Llr optimizer initial

Hi Sebastian,

This is my latest pull request, which includes the initial code for the LLR Optimizer analysis. I have also updated Steve's template.py code, by taking the approach you suggested-grab his template.py from his repo and incorporate all the suggestions that I commented on myself. I also have tried to upload all data and input files, so if there are any missing, please let me know! The only thing really missing from the optimizer analysis code right now is the implementation of a few additional systematics, as well as adding the priors on the parameters that we do not wish to constrain.
Hm - I don't see why you first (when passing `*args` to this function) you disassemble all parameters, and here you reassemble them? Why can you not just pass a `params` dict here? Instead, I suggest you just pass a normal `params` dict here as it is in the settings file, with names, scales, priors and everything. There might be an issue with keeping this dict sorted, but that can be enforced.