Summary
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 machine-learning 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; improving the public awareness of modern solar and heliophysics, and motivating school students to pursue careers in science.
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 machine-learning 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; improving the public awareness of modern solar and heliophysics, and motivating school students to pursue careers in science.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101131534 |
| Start date: | 01-03-2024 |
| End date: | 29-02-2028 |
| Total budget - Public funding: | - 924 600,00 Euro |
Cordis data
Original description
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 machine-learning 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; improving the public awareness of modern solar and heliophysics, and motivating school students to pursue careers in science.
Status
SIGNEDCall topic
HORIZON-MSCA-2022-SE-01-01Update Date
12-03-2024
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Organisations
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| KATHOLIEKE UNIVERSITEIT LEUVEN (Coördinator)
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| CONSEJO NACIONAL DE INVESTIGACIONES CIENTIFICAS Y TECNICAS (CONICET)
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| JIHOCESKA UNIVERZITA V CESKYCH BUDEJOVICICH
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| MAX PLANCK GESELLSCHAFT ZUR FOERDERUNG DER WISSENSCHAFTEN E.V.
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| THE UNIVERSITY OF WARWICK
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| UNIVERSIDAD NACIONAL DE COLOMBIA
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| UNIVERSITAET GRAZ (UNI GRAZ)
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| UNIVERSITY OF NORTHUMBRIA AT NEWCASTLE