论文标题
从单点分布函数数据中获取血浆特性中梯度的一种漂移运动方法
A drift-kinetic method for obtaining gradients in plasma properties from single-point distribution function data
论文作者
论文摘要
在本文中，我们得出了一种新的漂移运动方法，用于通过单个点的速度空间分布来估计等离子体特性中的梯度。这些梯度与分布函数的自闭症特征本质上相关。该方法可以预测磁化分布函数中的梯度，并可以预测旋转背景分布函数的任意力矩的梯度。该方法允许对Larmor半径尺度上的密度和压力梯度进行估计，证明比当前可用于航天器可用的任何方法更小的尺度。该模型通过一组全动作VPIC粒子中的模拟进行了验证。
In this paper, we derive a new drift-kinetic method for estimating gradients in the plasma properties through a velocity space distribution at a single point. The gradients are intrinsically related to agyrotropic features of the distribution function. This method predicts the gradients in the magnetized distribution function, and can predict gradients of arbitrary moments of the gyrotropic background distribution function. The method allows for estimates on density and pressure gradients on the scale of a Larmor radius, proving to resolve smaller scales than any method currently available to spacecraft. The model is verified with a set of fully-kinetic VPIC particle-in-cell simulations.
