Statistics – Computation
Scientific paper
Apr 1981
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1981stin...8212017p&link_type=abstract
Unknown
Statistics
Computation
Approximation, Computer Programs, Coronagraphs, Electron Density (Concentration), Mapping, Solar Corona, Algorithms, Iteration, Optimization, Resolution, Solar Electrons, Weighting Functions
Scientific paper
An iterative technique was devised in which an approximation of the unknown solar electron density distribution is successively modified to reduce discrepancies with the original data. With the technique the corona can be mapped to a much finer resolution than shown in their previous papers without greatly increasing the computational cost. The series representation of density may now contain more than 23,000 terms compared with the previous limit of 128. This results in a fourfold increase in linear resolution, so that features about a tenth of a solar radius in width are now separate. The iteration algorithm can be adjusted to apply a mathematically optimal correction to a given approximation of the density. Although this correction minimizes noise levels, a cheaper version of the algorithm yields a better result.
Altschuler Martin D.
Perry Michael R.
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