Data-constrained 3D modeling of the 2011 August 4 flare reveals strong polarity asymmetry in electron precipitation driven by magnetic mirror ratios, with turbulent scattering and Coulomb collisions modulating the energy-dependent flux.
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2 Pith papers cite this work, alongside 262 external citations. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
A deep learning model with dynamic masks and multi-parameter constraints predicts solar vector magnetic fields over 12 hours, achieving SSIM 0.912 and CC 0.998 for the radial component with 7.82% unsigned flux error.
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Data-Constrained Modeling of Electron Transport and Asymmetric Precipitation in the 2011 August 4 Solar Flare
Data-constrained 3D modeling of the 2011 August 4 flare reveals strong polarity asymmetry in electron precipitation driven by magnetic mirror ratios, with turbulent scattering and Coulomb collisions modulating the energy-dependent flux.
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Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields
A deep learning model with dynamic masks and multi-parameter constraints predicts solar vector magnetic fields over 12 hours, achieving SSIM 0.912 and CC 0.998 for the radial component with 7.82% unsigned flux error.