giorgiopizz / mkshapesrdf Goto Github PK

With this commit it was added support to the classic Vary function to mRDF.

The problem was that bare RDataFrames do not support the Vary functionality with Snaphot (for reference see this).

By parsing c++ definition strings (expression passed in mRDF.Define) it should be possible to handle variations.

It's important to note that one should first define variations, e.g. JES, and then compute kinematic variables that rely on varied quantities: mjj relies on CleanJet_pt which is varied by JES, so the workflow should be:

1. Define nominal (CleanJet_pt)
2. Define variations (JES)
3. Define other variables (mjj)

This functionality should be tested!

Make a fast matplotlib plotter.
Gist here

Should add support to Latinos mkPlot.py and mkDatacards.py.
One should work with compiled versions of a configuration folder and parse from there:

• samples dict
• aliases dict
• nuisances dict
  and so on.
  One preliminary version can be found here: gist

The tutorial should be composed of two parts, both working with UL 2018v9:

1. Using processor, define two reasonable workflows for a double muon dataset and DY NLO
2. Using shape analysis create another example folder that works with latinos root files (as it is for 2016Real) that makes shapes for the DY CR in the double muon channel