An accurate and efficient laser-envelope solver for the modeling of laser-plasma accelerators
An accurate and efficient laser-envelope solver for the modeling of laser-plasma accelerators
复制标题
用于激光等离子体加速器建模的准确高效的激光包络求解器
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
W. Leemans
中科院分区：
文献类型：
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作者：
C. Benedetti;C. Schroeder;C. Geddes;E. Esarey;W. Leemans
激光等离子体加速器(LPA)的详细和可靠的数值模拟是一项艰巨的任务，在LPA中，短而强的激光脉冲与密度较低的等离子体在长达一米的距离内相互作用。这是由于建模中涉及的长度尺度之间的巨大差异，从激光波长的微米尺度到激光-等离子体相互作用总长度的米尺度。使用时间平均有质动力近似，其中激光脉冲通过其包络来描述，通过消除对激光波长尺度上的电子运动细节进行建模的需要，使得能够有效地对LPA进行建模。此外，它允许在柱面几何中进行模拟，以2D计算成本捕获相关的3D物理。任何基于时间平均有质动力近似的代码的一个关键元素是激光包络解算器。在本文中，我们介绍了在INF&RNO(流体与颗粒综合模拟程序)中使用的精确高效的包络求解器。即使在相当低的分辨率下，INF&RNO激光解算器的功能也能够准确地描述激光脉冲演变到耗尽的深度，从而显著提高计算速度。
Detailed and reliable numerical modeling of laser-plasma accelerators (LPAs), where a short and intense laser pulse interacts with an underdense plasma over distances of up to a meter, is a formidably challenging task. This is due to the great disparity among the length scales involved in the modeling, ranging from the micron scale of the laser wavelength to the meter scale of the total laser-plasma interaction length. The use of the time-averaged ponderomotive force approximation, where the laser pulse is described by means of its envelope, enables efficient modeling of LPAs by removing the need to model the details of electron motion at the laser wavelength scale. Furthermore, it allows simulations in cylindrical geometry which captures relevant 3D physics at 2D computational cost. A key element of any code based on the time-averaged ponderomotive force approximation is the laser envelope solver. In this paper we present the accurate and efficient envelope solver used in the code INF&RNO (INtegrated Fluid & paRticle simulatioN cOde). The features of the INF&RNO laser solver enable an accurate description of the laser pulse evolution deep into depletion even at a reasonably low resolution, resulting in significant computational speed-ups.
影响因子：
19.6
作者：
Fuchs, Matthias;Weingartner, Raphael;Gruener, Florian
通讯作者：
Gruener, Florian
影响因子：
64.8
作者：
Faure, J;Glinec, Y;Malka, V
通讯作者：
Malka, V