| Autor: |
Huerta, C. E., Eckhardt, D. Q., Martin, R. S. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 2996 Issue 1, p1-9, 9p |
| Abstrakt: |
Particle in cell techniques are ubiquitous in plasma physics simulations, such as Hall thruster models. Particle merg-ing or downsampling is crucial in order to maintain acceptable computational cost and noise. However, recent in-house thruster simulations suffered from particles created in the merging process spawning outside the computational domain. A novel algorithm proposed by Gonoskov addresses this issue while offering at least comparable if not better computational performance. Further-more, this new method can accommodate conservation of any moments relevant to the simulation. By combining it with octree sorting, kinetic entropy losses are minimized, inhibiting velocity distribution thermalization. This new method compares favorably in sample simulations with conservative N : 2 merging and without merging (cutting computational time by over two-thirds) and enables Hall thruster simulations that would not have been possible before. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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