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Class for analyzing the 2015/2016 razor ntuples

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RazorAnalyzer

Class for analyzing the 2015 razor ntuples

Setup

cmsrel CMSSW_7_1_5
cd CMSSW_7_1_5/src
git clone https://github.com/RazorCMS/RazorAnalyzer.git
cd RazorAnalyzer
make

Defining a new analysis

  1. Copy analyzers/DummyAnalyzer.cc and replace each instance of "DummyAnalyzer" with the name of your desired analyzer. Modify the body of the Analyze function to define your analyzer's behavior. You do NOT need to write a header file for the analyzer class; the Makefile will generate one for you automatically.

  2. Do make. This will create an executable bin/Run<name of your analyzer>. You can execute your analysis using this program directly or by calling it via the RazorRun script.

Running

After compiling,

./RazorRun <list of input files> <name of your analyzer> <options>

Example: to execute a dummy analysis that does nothing,

./RazorRun lists/TTJets_List_Test.txt DummyAnalyzer

Normalizing the processed ntuples

The NormalizeNtuple macro opens a specified set of files and adds a 'weight' branch to each TTree in each file. The value of 'weight' is the same for all events in a tree and is equal to CrossSection/NEvents, where NEvents is the total number of events processed for the given dataset. The cross sections can be found in the file data/xSections.dat. To run NormalizeNtuple:

./NormalizeNtuple <input file>

See lists/filestonormalize/testTTJets.txt for an example input file to be used with NormalizeNtuple.

Fitting samples and setting limits

The main controller of the fit and limit setting comes from the configuration file, which defines the binning used in the binned fit, the initlial values of the shape parameters, etc.

config/run2_sideband.config

Setup combine from lxplus:

mkdir ~/work/RAZORRUN2/
cd ~/work/RAZORRUN2/
cmsrel CMSSW_7_1_5
cd CMSSW_7_1_5/src/
git clone https://github.com/RazorCMS/HiggsAnalysis-CombinedLimit.git HiggsAnalysis/CombinedLimit
cd HiggsAnalysis/CombinedLimit
git pull origin razor1dpdf_71X
scramv1 b clean; scramv1 b
cd ../..

Proceed with the usual setup of RazorAnalyzer:

git clone https://github.com/RazorCMS/RazorAnalyzer.git
cd RazorAnalyzer
make

Make output directories to make workflow easier

mkdir Datasets
mkdir FitResults; mkdir FitProjections; mkdir cards

Now convert the SM MC ntuples into a SM Cocktail RooDataSet (ignoring the QCD contirbution).

 python python/DustinTuple2RooDataSet.py -c config/run2_sideband.config -b MultiJet -d Datasets/ -w -l 4000 \
 root://eoscms.cern.ch//eos/cms/store/group/phys_susy/razor/Run2Analysis/RazorInclusive/V1p19_ForFullStatus20151030/MC/RazorInclusive_DYJetsToLL_M-50_HTBinned_1pb_weighted.root \
 root://eoscms.cern.ch//eos/cms/store/group/phys_susy/razor/Run2Analysis/RazorInclusive/V1p19_ForFullStatus20151030/MC/RazorInclusive_DYJetsToLL_M-5to50_HTBinned_1pb_weighted.root \
 root://eoscms.cern.ch//eos/cms/store/group/phys_susy/razor/Run2Analysis/RazorInclusive/V1p19_ForFullStatus20151030/MC/RazorInclusive_SingleTop_1pb_weighted.root \
 root://eoscms.cern.ch//eos/cms/store/group/phys_susy/razor/Run2Analysis/RazorInclusive/V1p19_ForFullStatus20151030/MC/RazorInclusive_TTJets_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8_1pb_weighted.root \
 root://eoscms.cern.ch//eos/cms/store/group/phys_susy/razor/Run2Analysis/RazorInclusive/V1p19_ForFullStatus20151030/MC/RazorInclusive_TTV_1pb_weighted.root \
 root://eoscms.cern.ch//eos/cms/store/group/phys_susy/razor/Run2Analysis/RazorInclusive/V1p19_ForFullStatus20151030/MC/RazorInclusive_VV_1pb_weighted.root \
 root://eoscms.cern.ch//eos/cms/store/group/phys_susy/razor/Run2Analysis/RazorInclusive/V1p19_ForFullStatus20151030/MC/RazorInclusive_WJetsToLNu_HTBinned_1pb_weighted.root \
 root://eoscms.cern.ch//eos/cms/store/group/phys_susy/razor/Run2Analysis/RazorInclusive/V1p19_ForFullStatus20151030/MC/RazorInclusive_ZJetsToNuNu_HTBinned_1pb_weighted.root 

