silviodonato / opendatacms2016nanoaod

Code for students in University of Pisa to run a simplified H->4 lepton search using 2016 CMS open data based on NanoAOD format.

OpenDataCMS2016NanoAOD

Code for students in University of Pisa to run a simplified H->4 lepton search using 2016 CMS open data based on NanoAOD format.

Plots

The code python3 example.py will make plots using the input files, lumi, and crosssection defined in example.py. The samples need to be defined also in Samples.py. The histograms are defined in bookHistos() in MyAnalysis.py. The event selection is defined in processEvent() MyAnalysis.py. The input files should be a file (or a symbolic link) with the same name of the samples (eg. ggH.root). The input files are typically skimmed from a larger files, using the following Skim section.

Skim

The code mergeAndSkim.C apply the selection defined in cut, and can used with root -l mergeAndSkim.C++\(\"root://eospublic.cern.ch//eos/opendata/cms/Run2016H/SingleMuon/NANOAOD/UL2016_MiniAODv2_NanoAODv9-v1/70000/388AB3E1-8708-7D42-91BA-83E52373E808.root\"\). To submit multiple jobs in parallel using bsub, use python3 makeScriptAndSubmit.py (makeScriptAndSubmit.py). To resubmit crahsing jobs, please have a look at resbumit.py The input files can be the CMS NanoAOD open data, as described below.

CMS 2016 data and NanoAOD

Link to announcement of 2016 OpenData NanoAOD are ROOT files containing a TTree (named Events) storing variables of the reconstructed objects (eg. Muon_pt). See documentation: Getting started with NanoAOD. The variables are documented here

2016 data

Link to 2016 data available:

• Two "eras" available:
  • Run2016G (run 278820-280385). List of dataset available here.
  • Run2016H (run 280919-284044). List of dataset available here.
• Example: /SingleMuon/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD DOI:10.7483/OPENDATA.CMS.4BUS.64MV :
  • File example: root://eospublic.cern.ch//eos/opendata/cms/Run2016H/SingleMuon/NANOAOD/UL2016_MiniAODv2_NanoAODv9-v1/120000/61FC1E38-F75C-6B44-AD19-A9894155874E.root

Simulation

Link to 2016 simulations available

• Example: GluGluHToZZTo4L_M125_TuneCP5_13TeV_powheg2_JHUGenV7011_pythia8
  • Example file: root://eospublic.cern.ch//eos/opendata/cms/mc/RunIISummer20UL16NanoAODv9/GluGluHToZZTo4L_M125_TuneCP5_13TeV_powheg2_JHUGenV7011_pythia8/NANOAODSIM/106X_mcRun2_asymptotic_v17-v2/260000/6116BC4B-92FF-D24E-99F1-2017BCF6C83A.root

How to access data

You might need to install xrootd-client, or using a docker image, or using cernopendata-client (see below).

Example:

source thisroot.sh ## somewhere
root -l root://eospublic.cern.ch//eos/opendata/cms/derived-data/PFNano/29-Feb-24/SingleMuon/Run2016G-UL2016_MiniAODv2_PFNanoAODv1/240207_205649/0000/nano_data2016_100.root

Events->Scan("run:luminosityBlock:event:nMuon:Muon_pt") ## print event run, lumisection, event number, number of muons in each event, and muon pt
Events->Print("Muon_*") ## check all Muon variable available (with a minimal documentation)
Events->Draw("Muon_pt","Muon_pt<150") ## plot the muon pT distribution

Miscellanea

Docker

Link to the guide:

• gitlab-registry.cern.ch/cms-cloud/root-vnc
• gitlab-registry.cern.ch/cms-cloud/python-vnc
• Example:

[...]

How to compute luminosity:

[Link to the guide] (https://opendata.cern.ch/docs/cms-guide-luminosity-calculation)

• Good data selector (aka GoldenJSON) link )

HLT configuration:

Link to the HLT configuration used - Run 278820, HLTConfiguration_Run278820_cdaq_physics_Run2016_25ns15e33_v3.1.3_HLT_V15, release CMSSW_8_0_17 - where you can find the dataset definition [1] - Run 284044, HLTConfiguration_Run278820_cdaq_physics_Run2016_25ns15e33_v3.1.3_HLT_V15, release CMSSW_8_0_19_patch2 - where you can find the dataset definition [2]

[1]

