Abstract Details

Name: Ritesh Patel
Affiliation: Indian Institute of Astrophysics
Conference ID: ASI2020_348
Title : CMEs Identification in Inner Solar Corona (CIISCO)
Authors and Co-Authors : Ritesh Patel, Vaibhav Pant, Priyanka Iyer, Dipankar Banerjee, Marilena Mierla, Matthew J West
Abstract Type : Oral
Abstract Category : Sun and the Solar System
Abstract : Solar eruptions such as Coronal Mass Ejections (CMEs) in the inner solar corona (up to 4 Rsun) show acceleration profiles which appear as parabolic ridges in height-time plots. Inspired by the white-light automated CME detection algorithms, Computer Aided CME Tracking System (CACTus) and Solar Eruptive Events Detection System (SEEDS), we employ the Parabolic Hough Transform for the first time to automatically detect these off-disk solar eruptions apparent acceleration profiles in the inner corona, a region where knowledge of a CMEs kinematics is vitally important for determining CME arrival times throughout the heliosphere. Due to the limited availability of white-light observations in the inner corona, we used Extreme UltraViolet (EUV) images of the Sun where off-disk eruptions are visible. In this paper we demonstrate the implementation of this algorithm using EUV observations taken from Atmospheric Imaging Assembly (AIA) on-board the Solar Dynamics Observatory (SDO), Extreme Ultra-Violet Imager (EUVI) on-board the STEREO-A and B satellites, and Sun Watcher using Active Pixel System detector and Image Processing (SWAP) Imager onboard PROBA2. The algorithm is able to identify any outward moving feature in EUV images that may be associated with CMEs observed in white-light coronagraph images. The limitations of the algorithm, the prospects for future improvement and usefulness towards future missions like Aditya-L1 will also be discussed in this talk.