Adaptive Mesh Refinement (AMR) enabled semi-implicit PIC to study the onset of reconnection during substorms

Not scheduled
15m
Aula Wolfspoort (00.08) (Huis Bethlehem)

Aula Wolfspoort (00.08)

Huis Bethlehem

Schapenstraat 34, Leuven 3000

Speaker

Talha Arshad (University Of Michigan, Ann Arbor - Climate and Space Sciences and Engineering)

Description

The physical mechanisms responsible for the onset of magnetic reconnection during substorms are not well understood. Fully kinetic simulations can resolve the electron-scale physics essential to reconnection, but extending such models to the entire magnetosphere is computationally infeasible. As a result, the location and triggering mechanisms of reconnection must be studied using approaches that combine global MHD simulations with localized kinetic physics.

To investigate the onset of electron-scale magnetic reconnection and the processes that control it, we will perform global magnetohydrodynamic simulations with embedded particle-in-cell (MHD-EPIC), utilizing a newly developed adaptive mesh refinement (AMR) capability for the PIC component. In this framework, the MHD model describes the bulk magnetospheric dynamics, while kinetic PIC regions are embedded only where needed to capture reconnection physics. The AMR-PIC model enables ion-scale resolution in coarse PIC regions and electron-scale resolution in refined regions near reconnection sites.

Author

Talha Arshad (University Of Michigan, Ann Arbor - Climate and Space Sciences and Engineering)

Co-authors

Gabor Toth (University Of Michigan, Ann Arbor - Climate and Space Sciences and Engineering) Yuxi Chen (University Of Michigan, Ann Arbor - Climate and Space Sciences and Engineering)

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