Multi-wavelength timing analysis of an X-class flare reveals temperature-dependent phase drifting in 5-minute QPPs, interpreted as evidence for periodic magnetic reconnection triggered by lower-atmosphere oscillations.
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A CNN-based fusion model trained on multi-instrument solar observations predicts geoeffective CMEs, achieving mean TSS of 0.703 and Brier score of 0.095 via five-fold cross-validation.
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Phase-drifting with emitting plasma temperature in the quasi-periodic pulsations of an X-class solar flare
Multi-wavelength timing analysis of an X-class flare reveals temperature-dependent phase drifting in 5-minute QPPs, interpreted as evidence for periodic magnetic reconnection triggered by lower-atmosphere oscillations.
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Deep Learning-Enabled Prediction of Geoeffective CMEs Using SOHO and SDO Observations
A CNN-based fusion model trained on multi-instrument solar observations predicts geoeffective CMEs, achieving mean TSS of 0.703 and Brier score of 0.095 via five-fold cross-validation.