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A list of CMEs and flows detected by CACTus in qkl data

ResourceID
spase://NASA/Catalog/SOHO/LASCO/CACTus/CME_flow_qkl

Description

The catalog of autonomously detected Flows (Flows are suspicious detections) in image sequences from LASCO (Large Angle Spectrometric Coronagraph). The crux of the software is the detection of CMEs as bright ridges in (time, height) maps using the Hough transform. The next step employs clustering and morphological closing operations to mark out different CMEs. The output is a list of events, similar to the classic catalogs, with starting time, principle angle, angular width and velocity estimation for each CME. In contrast to catalogs assembled by human operators, these CME detections can be done without any human interference on real-time data 24 h per day (see http://sidc.oma.be/cactus for the real-time output with data covering the last 4 days). Therefore the detection is not only more immediate, but, more importantly, also more objective. Experimental results on real-time data show that the developed technique can achieve excellent results in measuring starting time and principal angle and good results for the angular width and velocity measurement compared to the CMEs listed in the catalog. Its overall success rate is presently about 94%.

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Details

Version:2.7.0

Catalog

ResourceID
spase://NASA/Catalog/SOHO/LASCO/CACTus/CME_flow_qkl
NamingAuthority
SMWG
ResourceType
Catalog
ResourceHeader
ResourceName
A list of CMEs and flows detected by CACTus in qkl data
ReleaseDate
2025-01-01 12:00:00
Description

The catalog of autonomously detected Flows (Flows are suspicious detections) in image sequences from LASCO (Large Angle Spectrometric Coronagraph). The crux of the software is the detection of CMEs as bright ridges in (time, height) maps using the Hough transform. The next step employs clustering and morphological closing operations to mark out different CMEs. The output is a list of events, similar to the classic catalogs, with starting time, principle angle, angular width and velocity estimation for each CME. In contrast to catalogs assembled by human operators, these CME detections can be done without any human interference on real-time data 24 h per day (see http://sidc.oma.be/cactus for the real-time output with data covering the last 4 days). Therefore the detection is not only more immediate, but, more importantly, also more objective. Experimental results on real-time data show that the developed technique can achieve excellent results in measuring starting time and principal angle and good results for the angular width and velocity measurement compared to the CMEs listed in the catalog. Its overall success rate is presently about 94%.

Contacts
RolePersonStartDateStopDateNote
1.Authorspase://SMWG/Person/David.Berghmans
2.Authorspase://SMWG/Person/Eva.Robbrecht
3.MetadataContactspase://SMWG/Person/Olga.Y.Uritskaya
InformationURL
URL
Description

CACTUS autonomously detects coronal mass ejections (CMEs) in image sequences from LASCO or SECCHI. Flows are suspicious detections, their color in the detectionmap is dark blue. The output of our software is a list of events, similar to the classic catalogs, with principle angle, angular width and velocity estimation for each CME. In contrast to catalogs assembled by human operators, these CME detections by software can be faster, which is especially important in the context of space weather, and possibly also more objective, as the detection criterion is written explicitly in a program.
The CME list is automatically generated by CACTus. There is no human intervention or supervision at this stage. Therefor we ask to use caution when using the data for statistical purposes.
When any of this data is used, please cite one of the following publications:

  1. Robbrecht, E., and D. Berghmans. "Automated recognition of coronal mass ejections (CMEs) in near-real-time data." Astronomy & Astrophysics 425.3 (2004): 1097-1106.
    Astrophysical Journal 691 (2009)
  2. Robbrecht, E., D. Berghmans, and R. A. M. Van der Linden. "Automated LASCO CME catalog for solar cycle 23: are CMEs scale invariant?." The Astrophysical Journal 691.2 (2009): 1222.
AccessInformation
InstrumentIDs
PhenomenonType
CoronalMassEjection
TimeSpan
StartDate
2010-07-09 06:54:00
RelativeStopDate
2025-01-17 21:24:00
Parameter #1
Name
CME
Description

CME number

Support
SupportQuantity
Other
Parameter #2
Name
t0
Description

onset time, earliest indication of liftoff

Support
SupportQuantity
Temporal
Parameter #3
Name
dt0
Description

duration of liftoff (hours)

Support
SupportQuantity
Temporal
Parameter #4
Name
pa
Description

principal angle, counterclockwise from North (degrees)

Support
SupportQuantity
Positional
Parameter #5
Name
da
Description

angular width (degrees)

Support
SupportQuantity
Positional
Parameter #6
Name
v
Description

median velocity (km/s)

Support
SupportQuantity
Velocity
Parameter #7
Name
dv
Description

variation (1 sigma) of velocity over the width of the CME

Support
SupportQuantity
Other
Parameter #8
Name
mindv
Description

lowest velocity detected within the CME

Support
SupportQuantity
Velocity
Parameter #9
Name
maxdv
Description

highest velocity detected within the CME

Support
SupportQuantity
Velocity
Parameter #10
Name
halo?
Description

II if da>90, III if da>180, IV if da>270, indicating potential halo/partial halo CME

Support
SupportQuantity
Other