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A Subgrid Algorithm for the Efficient Modeling of Plasma-Based Accelerators with Ion Motion Using Quasi-Static Particle-in-Cell Codes

机译:使用准静态单元中粒子代码对带离子运动的等离子加速器进行高效建模的子网格算法

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Ion motion has a strong impact on the quality preservation of electron beams in plasma-based colliders. While being crucial for the advance of plasma-based accelerators, the modeling of the physics of interest is highly challenging due to the large disparity of the relevant transverse length scales. To correctly model plasma-based collider schemes with ion motion, a high transverse resolution must be employed in particle-in-cell simulations, which, conventionally, entails significant computational costs. By introducing a refined subgrid in the witness beam region in a quasi-static particle-in-cell code, significant computational savings can be achieved. This numerical approach allows for the accurate modeling of plasma-based colliders with ion motion in the blowout regime while allowing for an orders of maznitude computational speedup.
机译:离子运动对等离子对撞机中电子束的质量保持有很大影响。尽管对于基于等离子体的加速器的发展至关重要,但由于相关横向长度尺度的巨大差异,对感兴趣的物理学进行建模非常具有挑战性。为了正确地模拟具有离子运动的基于等离子体的对撞机方案,必须在细胞内颗粒模拟中采用较高的横向分辨率,这通常需要大量的计算成本。通过以准静态单元格内粒子代码在见证束区域中引入改进的子网格,可以节省大量计算量。这种数值方法允许在井喷状态下利用离子运动对基于等离子体的对撞机进行精确建模,同时允许一定数量级的计算加速。

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