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Title: Automated detection of CMEs in STEREO/COR-1 and its application to ADITYA-L1/VELC while studying the detector characterization
Authors: Ritesh Patel
Issue Date: Jul-2017
Publisher: Indian Institute of Astrophysics
Citation: M. Tech. Thesis, University of Calcutta, Calcutta
Abstract: Coronal mass ejections (CMEs) play an important role in driving the space weather. Visible Emission Line Coronagraph (VELC) on board ADITYA-L1 is a white light coronagraph proposed for monitoring the space weather. Therefore, automated detection of CMEs becomes necessary to monitor the space weather. For this purpose, an on-board automated CME detection algorithm is designed which is planned to be implemented in VELC. The automated detection logic had been written for this purpose and successfully tested on the data of LASCO C2 (2 Rʘ to 6 Rʘ) and STEREO COR-1 (1.2 Rʘ to 4 Rʘ). However, VELC's field of view (FoV) extends from 1.05 Rʘ to 3 Rʘ. No space based coronagraph has an onboard automated detection algorithm to monitor CMEs at such lower heights. The field of view nearest to that of VELC is of COR-1. So, data from this instrument is analysed as a good study of challenges to be faced while observing closer to limb of the Sun. We have created synthetic images of background corona and CMEs for ADITYA-L1 field of view (FoV) based on existing space based coronagraph data and choosing suitable model for the purpose. Once the background corona is prepared, CMEs of different types and orientation are launched to get simulated CME images. These images serve as sample data for VELC/ADITYA-L1. It will not only test the automated CME detection technique but it will also be useful to calibrate the VELC. The synthetic coronal and CME images can also help in optimising the free parameters for automated detection and hence decide the exposure time and cadence for ADITYA-L1 VELC.
Description: Thesis Supervisor Prof. Dipankar Banerjee
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Appears in Collections:Integrated M.Tech-Ph.D (Tech.)

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