27–31 Oct 2025
Europe/Stockholm timezone

SEP Acceleration and Transport in a 1D Monte Carlo Model with COCONUT Inputs

Not scheduled
20m
Idun

Idun

Poster CD1 - Combination of physics-based and data-driven methods for space weather forecasting CD1 - Combination of physics-based and data-driven methods for space weather forecasting

Speaker

Lidiya Annie John (University of Turku, Finland and KU Leuven, Belgium)

Description

Solar energetic particles (SEPs) accelerated in coronal mass ejection (CME) driven shocks are key contributors to space weather hazards. However, their acceleration and escape mechanisms remain incompletely understood, particularly under realistic coronal conditions. We present a one-dimensional Monte Carlo simulation framework for modeling SEP acceleration using diffusive shock acceleration (DSA) at different shock obliquities. The model incorporates magnetic field geometries and plasma parameters derived from the COolfluid COroNa UnsTructured (COCONUT) magnetohydrodynamics (MHD) model.

Using Bell’s steady state mean free path model, our simulations reproduce key observational features of in situ SEP events observed by spacecraft such as ACE, including streaming-limited intensities and flat upstream energy spectra at 1 AU, particularly under high-obliquity shock conditions. These results highlight the importance of realistic magnetic field inhomogeneities and adiabatic focusing in shaping particle escape. These developments pave the way for more accurate modeling of SEP behavior.

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Primary author

Lidiya Annie John (University of Turku, Finland and KU Leuven, Belgium)

Co-authors

Dr Alexandr Afanasiev (University of Turku, Finland) Rami Vainio (University of Turku, Finland) Stefaan Poedts (KU Leuven)

Presentation materials

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