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Field Sampling Strategies for POD Model Order Reduction of Particle-in-Cell Simulations

机译:用于POD模型顺序降低粒子内模拟的现场采样策略

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Particle-in-Cell (PIC) simulations are an useful tool for the analysis of kinetic collisionless plasmas such as those found in high power microwave devices, vacuum electronics, directed energy devices, among others. However, PIC simulations remain computationally costly, and model order reduction strategies such as the Proper Orthogonal Decomposition (POD) can be instrumental in reducing some of these costs. The efficacy of the reduced-order model resulting from application of POD depends on several factors, among them the strategy employed to sample field values when constructing the reduced order model. In this work we analyze and compare several such field sampling strategies.
机译:粒子 - 细胞(PIC)模拟是分析动力学碰撞等离子体的有用工具,例如在高功率微波器件,真空电子设备,定向能量装置中发现的等离子体。然而,PIC模拟仍然昂贵地保持昂贵,而模型顺序减少策略,如适当的正交分解(POD)可以是易于降低​​这些成本的影响。由POD的应用产生的下降阶模型的功效取决于若干因素,其中包括在构建减少阶模型时用于采样场所的策略。在这项工作中,我们分析并比较了几种此类采样策略。

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