENTS IN THE ABSENCE OF ENCLOSING FLUX TUBES AS SOURCES OF LOW-MASS UNSTRUCTURED CMEs

Cited by 12 publications

References 52 publications

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

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

Multi-viewpoint Coronal Mass Ejection Catalog Based on STEREO COR2 Observations

Automated detection of coronal mass ejections in three-dimensions using multi-viewpoint observations

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