Save corrected images and optimize output

We give out a "table" of parameters, which we use for a results
document.
The corrected image is saved, so we could also use it for further
processing.
The finalized plot is now saved with a tight bounding box, getting rid
of the copious amounts of white space.
Also display line profile in Gain series

We also display the line profile (along the low res region of the lead
line pattern).
Useful for the report we're writing.
Only show image when it makes sense
Calculate SED and output data to file

We now also calculate the surface entrance dose and output all the info
into a file, which is then subsequently used in the resolution analysis
report (~/EssentialMed/Documents/DemonstratorAnalysis)
Display optimizations
Refactoring to use matplotlib.gridspec

This makes for much easier subplot placement when using a large number
of sub-plots.
This version was used for generating the first version of https://github.com/habi/DemonstratorElectronics/wiki/Gain-vs.-Standard-deviation
Pep8 this thing (and rename variables)
Add more lineprofiles
Merge branch 'yak-shaving'
Adding README for 'Analyis' subfolder
Merge branch 'master' into yak-shaving
Increase landscape.io health

- Replacing "from pylab import *" with "import matplotlib.pylab as plt"
  left over some problems regarding 'plt' and 'numpy'
Fixed whoopsie
Rename color options in beam propagation function