AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866916079518875648 |
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| author | Piana, Michele Benvenuto, Federico Massone, Anna Maria Campi, Cristina Guastavino, Sabrina Marchetti, Francesco Massa, Paolo Perracchione, Emma Volpara, Anna |
| author_facet | Piana, Michele Benvenuto, Federico Massone, Anna Maria Campi, Cristina Guastavino, Sabrina Marchetti, Francesco Massa, Paolo Perracchione, Emma Volpara, Anna |
| contents | AI-FLARES (Artificial Intelligence for the Analysis of Solar Flares Data) is a research project funded by the Agenzia Spaziale Italiana and by the Istituto Nazionale di Astrofisica within the framework of the ``Attività di Studio per la Comunità Scientifica Nazionale Sole, Sistema Solare ed Esopianeti'' program. The topic addressed by this project was the development and use of computational methods for the analysis of remote sensing space data associated to solar flare emission. This paper overviews the main results obtained by the project, with specific focus on solar flare forecasting, reconstruction of morphologies of the flaring sources, and interpretation of acceleration mechanisms triggered by solar flares. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_01104 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data Piana, Michele Benvenuto, Federico Massone, Anna Maria Campi, Cristina Guastavino, Sabrina Marchetti, Francesco Massa, Paolo Perracchione, Emma Volpara, Anna Solar and Stellar Astrophysics Artificial Intelligence 85-04, 68T01 AI-FLARES (Artificial Intelligence for the Analysis of Solar Flares Data) is a research project funded by the Agenzia Spaziale Italiana and by the Istituto Nazionale di Astrofisica within the framework of the ``Attività di Studio per la Comunità Scientifica Nazionale Sole, Sistema Solare ed Esopianeti'' program. The topic addressed by this project was the development and use of computational methods for the analysis of remote sensing space data associated to solar flare emission. This paper overviews the main results obtained by the project, with specific focus on solar flare forecasting, reconstruction of morphologies of the flaring sources, and interpretation of acceleration mechanisms triggered by solar flares. |
| title | AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data |
| topic | Solar and Stellar Astrophysics Artificial Intelligence 85-04, 68T01 |
| url | https://arxiv.org/abs/2401.01104 |