The output of a laser wakefield accelerator depends strongly on the density profile of the gas target. In this work we focus on the reconstruction of 3D density profiles from tomographic measurements. We compare analytical and iterative methods, and we propose a new one, the filtered algebraic reconstruction method (FARM), which is tailored for the reconstruction of gas targets for laser wakefield acceleration. Several methods are tested on both simplified and realistic geometries. The algorithms are evaluated in terms of the quality of the density profile reconstruction, the number of projections needed and the computation time required.

中文翻译：

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用于激光尾场加速的目标的结构化气体密度分布的层析成像重建算法

激光尾场加速器的输出在很大程度上取决于目标气体的密度分布。在这项工作中，我们专注于从断层扫描测量中重建3D密度分布。我们比较了分析方法和迭代方法，并提出了一种新的滤波代数重建方法（FARM），该方法专为重建激光目标以加速激光尾场而设计。在简化和实际几何形状上都测试了几种方法。根据密度分布重建的质量，所需投影的数量和所需的计算时间对算法进行评估。