Title: Using advanced camera image and data analysis to address an important hurdle for magnetic fusion energy

本博士项目利用经光谱滤波的CCD相机，在波长滤波后选择特定的等离子体发射线，获取分流器目标附近的等离子体图像。这项研究将包括应用射线追踪和断层扫描技术来展开图像，以提供等离子体特性在CCFE正在建造的MAST-Upgrade设备中如何在两个空间维度和时间上演变的测量。辐射分析将得到原子物理模型的支持。该学生还将参与综合分析，从多种诊断中获取数据，包括相机，电探针和激光散射，以推断穿越分流等离子体区域的潜在等离子体特性，从而了解原子物理和其他过程如何决定其演变。

This PhD project utilises spectrally filtered CCD cameras to acquire images of the plasma near the divertor target filtered in wavelength to select particular plasma emission lines. The research would involve applying ray tracing and tomography techniques to unfold the images to provide a measure of how the plasma properties evolve in 2 spatial dimensions and time in the MAST-Upgrade device under construction at CCFE. The radiation analysis will be supported by atomic physics modelling. The student will also be involved in an integrated analysis that takes data from multiple diagnostics, including cameras, electrical probes and laser scattering, to infer the underlying plasma properties across the divertor plasma region and thus how atomic physics and other processes determine its evolution.