Fast Inverse Transform Sampling of Non-Gaussian Distribution Functions in Space Plasmas
Fast Inverse Transform Sampling of Non-Gaussian Distribution Functions in Space Plasmas
复制标题
空间等离子体中非高斯分布函数的快速逆变换采样
DOI：
10.1029/2021ja030031
复制
发表时间：
2022
影响因子：
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通讯作者：
Decyk, Viktor
中科院分区：
文献类型：
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作者：
An, Xin;Artemyev;Angelopoulos, Vassilis;Lu, San;Pritchett, Philip;Decyk, Viktor
在无碰撞空间等离子体中，通常可以观察到非高斯分布。从非高斯分布生成样本对于研究其驱动和非驱动动力学的单元中粒子模拟的初始化至关重要。为此，我们报告了一个计算高效、健壮的工具ChebSamping，它可以对一维和二维的一般分布函数进行采样。该工具基于用切比雪夫多项式逼近函数的逆变换采样。我们通过对空间等离子体中典型分布函数的采样来演示切布采样的实际应用。
Non‐Gaussian distributions are commonly observed in collisionless space plasmas. Generating samples from non‐Gaussian distributions is critical for the initialization of particle‐in‐cell simulations that investigate their driven and undriven dynamics. To this end, we report a computationally efficient, robust tool,Chebsampling, to sample general distribution functions in one and two dimensions. This tool is based on inverse transform sampling with function approximation by Chebyshev polynomials. We demonstrate practical uses ofChebsamplingthrough sampling typical distribution functions in space plasmas.