DynaSun - Dynamics Of The Solar Corona In The Era Of Data Intensive Observations

该提案的目的是在几个主要的欧洲和南美研究团队之间建立密切的研究合作，专门研究太阳物理学；通过系统的研究人员和知识交流以及利用现有数据和设施的联合研究工作，包括基于机器学习方法的创新数据分析技术，获得关于太阳大气动态过程的新的、改变范式的知识。预期的科学影响是我们对太阳大气中关键物理过程知识的重大发展，包括揭示日冕加热机制的突破，我们对脉冲能量实现（如太阳耀斑和日冕物质抛射）的理解的革命性进展，MHD波理论的重大发展，以及机器学习技术在太阳大气波过程研究中的首次应用。该项目包括解决现代太阳物理学和太阳物理学特定关键挑战的四个科学工作包：太阳耀斑的准周期脉动、太阳大气的加热和日冕物质抛射的大尺度和精细尺度演化，以及一个通信和传播工作包。预期的经济和技术影响包括获得复杂振荡过程分析的第一手经验，设计和应用机器学习技术进行模式识别的经验，空间天气预报模型输入参数的新诊断技术，为与当地行业的知识交流创造基础，以及培养数值建模和数据分析方面的高技能专家。预期的社会影响正在加强欧洲和美国研究界之间的研究联系；

The aim of this proposal is to establish close research collaboration between several leading European and South American research teams specialising in solar physics; and gain new, paradigm-changing knowledge about dynamic processes in the solar atmosphere, through the systematic research staff and knowledge exchange and joint research efforts exploiting existing data and facilities, including innovative data analysis techniques based on the machine-learning approach.The expected scientific impact is a major development of our knowledge of the key physical processes operating in the solar atmosphere, including breakthroughs in revealing the coronal heating mechanism, transformative progress in our understandingimpulsive energy realises such as solar flares and CMEs, major development of MHD wave theory, and first application of machinelearning techniques in the study of solar atmospheric wave processes. The project includes four scientific work packages whichaddress specific key challenges of modern solar physics and heliophysics: quasi-periodic pulsations in solar flares, heating of the solar atmosphere, and large and fine scale evolution of CMEs, and a communication and dissemination work package. The expectedeconomic and technological impacts include gaining first-hand experience in the analysis of complex oscillatory processes, experience in designing and applying machine-learning techniques for pattern recognition, novel diagnostic techniques of inputparameters for space weather forecasting models, creating a ground for knowledge exchange with local industries, and production of highly-skilful specialists in numerical modelling and data analysis. The expected societal impact is strengthening the research links between the European and S. American research communities;