Do not use the master branch for HPS tau studies, used hps_at_hlt_10X
The master branch is currently compiling in CMSSW_9_4_0
Tau HLT Studies
Current HLT studies require rerunning the HLT menue on trigger studies samples. The code in THRAnalysis/TauHLTStudies is being set up for this purpose. WORK IN PROGRESS.
See where the instructions produce the vast majority of TauHLTStudies/python/rerunningHLT_cfg.py: https://twiki.cern.ch/twiki/bin/view/CMSPublic/SWGuideGlobalHLT#Running_the_HLT_with_CMSSW_9_2_0
This commit has been mentioned as necessary (edit by hand if desired): cms-sw/cmssw#19211 https://github.com/cms-sw/cmssw/pull/19211/commits/b09d26ccc4a41c197255a384398eeee9a41ee897
git cms-addpkg DataFormats/PatCandidates
vi DataFormats/PatCandidates/src/TriggerObjectStandAlone.cc
cd TauHLTStudies
cmsRun python/rerunningHLT_cfg.py
Tau and Electrons and Muons Tag and Probe
Get previous HLT_doubleTau35 work (only necessary if you want to compare to Riccardo's 2016 results)
cd TagAndProbe
source setup.sh
For Elec + Muon triggers: EDAnalyzer is here: TagAndProbe/plugins/DoubleLeptonTAP.cc Run via crab submissions here: TagAndProbe/test/doubleLepTAP_crab_submit.py Then hadd the output files, transport locally Add puWeight terms using: puWeights/addPUReweight.py which is set to use 2016 Moriond17 MC and full 2016 35.9/fb data nTruePU Then make the scalefactor output file and plots using: TagAndProbe/python/plot_doubleLep_efficiencies.py
GenTauAnalysis
cd GenAnalysis
Package used to calculate acceptance values for Z->TauTau analysis
To operate:
- run the analyzer over the DYJets sample file provided
cmsRun python/ConfFile_cfg.py
- add pileup reweighting distribution
cd puWeights
python addPUReweight.py
cd ..
- print out initial and fiducal cut yields for each channel
python printWeights.py
- for detailed efficiency calculations print out file with all events for each channel passing fiducal cuts + another list with passing genMass window. This list will be compared to the events in the final signal region
python genEventInfo.py
- copy over your selected final cut based analysis tree to the main directory here (AcceptanceAnalyzer)
cp .......root .
- compare analysis selected events to the gen selected events and dump results to output file
python recoEventInfo.py > dump.txt
- print results of the above dump. Not sure why I chose this route.
python finalResults.py