Rename m2005_sfh to m2005 as it does not deal with the star formation
history.

The Marasont 2005 module is modified to use the output of a star
formation history module. The SFH is now a complete SFR vs time tuple
(taken from the SED information dictionary) and the age of the galaxy is
defined by this SFH (the maximum time).
The Maraston 2005 data class is also changed to make the convolution in
such SFH.

Instead of writing all the computation table at once, write one table
per observation as a FITS file.

Use pyfits and save table to fits files as python-vo is not available
on pypi.

Correct dependendy installation.

Correct dependency installation.

Now there is a statistical module and a script to configure and
run the analysis.

We use the probability density function to compute the expected
value and the standard deviation for the parameters.

Switch to the complete formula to compute the probability
associated with the chi-square. This is only useful if the raw
probability has a meaning.

Only useful for debug.

Make the statistical analysis module behave the same way as the SED
creation module so that one can easily develop and use another one.

Create all the outputs in a "out/" directory and don't run the analysis
if it yet exists.

Add the best SED plot and the value vs chi2 plot for each model for each
analysed variable.

s/[Pp]arametre/[Pp]arameter/g
s/[Dd]ictionnary/[Dd]ictionary/g

A list is added to the SED object to store the key names from the info
dictionary whose values are proportional to the galaxy mass.
This is used by the statistical module to multiplicate the value by the
galaxy mass (correction factor) in the analysis.

Dictionary associating to each "output" parameter its description.

Suppress the 'unit' part of the tuple associated to each parametre
in the parametre_list dictionary of the SED modules. It's not
useful. It's better to indicate the unit in the description text.

- Make the list of the analysed variables configurable.
- Compute the weighted average and standard deviation for these
  variables.
- Write the variable analysis results to a file.