A.LLebaria
LAS (CNRS)
D.Vibert
LAS (CNRS)
T.Netter
LAS (CNRS)
L.Balard
LAS (CNRS)
P.Lamy
LAS (CNRS)
Empirical and theoretical modeling of the 3-D structures of the solar corona
(streamers, plumes, etc) faces the tremendous
amount of data needed to represent phenomena with a large dynamic scale both
in size and magnitude. A 1000x1000x1000 cube of data of uniform resolution
uses a minimum of 1Go of computer memory.
Octree representation of 3-D coronal electron distributions offers the
right compromise between resolution and size. The S-tree structure allows
for a large dynamic scale, and have been chosen here for the empirical
modeling of coronal structures. It takes advantage from all low resolution
space to keep the size of the useful data manageable. A resolution better
than per axis is obtained with less than 50Mo of file size
(for a complex model), i.e. a compression ratio better than 100.
The paper presents the algorithms used to buid these representations
and the methods used to compute the light scattered by the coronal electrons
and the line-of-sight integration to generate synthetic images projected
onto the plane of the sky. A typical 512x512 image can be obtained in less than
30min from an octree representation, using a standard low cost worksatation with
64 Mo of memory. A high resolution (
per axis) specific electron
distribution can be obtained in less than 4 h with the same processor.