163 citations · 1.3k across the 35 of their papers we have counts for
5 papers · 1 filter
Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics & Losses
Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney +7
Breakthroughs in our understanding of physical phenomena have traditionally followed improvements in instrumentation. Studies of the magnetic field of the Sun, and its influence on…
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties
Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth +7
Machine learning techniques have been successfully applied to super-resolution tasks on natural images where visually pleasing results are sufficient. However in many scientific do…
The need for active region disconnection in 3D kinematic dynamo simulations
T. Whitbread, A. R. Yeates, A. Muñoz-Jaramillo
In this paper we address a discrepancy between the surface flux evolution in a 3D kinematic dynamo model and a 2D surface flux transport model that has been closely calibrated to t…
Historical astronomical data: urgent need for preservation, digitization enabling scientific exploration
Alexei Pevtsov, Elizabeth Griffin, Jonathan Grindlay +16
Over the past decades and even centuries, the astronomical community has accumulated a signif-icant heritage of recorded observations of a great many astronomical objects. Those re…
A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission
Richard Galvez, David F. Fouhey, Meng Jin +8
In this paper we present a curated dataset from the NASA Solar Dynamics Observatory (SDO) mission in a format suitable for machine learning research. Beginning from level 1 scienti…