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Parametrization of coefficients for sub-grid modeling of pitch-angle diffusion in global magnetospheric hybrid-Vlasov simulations

Sub-grid models are key tools to accurately describe the physical processes at play in a system when high-resolution simulations are not feasible. We previously developed a sub-grid model for pitch-angle diffusion in hybrid-Vlasov simulations of Earth's magnetosphere. However, a more precise de...

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Main Authors: Dubart, Maxime (Author) , Battarbee, M. (Author) , Ganse, Urs (Author) , Osmane, A. (Author) , Spanier, Felix (Author) , Suni, J. (Author) , Cozzani, Giulia (Author) , Horaites, K. (Author) , Papadakis, K. (Author) , Pfau-Kempf, Y. (Author) , Tarvus, V. (Author) , Palmroth, Minna (Author)
Format: Article (Journal)
Language:English
Published: 7 December 2023
In: Physics of plasmas
Year: 2023, Volume: 30, Issue: 12, Pages: 1-14
ISSN:1089-7674
DOI:10.1063/5.0176376
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1063/5.0176376
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Author Notes:M. Dubart, M. Battarbee, U. Ganse, A. Osmane, F. Spanier, J. Suni, G. Cozzani, K. Horaites, K. Papadakis, Y. Pfau-Kempf, V. Tarvus, M. Palmroth
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Summary:Sub-grid models are key tools to accurately describe the physical processes at play in a system when high-resolution simulations are not feasible. We previously developed a sub-grid model for pitch-angle diffusion in hybrid-Vlasov simulations of Earth's magnetosphere. However, a more precise description of the pitch-angle diffusion coefficient is required to apply this model to global simulations. In this study, we use an existing method to parametrize pitch-angle diffusion coefficients from monotonic distribution functions and adapt it to bi-Maxwellian distributions. We determine these coefficients for various values of the ion temperature anisotropy and plasma β∥. We use these newly parametrized coefficients in our sub-grid model and show that it accurately models reduction of temperature anisotropy in both local simulations and global simulations of the Earth's magnetosphere, while using minimal computational resources.
Item Description:Gesehen am 27.05.2024
Physical Description:Online Resource
ISSN:1089-7674
DOI:10.1063/5.0176376

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