Determining the role of plasma-molecule interactions on Tokamak Power Exhaust

核聚变研究人员目前正致力于建造世界上第一座核反应堆。许多问题仍然存在，其中之一是缺乏对托卡马克转向器区域等离子体化学的完全理解。透彻理解托卡马克区域内的气体过程对托卡马克工作至关重要，因为现代磁性托卡马克结构导致导流器区域的大点热负荷，而导流器区域内的化学过程会消散这些热量。我们可以从分流器中获得光谱巴尔默和富尔彻线数据。然而，我们需要一个化学过程的模型，以便能够有意义地绘制这些数据。贝叶斯数学可以用来提供这种化学模型。本博士项目旨在利用Culham实验提供的balmer和fulcher线数据来开发更好的化学模型。当开发出更好的化学模型时，用于预测托卡马克刮除层内物理过程的代码SOLPS将被更新，该刮除层与导流器的磁和热联系在一起。

Fusion researchers are now working towards building the world's first nuclear reactor. Many issues remain - one of them being a lack of a complete understanding of the plasma chemistry in the divertor region of the tokamak. A thorough understanding of the gaseous processes within the tokamak region is crucial to a working tokamak as modern magnetic tokamak configurations lead to large point heat loads in the divertor region and chemical processes within the divertor region dissipate this heat.We can obtain spectroscopic balmer and fulcher line data from the divertor. However, we need a model of the processes informed by chemistry to be able to meaningfully plot this data. Bayesian mathematics can be used to provide this chemical model.This PHD project aims to use the balmer and fulcher line data provided by experiments at Culham to develop a better chemical model. When a better chemical model has been developed, the code, SOLPS, used to predict physical processes within the Scrape Off Layer of the tokamak which is linked magnetically and thermally to the divertor will be updated.