Various implementations

[fgrosa]

This PR implements:

• the possibility to apply pt and multiplicity weights for efficiencies when projecting sparses
• the cut object for the D* in pp@13 TeV
• a script to compute ratios between (non)prompt fractions

[fcatalan92]

@fgrosa, do you need a review of this PR?

[fgrosa]

@fgrosa, do you need a review of this PR?

Ciao @fcatalan92, if you want to check it is always welcome of course, but actually now I was waiting to add systematic uncertainties. I put it in WIP so that we still don't merge it

[fcatalan92]

Hi @fgrosa, in general, the code looks fine. I have only two points:

1. we would need the same implementation for the projection of trees to avoid a feature mismatch;
2. probably the code could be refactored to apply the various weighting independently from each other. Now you are considering different combinations, but in principle, we could simplify the code by applying the different weighting one after another (pt, multiplicity, ...) and by projecting the sparse only at the end.

[fgrosa]

Hi @fgrosa, in general, the code looks fine. I have only two points:

1. we would need the same implementation for the projection of trees to avoid a feature mismatch;

2. probably the code could be refactored to apply the various weighting independently from each other. Now you are considering different combinations, but in principle, we could simplify the code by applying the different weighting one after another (pt, multiplicity, ...) and by projecting the sparse only at the end.

Hi @fcatalan92 thanks! I actually agree with your both comments, I just have no time right now to implement them. If it's ok for you I open an issue to remember it, and then as soon as I have time I will do it (or the efficiency weights, we might want to do a refactory after this other PR #255). In general I would merge this PR after #255 (to avoid @strogolo to resolve conflicts), but I would not wait for the refactory of the weights since the script for the results might be useful to @zhangbiao-phy @xinyepeng for the D0)

[fcatalan92]

@fgrosa Fine for me