The kinematics of coronal mass ejections using multiscale methods
Jason P. Byrne, Peter T. Gallagher, R. T. James McAteer, and C. Alex, Young

TL;DR
This paper introduces multiscale image processing techniques to improve the detection and analysis of coronal mass ejections, revealing more accurate kinematic and morphological properties than traditional methods.
Contribution
The study applies multiscale methods for CME detection and characterization, providing more precise kinematic data and challenging existing constant acceleration models.
Findings
CME heights are overestimated in existing catalogues.
CME acceleration varies, with high acceleration below ~5 R_sun.
CME widths are overestimated and expansion is non-constant.
Abstract
The diffuse morphology and transient nature of coronal mass ejections (CMEs) make them difficult to identify and track using traditional image processing techniques. We apply multiscale methods to enhance the visibility of the faint CME front. This enables an ellipse characterisation to objectively study the changing morphology and kinematics of a sample of events imaged by the Large Angle Spectrometric Coronagraph (LASCO) onboard the Solar and Heliospheric Observatory (SOHO) and the Sun Earth Connection Coronal and Heliospheric Investigation (SECCHI) onboard the Solar Terrestrial Relations Observatory (STEREO). The accuracy of these methods allows us to test the CMEs for non-constant acceleration and expansion. We exploit the multiscale nature of CMEs to extract structure with a multiscale decomposition, akin to a Canny edge detector. Spatio-temporal filtering highlights the CME…
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.
