SuNeRF-CME uses physics-informed NeRFs with ray-tracing for Thomson scattering and constraints on plasma continuity, direction, and speed to enable tomographic 3D reconstruction of CMEs from as few as two viewpoints, validated on synthetic data with low parameter errors.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2025 2verdicts
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Long-term near-Earth solar wind observations establish a robust empirical connection between flow speed and magnetohydrodynamic turbulence energy.
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SuNeRF-CME: Physics-Informed Neural Radiance Fields for Tomographic Reconstruction of Coronal Mass Ejections
SuNeRF-CME uses physics-informed NeRFs with ray-tracing for Thomson scattering and constraints on plasma continuity, direction, and speed to enable tomographic 3D reconstruction of CMEs from as few as two viewpoints, validated on synthetic data with low parameter errors.
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A robust empirical relationship between speed and turbulence energy in the near-Earth solar wind
Long-term near-Earth solar wind observations establish a robust empirical connection between flow speed and magnetohydrodynamic turbulence energy.