Turbulence diagnosis using the Synthetic Aperture Microwave Imager (SAMI).

在我的博士学位课程中，我将在罗迪·范恩和大卫·迪金森的指导下，用微波来表征等离子体边缘的湍流。湍流是托卡马克热损失的主要机制，了解它对托卡马克电厂的成功运行至关重要。以足够低的频率注入的微波以与波频率相关的密度从等离子体边缘反弹。有人提出，比较后向散射微波的偏振与注入光束的偏振可以用来确定散射湍流是电磁的还是静电的程度，从而区分两种不同的边缘湍流模型。我的项目将使用现有的高性能计算代码来研究这种方法的可行性；计算模型随后将通过must - u的合成孔径微波成像（SAMI）诊断进行实验验证。

For my PhD, I will be under the supervision of Roddy Vann and David Dickinson to characterize turbulence at the plasma edge using microwaves. Turbulence is the dominant mechanism for the loss of heat from tokamaks and understanding it is critical to successful operation of a tokamak power plant.Injected microwaves at sufficiently low frequency bounce off the plasma edge at a density related to the wave frequency. It is proposed that comparing the polarisation of the back-scattered microwaves to the polarisation of the injected beam can be used to determine the extent to which the scattering turbulence is electromagnetic or electrostatic - thereby discriminating between two different models for edge turbulence. My project will use existing high performance computing codes to study the feasibility of this approach; the computational models will then be validated with experiment by using the Synthetic Aperture Microwave Imaging (SAMI) diagnostic at MAST-U.