Jet Flavor

Working area at cms1

  • ssh cms1
    • cd /cdata/serguei/; cmset; cmsrel CMSSW_9_4_9
    • cd CMSSW_9_4_9; smsenv

Now checkout/build package for https://github.com/CJLST/ZZAnalysis

Getting sample to work with

  • Open voms session ( on a desktop browser need have grid certificate loaded)
    • voms-proxy-init -voms cms
  • Open https://cmsweb.cern.ch/das
  • query example dataset release=CMSSW_9_4* datatype=mc
  • get a file from ttHiggs0PMToGG_M125_13TeV_JHUGenV7011_pythia8 dataset
    • xrdcp root://cms-xrd-global.cern.ch//store/mc/RunIIFall17MiniAODv2/ttHiggs0PMToGG_M125_13TeV_JHUGenV7011_pythia8/MINIAODSIM/PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/00000/0E0FAF14-6183-E811-BC58-FA163EADDDE5.root ./
      • [2.586GB/2.586GB][100%]================================================[46.45MB/s]
    • mv 0E0FAF14-6183-E811-BC58-FA163EADDDE5.root ttHiggs0PMToGG_M125_13TeV_JHUGenV7011_pythia8_miniAOD.root

Reham's suggestion

Dear All,

I added some information about b tagging in our code for 2017, I think it is part of what you need

In file hTozzTo4leptonsCommonRootTree_cfi.py, I used pfDeepCSVJetTags:probb & pfDeepCSVJetTags:probbb in the following lines:

    cSV_bTagLabel1        = cms.string("pfDeepCSVJetTags:probb"),#2017
    cSV_bTagLabel2        = cms.string("pfDeepCSVJetTags:probbb"),#2017

Then in file HZZ4LeptonsCommonRootTree.h I added the value of the two discriminator in lines

    double discrCSV3_1 = btagIter->bDiscriminator(cSV_bTag1_);
    double discrCSV3_2 = btagIter->bDiscriminator(cSV_bTag2_);
    double discrCSV3 = discrCSV3_1 + discrCSV3_2 ;

The value of the working point for b tagging discrimentor => medium working point = 0.4941

Regards Reham

  1. ==================

on behalf of Nicola De Filippis Sent: 17 October 2018 23:45 Subject: Re: jet flavor tags

that can be done with the 2017 analysis and codeā€¦before running on all the samples of data and MC

Nic

@]


Page last modified on October 31, 2018, at 10:54 AM EST

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