首页> 外文期刊>International journal for uncertainty quantifications >UNCERTAINTY QUANTIFICATION OF THE GEM CHALLENGE MAGNETIC RECONNECTION PROBLEM USING THE MULTILEVEL MONTE CARLO METHOD
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UNCERTAINTY QUANTIFICATION OF THE GEM CHALLENGE MAGNETIC RECONNECTION PROBLEM USING THE MULTILEVEL MONTE CARLO METHOD

机译:应用多层次蒙特卡罗方法对宝石挑战磁重联问题的不确定度定量

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摘要

Plasma modelers often change the ion-to-electron mass ratio and speed of light to Alfven speed ratio to decrease computational cost. Changing these parameters may affect the outcome of simulation and uncertainty in the results. This work aims to quantify the uncertainty of varying the ion-to-electron mass ratio, speed of light to Alfvin speed ratio, and the initial magnetic flux perturbation on the reconnected flux to provide a confidence limit. In this study, the multilevel Monte Carlo (MMC) method is employed to estimate the mean and variance, and the results are compared with the standard Monte Carlo (MC) and the probabilistic collocation (PC) methods. The plasma model used here is the two-fluid plasma where ions and electrons are treated as two separate fluids. Numerical simulations are presented showing the effectiveness of the MMC method when applied to the quasi-neutral ion cyclotron waves and the Geospace Environment Modeling (GEM) magnetic reconnection challenge problems. The mean reconnected flux with error bars provides a reconnection flux variation envelope, which can help numerical modelers to evaluate whether their reconnection flux lies inside the envelope for different plasma models. The results of the MMC mean and variance are comparable to the MC method but at a much lower computational cost.
机译:等离子体建模者经常更改离子与电子的质量比以及光速与Alfven速比,以降低计算成本。更改这些参数可能会影响仿真结果以及结果的不确定性。这项工作旨在量化改变离子与电子质量比,光速与Alfvin速比以及重新连接的磁通上的初始磁通量扰动以提供置信度极限的不确定性。在这项研究中,采用多层蒙特卡洛(MMC)方法估计均值和方差,并将结果与​​标准蒙特卡洛(MC)和概率搭配(PC)方法进行比较。这里使用的等离子体模型是双流体等离子体,其中离子和电子被视为两种独立的流体。数值模拟显示了MMC方法应用于准中性离子回旋加速器波和地球空间环境建模(GEM)磁重连接挑战问题的有效性。带有误差线的平均重连通量提供了重连通量变化包络线,这可以帮助数值建模人员评估其重连通量是否位于不同等离子体模型的包络线内。 MMC均值和方差的结果与MC方法相当,但计算成本却低得多。

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