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STEREO SECCHI Cor2 Automated CME Catalog

(2022). STEREO SECCHI Cor2 Automated CME Catalog [Data set]. SECCHI, Naval Research Laboratory. https://doi.org/10.48322/s0nk-w757. Accessed on .

Note: Proper references, including those in BibTex or other formats, should include the "Accessed on date" as shown above to identify the version of the resource being cited in a given publication.

ResourceID
spase://NASA/Catalog/STEREO/SECCHI/Cor2/CACTus

Description

Computer Aided CME Tracking, CACTus, autonomously detects coronal mass ejections, CMEs, in image sequences from LASCO or SECCHI. 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. However, the algorithm is not perfect so there are sometimes false detections.

This CME list is automatically generated. There is no human intervention or supervision at this time. Therefore we ask you to use caution when using the data for statistical purposes.

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Details

Version:2.6.0

Catalog

ResourceID
spase://NASA/Catalog/STEREO/SECCHI/Cor2/CACTus
ResourceHeader
ResourceName
STEREO SECCHI Cor2 Automated CME Catalog
DOI
https://doi.org/10.48322/s0nk-w757
ReleaseDate
2023-09-27 12:34:56.789Z
RevisionHistory
RevisionEvent
ReleaseDate
2022-02-24 12:34:56.789
Note
STEREO SECCHI: Initial SPASE XML resource description submission. Metadata submitted by A. Vourlidas on 2022-02-19, reviewed by LFB
RevisionEvent
ReleaseDate
2023-05-11 12:34:56.789
Note
Updated to SPASE Version 2.5.0 if needed, Added DOI information, JMW
RevisionEvent
ReleaseDate
2023-09-27 12:34:56.789
Note
Updated Authors. JMW
Description

Computer Aided CME Tracking, CACTus, autonomously detects coronal mass ejections, CMEs, in image sequences from LASCO or SECCHI. 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. However, the algorithm is not perfect so there are sometimes false detections.

This CME list is automatically generated. There is no human intervention or supervision at this time. Therefore we ask you to use caution when using the data for statistical purposes.

Acknowledgement
Please note that all of the SECCHI data is free for public use, but if you use them in presentations, published work, websites, etc, please give the appropriate image credits ("STEREO/SECCHI" will usually suffice).
PublicationInfo
Authors
E. Robbrecht, S. Patsourakos, and A. A. Vourlidas
PublicationDate
2022-01-01 00:00:00
PublishedBy
SECCHI, Naval Research Laboratory
Funding
Agency
NASA
Project
STEREO
Contacts
RolePersonStartDateStopDateNote
1.PrincipalInvestigatorspase://SMWG/Person/Brian.Wood2020-01-01T00:00:00
2.MetadataContact
ProjectScientist
spase://SMWG/Person/Angelos.Vourlidas2007-01-01T00:00:00
3.GeneralContactspase://SMWG/Person/William.T.Thompson
4.TechnicalContactspase://SMWG/Person/Lynn.Hutting2008-02-01T00:00:00
5.MetadataContactspase://SMWG/Person/Lee.Frost.Bargatze
InformationURL
Name
CACTus Algorithm Description
URL
Description

The paper describes the algorithm and its application on the SOHO LASCO C2 and C3 images but the process is essential identical for the STEREO Cor2 coronograph images. Robbrecht, E., D. Berghmans, and R.A.M. Van der Linden, Automated LASCO CME Catalog for Solar Cycle 23: Are CMEs Scale Invariant?, Astrophys. J., 691(2), 1222-1234, 2009.

Language
en
AccessInformation
RepositoryID
Availability
Online
AccessRights
Open
AccessURL
Name
NRL SECCHI Site
URL
Language
en
Format
IDL
Format
HTML
Acknowledgement
When any of this data is used, please cite one of the following publications: * Robbrecht E., and D. Berghmans, Automated recognition of coronal mass ejections (CMEs) in near-real-time data, Astron. Astrophys., 425(3), 1097-1106, 2004 (https://www.aanda.org/10.1051/0004-6361:20041302) * Stenborg, G., Vourlidas, A., and R.A. Howard, A Fresh View of the Extreme-Ultraviolet Corona from the Application of a New Image-Processing Technique, Astrophys. J., 674(2), 1201, 2008 (https://iopscience.iop.org/article/10.1086/525556)
InstrumentIDs
PhenomenonType
CoronalMassEjection