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Loading video. VIDEO: Observation series of a day with varying atmospheric conditions. Low-quality observations are shown in yellow and high-quality observations in blue. High-quality observations can be seen in the gaps between transitioning. view more  Credit: R. Jarolim et al. / Astronomy&Astrophysics Scientists from the University of Graz and the Kanzelhöhe Solar Observatory (Austria) and their colleagues from the Skolkovo Institute of Science and Technology (Skoltech) developed a new method based on deep learning for stable classification and quantification of image quality in ground-based full-disk solar images. The research results were published in the journal Astronomy & Astrophysics and are available in open access.

Samarskaya oblastTatiana podladchikovaDanielk inouyeGalileo galileiRobert jarolimUniversity of grazEnvironmental researchSolar physics research integrated network groupGenerative adversarial networksSkoltech space centerSkolkovo institute of scienceTechnology skoltechSolar observatorySkolkovo instituteSolar dynamics observatorySolar telescope