3 papers
astro-ph.SR2026
SuNeRF-CME: Physics-Informed Neural Radiance Fields for Tomographic Reconstruction of Coronal Mass Ejections
Robert Jarolim, Martin Sanner, Chia-Man Hung +8
Coronagraphic observations enable direct monitoring of coronal mass ejections (CMEs) through scattered light from free electrons, but determining the 3D plasma distribution from 2D…
physics.space-ph2026
Deterministic and probabilistic neural surrogates of global hybrid-Vlasov simulations
Daniel Holmberg, Ivan Zaitsev, Markku Alho +5
Hybrid-Vlasov simulations resolve ion-kinetic effects in the solar wind-magnetosphere interaction, but even 5D (2D + 3V) configurations are computationally expensive. We show that…
physics.space-ph2025
Graph-based Neural Space Weather Forecasting
Daniel Holmberg, Ivan Zaitsev, Markku Alho +5
Accurate space weather forecasting is crucial for protecting our increasingly digital infrastructure. Hybrid-Vlasov models, like Vlasiator, offer physical realism beyond that of cu…