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

Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/6910

Title:	Automated detection of coronal mass ejections in visible emission line coronagraph (VELC) on-board ADITYA-L1
Authors:	Ritesh Patel Amareswari, K Pant, V Banerjee, D Sankarasubramanian, K
Keywords:	Sun Corona Coronal Mass Ejections Data management
Issue Date:	Feb-2018
Publisher:	Cambridge University Press
Citation:	Proceedings of the International Astronomical Union, Vol. 340, pp. 171-172
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).
Description:	Restricted Access © International Astronomical Union https://doi.org/10.1017/S174392131800193X
URI:	http://prints.iiap.res.in/handle/2248/6910
ISBN:	978-1-108-47109-1
ISSN:	1743-9213
Appears in Collections:	IIAP Publications

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