Automated Detection of Accelerating Solar Eruptions using Parabolic Hough Transform
Ritesh Patel, Vaibhav Pant, Priyanka Iyer, Dipankar Banerjee, Marilena, Mierla, and Matthew J. West

TL;DR
This paper introduces CIISCO, an automated algorithm using parabolic Hough transform and Fourier filtering to detect accelerating solar eruptions in EUV images, aiding early CME warnings.
Contribution
The paper presents the first application of parabolic Hough transform for automatic detection of off-disk solar eruptions in EUV images, enhancing early CME detection capabilities.
Findings
Successfully detects off-disk outward moving features in EUV images.
Demonstrates applicability using data from SDO/AIA, STEREO/EUVI, and PROBA2/SWAP.
Potential for early CME warning systems at different solar vantage points.
Abstract
Solar eruptions such as Coronal Mass Ejections (CMEs) observed in the inner solar corona (up to 4 R) show acceleration profiles which appear as parabolic ridges in height-time plots. Inspired by the white-light automated 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 off-disk solar eruptions {from height-time plots. Due to the limited availability of white-light observations in the inner corona, we use Extreme UltraViolet (EUV) images of the Sun. In this paper we present a new algorithm, CME Identification in Inner Solar Corona (CIISCO), which is based on Fourier motion filtering and the parabolic Hough transform, and demonstrate its implementation using EUV observations taken from {\it Atmospheric Imaging Assembly} (AIA)…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
