Computational space science  

Objectives: Gain advanced knowledge in Computational Space Physics; get acquainted with specific numerical techniques used in Space Plasmas; perform critical analysis of numerical simulations with emphasis on stability and errors. Highlight links/applications of concepts met in other lectures: Time integration schemes (consistency, accuracy, particle movers) • Particle-in-Cell (PIC) method (charge assignment and field interpolation) • Monte Carlo methods (sampling; collisional transport; null-collision scheme) • Hydrodynamics (finite difference methods; finite volume methods)
Presential
English
Computational space science
English

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