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Showing 1–3 of 3 results
Advanced filters: Author: A. M. Veronig Clear advanced filters

  • There is an abundance of solar observational data taken by various instrumentation with different quality and resolutions. Here, the authors provide a deep learning framework for instrument-to-instrument translation of solar observation data, enabling homogenized data series of multi-instrument data sets.

    • R. Jarolim
    • A. M. Veronig
    • T. Podladchikova
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-19

  • The application of physics-informed neural networks enables an estimation of the solar coronal magnetic field in quasi real time. A comparison with extreme-ultraviolet observations reveals that the model provides a realistic approximation and the modelled coronal field has a clear relationship with flaring activity.

    • R. Jarolim
    • J. K. Thalmann
    • T. Podladchikova
    Research
    Nature Astronomy
    Volume: 7, P: 1171-1179

  • A long-duration campaign to image the Sun’s middle corona—a region about 1.5–3 solar radii from the centre—reveals three dynamical processes that shape and restructure the middle corona. The dynamics can influence the global coronal structure and beyond.

    • Daniel B. Seaton
    • J. Marcus Hughes
    • Gregory Slater
    Research
    Nature Astronomy
    Volume: 5, P: 1029-1035