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Summary report of the 3rd IAEA technical meeting on fusion data processing validation and analysis (FDPVA)

机译:第三届IAEA融合数据处理验证和分析技术会议的摘要报告(FDPVA)

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摘要

The Third IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis took place at the IAEA Headquarters in Vienna, Austria, from 28-31 May and brought together more than 60 scientists and engineers from 19 Member States, the European Commission and ITER Organisation working on data analysis and machine learning (ML) methods for the processing of fusion data, collected either from experimental diagnostics or from plasma simulations. 'Accurate data processing leads to a better understanding of the physics related to nuclear fusion research. It is essential for the careful estimate of the error bars of the raw measurements and processed data,' said D. Mazon (Chair, CEA, France) in his introductory talk and progress has been shown in this direction during the meeting. In particular the meeting discussed new developments in fusion R&D applications in the following areas: inversion techniques, such as tomography; magnetic topology reconstruction, such as equilibrium reconstructions; system identification; scaling laws determination and their accuracy for extrapolation from current machines to fusion reactors; model-based algorithms for control applications; identification of spurious and undesired events, such as disruptive phenomena or hot spots in infra-red images using sophisticated mathematical techniques like neural network and support vector machines. Discussions also focused on the potential use of these techniques for ITER, in particular, on their relevance to the first ITER plasma. The use of Integrated Modelling & Analysis Suite (IMAS) infrastructure-a convenient platform that allows implementation of different simulation codes in the same format-and synthetic diagnostics that could be coupled with this structure, in order to test the different mathematical approaches developed by the meeting participants, were explored in detail. Recent results and progress in the development of new tools will be discussed during the next meeting on the topic, scheduled in 2021.
机译:第三届IAEA关于融合数据处理,验证和分析技术会议,在奥地利维也纳的原子能机构总部,5月28日至31日,并从19个成员国,欧盟委员会和伊斯特组织工作的举办了超过60名科学家和工程师关于数据分析和机器学习(ML)处理融合数据的方法,从实验诊断或从等离子体模拟收集。 '准确的数据处理导致更好地理解与核聚变研究有关的物理学。对于原始测量和处理数据的误差栏的仔细估计是必要的,“D. Mazon(椅子,CEA,法国)在他的介绍性谈话和进展中在会议期间已经显示出来。特别是,会议讨论了以下领域的融合研发应用中的新发展:反演技术,如断层扫描;磁性拓扑重建,如均衡重建;系统识别;缩放法律测定及其从电流机器外推到融合反应器的准确性;基于模型的控制应用算法;使用复杂的数学技术,如神经网络和支持向量机等中的杂散现象或红外图像中的破坏性现象或热点。讨论还专注于潜在地利用这些技术,特别是与第一个ITER等离子体相关。使用集成建模和分析套件(IMAS)基础架构 - 一个方便的平台,允许以相同的格式和合成诊断方式实现可以与该结构耦合的相同格式和合成诊断,以测试由此开发的不同的数学方法会议参与者进行详细探讨。最近的结果和开发新工具的进展将在下次会议上讨论于2021年的主题。

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