-- JavierBrochero - 2015-09-23

Inclusive ttbar Cross Section in the Single Lepton Channel (Korean Group)

This twiki contains all the information about this analysis.

On this page:
  1. Workflow
  2. Code
  3. Tasks
  4. Additional material

1. Workflow

  1. Flat-ntuple production: It is done using CATTools. the codes are located at:
    1. CATTools/CatAnalyzer/plugins/TtbarSingleLeptonAnalyzer.cc: It contains the basic selection of the objects as electrons, muons, jets, b-tagged jets, etc.
    2. CATTools/CatAnalyzer/prod/ttbarSingleLeptonAnalyzer_cfg.py: Python config file.
    3. CATTools/CatAnalyzer/prod/create-batch: It sends the jobs to condor (tested only in KISTI).
  2. Flat-ntuple analysis: After make the first object selection and save the output in a flat-Trees, the histograms are produced with a code wrote in C++. The code is located in:
    1. https://github.com/brochero/TopCodeljets/blob/master/TreeReader.C
  3. The output of TreeReader.C is divided in two files:
    1. Root file with all the RAW histograms (fully normalized), and
    2. *.h file with all the yields.
  4. Final histograms production: In this step are produced the final plots with all the style requirements. It is located at
    1. https://github.com/brochero/TopCodeljets/blob/master/Plot.*
  5. Yield tables, systematic variations and cross section (C&C): (Work in progress) Using the output from TreeReader.C, a root macro produces the tables of yields and systematic variations in LaTeX format. Code in:
    1. https://github.com/brochero/TopCodeljets/blob/master/*******

2. Code

In this section you will find some general comments about the code. More details can be found in README of each package.

1. Flat-ntuples production

  • Check the TtbarSingleLeptonAnalyzer.cc code. Here you can modify/include basic cuts. The output of this step includes all the events that contain only one lepton passing the selection requirements.
  • Compile with:
    % scram b -j 20
  • Test the code using only one sample. Go to prod directory and run ttbarSingleLeptonAnalyzer_cfg.py
    cmsRun ttbarSingleLeptonAnalyzer_cfg.py

In this config file you should specify if you are running over DATA or MC:

# Data or MC Sample
runOnMC = True
# runOnTTbarMC = 0, No ttbar
# runOnTTbarMC = 1, ttbar Signal
# runOnTTbarMC == 2, ttbar Background
runOnTTbarMC = 1

    • runOnMC: True if the sample is MC; False if is DATA.
    • runOnTTbarMC: 0 all MC except ttbar; 1 ttbar signal; 2 ttbar background.
Comment this part when you are running over MC.# json file

#import FWCore.PythonUtilities.LumiList as LumiList
#process.source.lumisToProcess = LumiList (filename = 'Cert_246908-251883_13TeV_PromptReco_Collisions15_JSON_v2.txt').getVLuminosityBlockRange()

  • Check that the output file has the correct information.

  • Run over the full available samples. This procedure is performed sample by sample running over all the files using the create-batch file.
    ./create-batch --jobName v7-3-6_DataSingleEG_json-Trigger --fileList List_v7-3-6/DataSingleEG_PromptReco-Run251643-251883.list --maxFiles 1 --cfg ttbarSingleLeptonAnalyzer_cfg.py --queue batch6
    Where DataSingleEG _PromptReco-Run251643-251883.list is a plain file which includes the list of all the files of the process (in this case DATA) with the full path as:


2. Histograms production

  • Download the git repository:
    =% git clone https://github.com/brochero/TopCodeljets.git=
  • Check the correct path of all input/output directories.
  • To compile:
    % make
  • It creates a TreeReader.run. You can check the how to use it with
    % ./TreeReader.run -h
  • To run, the most recommended way is
    % ./TreeReader.run -i Tree_LepJets_v7-3-6_Spring15-bx50_40pb-1_WJets -o NewPlots_v0
    • -i: Input file. remove the ".root"
    • -o: additional name to the output
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Topic revision: r3 - 2015-09-23 - JavierBrochero
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