NanoAODJMARTools

Tools for using the NANOAOD postprocessing framework for JMAR.

Obtaining JMAR NANOAOD

You should first follow the directions outlined in the NanoAODJMAR repository. This repository assumes the NANOAOD files follow that structure.

JMAR NANOAOD Analysis : With CMSSW

First, set up a new fastjet and fastjet-contrib. You need at least fastjet-3.3.0. This is in /cvmfs/cms.cern.ch/slc6_amd64_gcc630/external/fastjet/3.3.0/ and /cvmfs/cms.cern.ch/slc6_amd64_gcc630/external/fastjet-contrib/1.033/.

Now make a CMSSW working area and get this code:

cmsrel CMSSW_9_4_4
cd CMSSW_9_4_4/src
cmsenv
git clone https://github.com/cms-jet/NanoAODJMARTools.git PhysicsTools/NanoAODJMARTools

You can then use the following XML files to go into $CMSSW_BASE/config/toolbox/$SCRAM_ARCH/tools/selected/

cp $CMSSW_BASE/src/PhysicsTools/NanoAODJMARTools/xmlfiles/* $CMSSW_BASE/config/toolbox/$SCRAM_ARCH/tools/selected/
scram setup fastjet
scram setup fastjet-contrib

Add fastjet to your python path:

setenv PYTHONPATH /uscms_data/d2/rappocc/fastjet/bare/install_330/lib/python2.7/site-packages:$PYTHONPATH

(or export in bash)

Compile and run:

scram b -j 10
cd PhysicsTools/NanoAODJMARTools/test
python postproc_softdrop.py

If you just want the library for the SoftDrop python interface, do this in python (after scram above):

import fastjet
import ROOT

ROOT.gSystem.Load("libPhysicsToolsNanoAODJMARTools.so")
beta=0.0
zcut=0.1
R=0.8
ptmin=200.
sd = ROOT.SoftDropWrapper(beta,zcut, R, ptmin)

#### IN YOUR EVENT LOOP:
        pfCandsVec = ROOT.vector("TLorentzVector")()
        for p in pfCands :
            pfCandsVec.push_back( ROOT.TLorentzVector( p.p4().Px(), p.p4().Py(), p.p4().Pz(), p.p4().E()) )
        sdjets = self.sd.result( pfCandsVec )

JMAR NANOAOD Analysis : Without CMSSW

Coming soon.

Technical details

This assumes you have fastjet 3.3.0, which implements the python front-end to fastjet. The fastjet-contrib packages do not yet have a python implementation, so this is implemented here and here.

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