Data-driven MURaM simulations of emerging active region 11640 reproduce key EUV features and find volumetric coronal heating proportional to B squared along with ubiquitous MHD waves.
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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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Data-driven Radiative Magnetohydrodynamics Simulations with the MURaM Code: Coronal Heating and Dynamics in an Emerging Active Region
Data-driven MURaM simulations of emerging active region 11640 reproduce key EUV features and find volumetric coronal heating proportional to B squared along with ubiquitous MHD waves.
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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.