Statistics – Computation
Scientific paper
Feb 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010spie.7533e..25l&link_type=abstract
Computational Imaging VIII. Edited by Bouman, Charles A.; Pollak, Ilya; Wolfe, Patrick J. Proceedings of the SPIE, Volume 7533,
Statistics
Computation
1
Scientific paper
This contribution describes the methods used to accurately disentangle the components observed on a very large series of images of the solar corona. This series consists of 12 years of continuous observations provided by the LASCO/C2 coronagraph aboard SOHO (the SOlar and Heliospheric Observatory). Continuously centred on the Sun, which is masked, the observed images display a blend of many components. The more conspicuous are the K-corona from the coronal plasma, the F-corona from the coronal dust and the instrumental straylight. All of them are optically thin but in the LASCO/C2 field of view only the K-corona is polarized. The set of observations is composed of two huge series of images: the "polarization series" (at least one observation every day) and the "white light series" (more than 50 images every day). The goal is to determine quantitatively the evolution of each image component during the 12 years. Assuming 1) a small and slow temporal evolution for the F-corona and straylight, 2) the 2D regularity of the F-corona and 3) the ability to deduce the influence of the SOHO-Sun distance, the F-corona function is determined from the polarized series and afterwards subtracted of the white light series to obtain the K-corona white light series.
Lamy Philippe
Llebaria Antoine
Loirat J.
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