Automated detection of coronal mass ejections in visible emission line coronagraph (VELC) on-board ADITYA-L1

Ritesh Patel; Amareswari, K; Pant, V; Banerjee, D; Sankarasubramanian, K

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dc.contributor.author	Ritesh Patel
dc.contributor.author	Amareswari, K
dc.contributor.author	Pant, V
dc.contributor.author	Banerjee, D
dc.contributor.author	Sankarasubramanian, K
dc.date.accessioned	2020-11-11T07:39:59Z
dc.date.available	2020-11-11T07:39:59Z
dc.date.issued	2018-02
dc.identifier.citation	Proceedings of the International Astronomical Union, Vol. 340, pp. 171-172	en_US
dc.identifier.isbn	978-1-108-47109-1
dc.identifier.issn	1743-9213
dc.identifier.uri	http://prints.iiap.res.in/handle/2248/6910
dc.description	Restricted Access © International Astronomical Union https://doi.org/10.1017/S174392131800193X	en_US
dc.description.abstract	An 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.iso	en	en_US
dc.publisher	Cambridge University Press	en_US
dc.subject	Sun	en_US
dc.subject	Corona	en_US
dc.subject	Coronal Mass Ejections	en_US
dc.subject	Data management	en_US
dc.title	Automated detection of coronal mass ejections in visible emission line coronagraph (VELC) on-board ADITYA-L1	en_US
dc.type	Article	en_US