Similarly you can run over the data,

 python python/DustinTuple2RooDataSet.py -b MultiJet -c config/run2_sideband.config -d Datasets/ --data -l 1264 root://eoscms.cern.ch//eos/cms/store/group/phys_susy/razor/Run2Analysis/RazorInclusive/V1p20_ForFullStatus20151030/Data/RazorInclusive_HTMHT_Run2015D_Oct05ReMiniAOD_PRv4_GoodLumiGolden.root

To perform the fit on the SM Cocktail,

 python python/BinnedFit.py -b MultiJet -c config/run2_sideband.config -d FitResults -l 4000 Datasets/RazorInclusive_SMCocktail_weighted_lumi-4.000_0-3btag_MultiJet.root

To produce the signal templates,

 python python/SMSTemplates.py -c config/run2_sideband.config -b MultiJet -d Datasets/ -l 4000 root://eoscms.cern.ch//eos/cms/store/group/phys_susy/razor/Run2Analysis/FullRazorInclusive/V1p22_ForPreappFreezing20151106/jobs/combined/SMS-T1bbbb_1500_100.root 

To run Bayesian toys, marginalizing the shape parameters to estimate the systematic uncertainty in each bin, and produce a large number of other 1D fit projections, and the 2D projections in MR and Rsq,

 python python/RunToys.py -b MultiJet -c config/run2_sideband.config -i FitResults/BinnedFitResults_MultiJet.root -d FitResults  -t 10000
 python python/PlotFit.py -b MultiJet -c config/run2_sideband.config -d FitResults -i FitResults/BinnedFitResults_MultiJet.root -t FitResults/toys_Bayes_MultiJet.root

Next, to produce the datacards and run combine, execute the following:

 python python/DustinTuple2RooDataSet.py -b MultiJet -c config/run2_sideband.config -w -l 4000 -d Datasets Signals/RazorInclusive_SMS-T1bbbb_2J_mGl-1500_mLSP-100_1pb_weighted.root
 python python/RunCombine.py -b MultiJet -c config/run2_sideband.config -d cards --lumi-array 4 -m T1bbbb --mGluino 1500 --mLSP 100

To submit jobs to run the limits on the data:

 mkdir ~/work/RAZORRUN2/Limits/
 python python/RunCombineJobs.py -i FitResults/BinnedFitResults.root -c config/run2_sideband.config --data -l 1.264 -m T1bbbb -b MultiJet -d cards/ -q 8nh

After the jobs finish, the output files will be in Limits directory we just created

 cp ~/work/RAZORRUN2/Limits/cards/higgs*.root cards/
 python python/GetCombine.py -m T1bbbb -b MultiJet -c config/run2_sideband.config -d cards/ -l 1.264
 python python/Get2DContour.py -m T1bbbb -b MultiJet  -d cards/ 

To make the final (expected) limit plot, we need to check out a different repository.

 git clone [email protected]:RazorCMS/PlotsSMS
 cd PlotsSMS

Note you have to change the smoothed cross section limit file location in config/SUS15004/T1bbbb_Exp_SUS15004.cfg. Then you can run it,

 python python/makeSMSplots.py config/SUS15004/T1bbbb_Exp_SUS15004.cfg T1bbbbAsymptotic

To make an "unweighted" dataset (not needed for the preceding commands), execute

 python python/RooDataSet2UnweightedDataSet.py -b MultiJet -c config/run2_sideband.config -d Datasets Datasets/RazorAnalysis_SMCocktail_weighted_lumi-4.000_0-3btag_MultiJet.root

To make a .csv file of the yields in the cards directory, run the following command

 python python/WriteDataCard.py -b MultiJet -c config/run2_sideband.config -d cards Datasets/RazorInclusive_SMS-T1bbbb_2J_mGl-1500_mLSP-100_weighted_lumi-4.000_0-3btag_MultiJet.root Datasets/RazorInclusive_SMCocktail_weighted_lumi-3.0_1-3btag_MultiJet.root --print-yields 

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Class for analyzing the 2015/2016 razor ntuples

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