Fine details in solar flare ribbons: Statistical insights from observations with the Swedish 1-m Solar Telescope
Jonas Thoen Faber, Reetika Joshi, Luc Rouppe van der Voort, Sven Wedemeyer, Eilif Sommer {\O}yre, Ignasi J. Soler Poquet, Aline Rang{\o}y Brunvoll

TL;DR
This study uses high-resolution observations from SST and AIA to analyze the fine-scale structure of solar flare ribbons, revealing small, elongated features called riblets that support the patchy reconnection model.
Contribution
It introduces a detailed analysis of flare ribbon substructures using machine learning and spectroscopy, providing new insights into the fragmented nature of magnetic reconnection zones.
Findings
Riblets are 110-310 km wide and 620-1220 km long, with a maximum of 2000 km.
Riblets exhibit redshifted emission with velocities of 16-21 km/s.
Flare ribbons are composed of fragmented, vertically extended substructures.
Abstract
Flare ribbons serve as chromospheric footprints of energy deposition resulting from particle acceleration during magnetic reconnection. Their fine-scale structure provides a valuable tool for probing the dynamics of the flare reconnection process. Our goal is to investigate the fine-scale structure of flare ribbons through multiple observations of flares, utilising data obtained from the Atmospheric Imaging Assembly (AIA) and the Swedish 1-m Solar Telescope (SST). The aligned AIA and SST datasets for the three solar flares were used to examine their overall morphology. The SST datasets were specifically used to identify fine-scale structures within the flare ribbons. For spectroscopic analysis of these fine structures, we applied machine-learning methods (k-means clustering) and Gaussian fitting. Using k-means, we identified elongated features in the flare ribbons, termed as "riblets",…
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.
