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

使用合成孔径微波成像仪 (SAMI) 进行湍流诊断。

• 批准号: 2752179
• 金额: --
• 依托单位: University of York
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2752179
• 关键词: Turbulence; diagnosis; using; Synthetic; Aperture

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.

我的博士学位，我将在罗迪范恩和大卫迪金森的监督下，在等离子体边缘使用微波表征湍流。湍流是托卡马克热量损失的主要机制，理解湍流对托卡马克发电厂的成功运行至关重要。注入的微波在足够低的频率下以与波频率相关的密度从等离子体边缘反弹。有人建议，比较后向散射的微波的偏振的注入光束的偏振，可以用来确定的程度，散射湍流是电磁或静电-从而区分两种不同的模型之间的边缘湍流。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;然后将通过使用MAST-U的合成孔径微波成像（SAMI）诊断实验来验证计算模型。