论文标题
在空间等离子体中非高斯分布功能的快速反变形采样
Fast inverse transform sampling of non-Gaussian distribution functions in space plasmas
论文作者
论文摘要
在无碰撞空间等离子体中通常观察到非高斯分布。从非高斯分布中生成样品对于研究其驱动和未传播动态的粒子中的粒子模拟的初始化至关重要。为此，我们报告了一种计算高效，可靠的工具，CHEBS采样，以在一个和二维中采样一般分布函数。该工具基于Chebyshev多项式函数近似的逆变换采样。我们通过在空间等离子体中采样典型的分布功能来证明CHEBS采样的实际用途。
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 of Chebsampling through sampling typical distribution functions in space plasmas.
