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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Pith papers citing it
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astro-ph.SR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Contemporaneous Dopplergram analysis reveals time-varying northwestern phase anomalies and east-west travel-time inconsistencies in both SDO/HMI and GONG data, indicating systematic artifacts.
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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.
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Oscillatory Phase and Acoustic Travel-Time Inconsistencies Measured between SDO/HMI and GONG Dopplergrams
Contemporaneous Dopplergram analysis reveals time-varying northwestern phase anomalies and east-west travel-time inconsistencies in both SDO/HMI and GONG data, indicating systematic artifacts.