Mathematics – Probability
Scientific paper
Sep 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003esasp.535..477f&link_type=abstract
In: Solar variability as an input to the Earth's environment. International Solar Cycle Studies (ISCS) Symposium, 23 - 28 June 2
Mathematics
Probability
2
Sun: Prominences, Filaments, Uv Radiation, Techniques: Image Processing
Scientific paper
Developments to automatically detect and reconstruct in 3D EUV prominences are presented. The primary set of data used are the synoptic images taken by the Extreme-ultraviolet Imaging Telescope (EIT) on board SoHO. The analysis provides characteristics of the reconstructed volumes of EUV prominences for a given Carrington rotation. This is the first step for future case studies of important events and for extracting statistical properties over longer periods, which, given the size of the present EIT archive ranging over more than half of a solar cycle, could provide valuable and complementary studies to the Hα filament studies. The ultimate goal of this work is to give information on the mass loading of prominences, their probability to erupt and an evaluation of the risk for daily monitoring space weather.
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