A multi-scale spectral pipeline using deep learning filament detection automatically identifies 91 oscillatory events in two weeks of 2014 GONG data, recovering known events and finding new ones with periods 20-126 min.
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DEM analysis of the 6 September 2011 coronal wave finds 6-8% density and 10-18% temperature increases at the front, indicating heating mechanisms in addition to compressional adiabatic heating.
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Automatic detection of solar filament oscillations I: Multi-scale spectral pipeline
A multi-scale spectral pipeline using deep learning filament detection automatically identifies 91 oscillatory events in two weeks of 2014 GONG data, recovering known events and finding new ones with periods 20-126 min.
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DEM analysis of the 6 September 2011 large-scale coronal wave
DEM analysis of the 6 September 2011 coronal wave finds 6-8% density and 10-18% temperature increases at the front, indicating heating mechanisms in addition to compressional adiabatic heating.