DynaSun - Dynamics Of The Solar Corona In The Era Of Data Intensive Observations
Lead Research Organisation:
Northumbria University
Department Name: Fac of Engineering and Environment
Abstract
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 understanding
impulsive 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 which
address 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 expected
economic 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 input
parameters 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;
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 understanding
impulsive 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 which
address 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 expected
economic 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 input
parameters 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;
