AI Learns to Spot Solar Filaments That Could Trigger Dangerous Space Weather
Researchers have developed leakage-aware U-Net models that automatically segment solar filaments in ground-based hydrogen-alpha images, offering a scalable path toward ...
Researchers have developed leakage-aware U-Net models that automatically segment solar filaments in ground-based hydrogen-alpha images, offering a scalable path toward ...
Scientists have used solar flares themselves to recalibrate the tungsten grids of the STIX X-ray telescope aboard Solar Orbiter, revealing ...
Researchers have introduced SDOFMv2, a family of AI foundation models trained on over 500,000 Solar Dynamics Observatory images that learn ...
Researchers have developed BF-TrackFormer, a bidirectional deep learning method that tracks solar filaments through splitting and fragmentation to improve space ...
A new analysis of four solar cycles shows that the Sun's greatest X-class flares follow a distinct pattern tied to ...
A new Solar Physics study shows that the Sun's green-line corona maintains a stable, double-peaked latitude relationship with sunspot activity ...
A new analysis shows that cross-helicity can dominate the decay of the solar dynamo's magnetic power spectra, and that the ...
The search for what heats the Sun's outer atmosphere to millions of degrees has occupied solar physicists for more than ...
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© 2025 Scienmag - Science Magazine