Add explanation notebook for esmeralda

[mmkekic]

This notebook demonstrates output of esmeralda, focused on paolina tracks

[jahernando]

Dear Marija,

The NB is quite illustrative and does a good fraction of the energy scale calibration and blob ID efficiency analyses.

Some comments:

1. We should try to follow the policy that the NB cells should be mostly call to functions. In this sense. I will propose to move some of the code in the cells to modules. For example, a module ana_esmeralda.py, to locate filtering, and energy functions in a RoI, and some nice plotting and legends on the e-resolution histograms. In the NB calls should be a minimal number of operations and mostly call to these functions.

2. I will say that maybe we need at least 3 NBs.

   2.a) One NB for the energy scale, the energy fits and finally the energy scale function, and how linear it is. Some final resolution of the relevant peaks as a result

   2.b) One NB for blob ID. (resume the energy calibration function in one function). The energy blob1 (blob2) distribution and energy blob1 (blob2) vs E. And the E blob2 (b lob2) distribution int he RoI and in the side-bands of the RoI. Here it will be nice to provide a FoM for example the number of events with 2-e vs 1-e in the RoI of the Tl-double escape peak. Most of this is already in the current NB.

   3.b) A control NB of Esmeralda. It would contain a plot with the efficiency vs the esmeralda cuts (include a final one of 1 track only). And the distribution of all (or most) of the variables in the different DF of the Esmeralda output.