NanoHRT-tools

Set up CMSSW

cmsrel CMSSW_9_4_12
cd CMSSW_9_4_12/src
cmsenv

Set up official NanoAOD-tools

git clone https://github.com/cms-nanoAOD/nanoAOD-tools.git PhysicsTools/NanoAODTools

Enable LZ4 compression algo by adding the following line after L47 of $CMSSW_BASE/src/PhysicsTools/NanoAODTools/python/postprocessing/framework/postprocessor.py:

elif algo == "LZ4":  compressionAlgo  = ROOT.ROOT.kLZ4

Get customized NanoAOD tools for HeavyResTagging (NanoHRT-tools)

git clone https://github.com/hqucms/NanoHRT-tools.git PhysicsTools/NanoHRTTools

Compile

scram b -j8

Test

Instructions to run the nanoAOD postprocessor can be found at nanoAOD-tools.

Production

cd PhysicsTools/NanoHRTTools/run

• To make trees for MC performance study:

python runPostProcessing.py /path/of/input /path/to/output --friend -I PhysicsTools.NanoHRTTools.producers.hrtMCTreeProducer hrtMCTree

• To make trees for data/MC comparison and scale factor measurement:

python runHRTTrees.py /eos/uscms/store/user/lpcjme/noreplica/NanoHRT/path/to/input /path/to/output --channel 
[muon|photon|qcd] -n 20 --batch

• the preselection for each channel is coded in runHRTTrees.py
• add --run-data to make data trees
• add --run-syst to make the systematic trees
• the --batch option will submit jobs to condor automatically wihtout confirmation

More options of runPostProcessing.py or runHRTTrees.py (a wrapper of runPostProcessing.py) can be found with python runPostProcessing.py -h or python runHRTTrees.py -h, e.g.,

• To resubmit failed jobs, run the same command but add --resubmit.

• To add cross section weights and merge output trees according to the config file, run the same command but add --post.