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

标题：利用先进的相机图像和数据分析来解决磁聚变能源的一个重要障碍

• 批准号: 1817788
• 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: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1817788
• 关键词: Title; Using; advanced; camera; image

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.

这个PHD项目利用光谱过滤的CCD摄像机来获取偏滤器目标附近的等离子体图像，并在波长上进行过滤，以选择特定的等离子体发射线。这项研究将涉及应用射线跟踪和层析成像技术来展开图像，以提供在CCFE在建的桅杆升级设备中等离子体特性在2个空间维度和时间上如何演变的测量方法。辐射分析将得到原子物理模型的支持。学生还将参与一项综合分析，该分析从包括相机、电子探头和激光散射在内的多个诊断中获取数据，以推断偏滤器等离子体区域的潜在等离子体属性，从而推断原子物理和其他过程如何决定其演变。