Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/6910
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dc.contributor.authorRitesh Patel-
dc.contributor.authorAmareswari, K-
dc.contributor.authorPant, V-
dc.contributor.authorBanerjee, D-
dc.contributor.authorSankarasubramanian, K-
dc.date.accessioned2020-11-11T07:39:59Z-
dc.date.available2020-11-11T07:39:59Z-
dc.date.issued2018-02-
dc.identifier.citationProceedings of the International Astronomical Union, Vol. 340, pp. 171-172en_US
dc.identifier.isbn978-1-108-47109-1-
dc.identifier.issn1743-9213-
dc.identifier.urihttp://prints.iiap.res.in/handle/2248/6910-
dc.descriptionRestricted Access © International Astronomical Union https://doi.org/10.1017/S174392131800193Xen_US
dc.description.abstractAn onboard automated coronal mass ejections (CMEs) detection algorithm has been developed for Visible Emission Line Coronagraph (VELC) onboard ADITYA-L1. The aim of this algorithm is to reduce the load on telemetry by sending the high spatial (∼ 2.51 arcsec pixel−1 ) and temporal (1 s) resolution images of corona from 1.05 R to 3 R, containing CMEs and rejecting others. It is based on intensity thresholding followed by an area thresholding in successive running difference images which are re-binned to lower resolution to improve signal to noise. Here we present the results of application of the algorithm on synthetic corona images generated for the VELC field of view (FOV).en_US
dc.language.isoenen_US
dc.publisherCambridge University Pressen_US
dc.subjectSunen_US
dc.subjectCoronaen_US
dc.subjectCoronal Mass Ejectionsen_US
dc.subjectData managementen_US
dc.titleAutomated detection of coronal mass ejections in visible emission line coronagraph (VELC) on-board ADITYA-L1en_US
dc.typeArticleen_US
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