Complete Dark Higgs analysis code

[mcremone]

To complete the analysis code:

1. Apply jet/met corrections:

• https://gitlab.cern.ch/mcremone/NanoTrees/blob/master/python/producers/vhTreeProducer.py#L186

2. Lepton selection:

• https://gitlab.cern.ch/mcremone/NanoTrees/blob/master/python/producers/vhTreeProducer.py#L213 (almost done)

3. Define signal/control regions: https://gitlab.cern.ch/mcremone/NanoTrees/blob/master/python/producers/vhTreeProducer.py#L262
4. Gen level matching: https://gitlab.cern.ch/mcremone/NanoTrees/blob/master/python/producers/vhTreeProducer.py#L262
5. Theo corrections:

• Top pt reweight: https://gitlab.cern.ch/mcremone/NanoTrees/blob/master/python/producers/nloWeightProducer.py#L135 (to be checked with Panda)
• V+jets EWK correction: https://gitlab.cern.ch/mcremone/NanoTrees/blob/master/python/producers/nloWeightProducer.py#L143-150
• V+jets QCD corrections: from Panda

6. Lepton ID corrections:

• https://gitlab.cern.ch/mcremone/NanoTrees/blob/master/python/producers/leptonSFProducer.py

7. Photon ID corrections: from Panda
8. Trigger weights: already implemented, from Panda
9. Goodrun list: parse in analysis tools Implement good-run-list from JSON (make sure we can mask a Jagged array with it too) scikit-hep/coffea#22

[mcremone]

This is the working version:
https://github.com/CoffeaTeam/CoffeaGrinder/blob/master/nano_darkhiggs_uproot.py

[mcremone]

@sundleeb

For 7), already implemented. Just compare with what we have in Panda and check if we are missing anything.
For 8), trigger weights already implemented, double check with Panda
For 3), please take care of it.

[mcremone]

@fnavarro94

Take 4), 5, and 6)

[mcremone]

@mcremone I'm gonna take 1), 2), and 9)

[lgray]

@mcremone 1) and 4) are now completely addressed in scikit-hep/coffea#30

There are examples for a bunch of systematics and reweighting now in https://github.com/lgray/dazsle-hbb-columnar.

[areinsvo]

New assignments:
Matteo - 1
Allie - 3
Felipe - 5 (important)

Mostly finished
2 and 4

Not as important
6 - 8