Spectral flattening in active-region radio emission at 18-26 GHz signals an 89% probability of a strong solar flare within 30 hours, with only 12% of such flares missed despite weekly observations.
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A visual transformer model trained on IRIS inversions predicts chromospheric temperature and density from SDO data with correlations around 0.8 on 80% of test cases.
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Correlation between active regions' spectra at high radio frequencies and solar flare occurrences
Spectral flattening in active-region radio emission at 18-26 GHz signals an 89% probability of a strong solar flare within 30 hours, with only 12% of such flares missed despite weekly observations.
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Predicting the thermodynamics in the chromosphere from the translation of SDO data into the IRIS$^{2}$ inversion results using a visual transformer model
A visual transformer model trained on IRIS inversions predicts chromospheric temperature and density from SDO data with correlations around 0.8 on 80% of test cases.