A data-driven physics-based transport model of solar energetic particles accelerated by coronal mass ejection shocks propagating through the solar coronal and heliospheric magnetic fields
Ming Zhang, Lei Cheng, Ju Zhang, Pete Riley, Ryun Young Kwon, David, Lario, Laura Balmaceda, Nikolai Pogorelov

TL;DR
This paper introduces a data-driven, physics-based model for simulating the injection, acceleration, and propagation of solar energetic particles caused by CME shocks, integrating MHD data and advanced stochastic techniques.
Contribution
The paper presents a novel 5D focus transport model that combines MHD-driven plasma data with stochastic simulation to accurately predict SEP events.
Findings
Model reproduces multi-spacecraft SEP observations without flux normalization.
Single CME shock explains widespread SEP event at multiple spacecraft.
Accurately simulates SEP propagation using real CME data.
Abstract
In an effort to develop computational tools for predicting radiation hazards from solar energetic particles (SEPs), we have created a data-driven physics-based particle transport model to calculate the injection, acceleration and propagation of SEPs from coronal mass ejection (CME) shocks traversing through the solar corona and interplanetary magnetic fields. The model runs on an input of corona and heliospheric plasma and magnetic field configuration from an MHD model driven by solar photospheric magnetic field measurements superposed with observed CME shocks determined from coronagraph images. Using several advanced computation techniques involving stochastic simulation and integration, it rigorously solves the time-dependent 5-dimensional focus transport equation in the phase space that includes pitch-angle scattering, diffusion across magnetic field line, and particle acceleration…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Ionosphere and magnetosphere dynamics
