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

聚变研究人员现在正致力于建造世界上第一个核反应堆。许多问题仍然存在--其中之一是对托卡马克偏滤器区域的等离子体化学缺乏完整的了解。对托卡马克区域内气体过程的透彻理解对于托卡马克的工作是至关重要的，因为现代磁性托卡马克构型导致偏滤器区域内的大的点热负载，而偏滤器区域内的化学过程耗散了这种热量。我们可以从偏滤器获得光谱巴尔默和富尔歇线数据。然而，我们需要一个由化学信息提供的过程模型，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个化学模型。这个博士项目的目的是使用库勒姆实验提供的Balmer和Fulcher线数据来开发一个更好的化学模型。当一个更好的化学模型被开发出来时，用于预测托卡马克刮掉层内的物理过程的SOLPS代码将被更新，该托卡马克刮离层与偏滤器有磁和热联系。

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.