38 citations · 193 across the 24 of their papers we have counts for
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New Bulgarian-Austrian project 'Joint observations and investigations of solar chromospheric and coronal activity'
Rositsa Miteva, Werner Pötzi, Astrid Veronig +9
We present the bilateral collaboration between Bulgarian and Austrian solar and space weather researchers on the topic of chromospheric and coronal activity. This new project will…
FOXES: A Framework For Operational X-ray Emission Synthesis
Griffin T. Goodwin, Jayant Biradar, Alison J. March +4
Understanding solar flares is critical for predicting space weather, as their activity shapes how the Sun influences Earth and its environment. The development of reliable forecast…
Image calibration between the Extreme Ultraviolet Imagers on Solar Orbiter and the Solar Dynamics Observatory
Christoph Schirninger, Robert Jarolim, Astrid M. Veronig +6
To study and monitor the Sun and its atmosphere, various space missions have been launched in the past decades. With the rapid improvement in technology and different mission requi…
SuNeRF-CME: Physics-Informed Neural Radiance Fields for Tomographic Reconstruction of Coronal Mass Ejections
Robert Jarolim, Martin Sanner, Chia-Man Hung +8
Coronagraphic observations enable direct monitoring of coronal mass ejections (CMEs) through scattered light from free electrons, but determining the 3D plasma distribution from 2D…
Magnetic structure and asymmetric eruption of a 500 Mm filament rooted in weak-field regions
Stefan Purkhart, Astrid M. Veronig, Robert Jarolim +2
We performed a detailed analysis of the magnetic structure and asymmetric eruption of a large (about 500 Mm) inverse S-shaped filament partially located in AR 13229 on February 24,…
Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations
Christoph Schirninger, Robert Jarolim, Astrid M. Veronig +1
Large aperture ground based solar telescopes allow the solar atmosphere to be resolved in unprecedented detail. However, observations are limited by Earths turbulent atmosphere, re…
PINN ME: A Physics-Informed Neural Network Framework for Accurate Milne-Eddington Inversions of Solar Magnetic Fields
Robert Jarolim, Momchil E. Molnar, Benoit Tremblay +2
Spectropolarimetric inversions of solar observations are fundamental for the estimation of the magnetic field in the solar atmosphere. However, instrumental noise, computational re…