Results collation and processing

[kdund]

Once a set of toyMC runs have been stored, a script or class should be defined to take these (possibly incomplete) outputs, as well as the running script defining the desired computations and store several condensed outputs when applicable:

• Neyman thresholds for different signal hypotheses, stored in a common format.
• Sensitivity
• Collated toyMC results (if requested)
• Sensitivity (bands)
• Discovery test statistic null distribution for discovery significance
• Discovery power curves