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| Titel |
Can high-energy proton events in solar wind be predicted via classification of precursory structures? |
| VerfasserIn |
Sarah Hallerberg, Alexander Ruzmaikin, Joan Feynman |
| Konferenz |
EGU General Assembly 2011
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 13 (2011) |
| Datensatznummer |
250057642
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| Zusammenfassung |
| Shock waves in the solar wind associated with solar coronal mass ejections produce fluxes of
high-energy protons and ions with energies larger than 10 MeV. These fluxes present a danger
to humans and electronic equipment in space, and also endanger passengers of over-pole air
flights. The approaches that have been exploited for the prediction of high-energy
particle events so far consist in training artificial neural networks on catalogues of
events. Our approach towards this task is based on the identification of precursory
structures in the fluxes of particles. In contrast to artificial neural networks that
function as a ”black box” transforming data into predictions, this classification
approach can additionally provide information on relevant precursory events and thus
might help to improve the understanding of underlying mechanisms of particle
acceleration. |
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