  SingleMuon = cms.vstring( 'HLT_DoubleIsoMu17_eta2p1_noDzCut_v2',
    'HLT_DoubleIsoMu17_eta2p1_v4',
    'HLT_IsoMu16_eta2p1_MET30_LooseIsoPFTau50_Trk30_eta2p1_v3',
    'HLT_IsoMu16_eta2p1_MET30_v2',
    'HLT_IsoMu17_eta2p1_LooseIsoPFTau20_SingleL1_v6',
    'HLT_IsoMu17_eta2p1_LooseIsoPFTau20_v6',
    'HLT_IsoMu18_v3',
    'HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1_v3',
    'HLT_IsoMu19_eta2p1_LooseIsoPFTau20_v3',
    'HLT_IsoMu19_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg_v3',
    'HLT_IsoMu20_v4',
    'HLT_IsoMu21_eta2p1_LooseIsoPFTau20_SingleL1_v3',
    'HLT_IsoMu21_eta2p1_LooseIsoPFTau50_Trk30_eta2p1_SingleL1_v2',
    'HLT_IsoMu21_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg_v3',
    'HLT_IsoMu22_eta2p1_v2',
    'HLT_IsoMu22_v3',
    'HLT_IsoMu24_v2',
    'HLT_IsoMu27_v5',
    'HLT_IsoTkMu18_v4',
    'HLT_IsoTkMu20_v6',
    'HLT_IsoTkMu22_eta2p1_v3',
    'HLT_IsoTkMu22_v4',
    'HLT_IsoTkMu24_v3',
    'HLT_IsoTkMu27_v6',
    'HLT_L1SingleMu18_v1',
    'HLT_L1SingleMuOpen_v3',
    'HLT_L2Mu10_v2',
    'HLT_Mu10_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT350_PFMETNoMu60_v3',
    'HLT_Mu15_IsoVVVL_BTagCSV_p067_PFHT400_v4',
    'HLT_Mu15_IsoVVVL_PFHT350_PFMET50_v5',
    'HLT_Mu15_IsoVVVL_PFHT350_v5',
    'HLT_Mu15_IsoVVVL_PFHT400_PFMET50_v3',
    'HLT_Mu15_IsoVVVL_PFHT400_v3',
    'HLT_Mu15_IsoVVVL_PFHT600_v6',
    'HLT_Mu16_eta2p1_MET30_v2',
    'HLT_Mu20_v3',
    'HLT_Mu24_eta2p1_v4',
    'HLT_Mu27_v4',
    'HLT_Mu28NoFiltersNoVtx_CentralCaloJet40_v3',
    'HLT_Mu28NoFiltersNoVtx_DisplacedJet40_Loose_v3',
    'HLT_Mu300_v2',
    'HLT_Mu30_eta2p1_PFJet150_PFJet50_v3',
    'HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Loose_v3',
    'HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Tight_v3',
    'HLT_Mu350_v2',
    'HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Loose_v3',
    'HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Tight_v3',
    'HLT_Mu38NoFiltersNoVtx_DisplacedJet60_Loose_v3',
    'HLT_Mu40_eta2p1_PFJet200_PFJet50_v5',
    'HLT_Mu45_eta2p1_v4',
    'HLT_Mu50_IsoVVVL_PFHT400_v3',
    'HLT_Mu50_v4',
    'HLT_Mu55_v3',
    'HLT_Mu8_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT300_PFMETNoMu60_v2',
    'HLT_TkMu20_v4',
    'HLT_TkMu24_eta2p1_v5',
    'HLT_TkMu27_v5',
    'HLT_TkMu50_v3' ),

[2]

  SingleMuon = cms.vstring( 'HLT_DoubleIsoMu17_eta2p1_noDzCut_v5',
    'HLT_IsoMu16_eta2p1_MET30_LooseIsoPFTau50_Trk30_eta2p1_v5',
    'HLT_IsoMu16_eta2p1_MET30_v4',
    'HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1_v5',
    'HLT_IsoMu19_eta2p1_LooseIsoPFTau20_v5',
    'HLT_IsoMu19_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg_v5',
    'HLT_IsoMu20_v6',
    'HLT_IsoMu21_eta2p1_LooseIsoPFTau20_SingleL1_v5',
    'HLT_IsoMu21_eta2p1_LooseIsoPFTau50_Trk30_eta2p1_SingleL1_v4',
    'HLT_IsoMu21_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg_v5',
    'HLT_IsoMu22_eta2p1_v4',
    'HLT_IsoMu22_v5',
    'HLT_IsoMu24_eta2p1_v3',
    'HLT_IsoMu24_v4',
    'HLT_IsoMu27_v7',
    'HLT_IsoTkMu20_v7',
    'HLT_IsoTkMu22_eta2p1_v4',
    'HLT_IsoTkMu22_v5',
    'HLT_IsoTkMu24_eta2p1_v3',
    'HLT_IsoTkMu24_v4',
    'HLT_IsoTkMu27_v7',
    'HLT_L1SingleMu18_v1',
    'HLT_L2Mu10_v3',
    'HLT_Mu10_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT350_PFMETNoMu60_v5',
    'HLT_Mu15_IsoVVVL_BTagCSV_p067_PFHT400_v6',
    'HLT_Mu15_IsoVVVL_PFHT400_PFMET50_v5',
    'HLT_Mu15_IsoVVVL_PFHT400_v5',
    'HLT_Mu15_IsoVVVL_PFHT600_v8',
    'HLT_Mu20_v4',
    'HLT_Mu24_eta2p1_v5',
    'HLT_Mu27_v5',
    'HLT_Mu28NoFiltersNoVtx_CentralCaloJet40_v5',
    'HLT_Mu28NoFiltersNoVtx_DisplacedJet40_Loose_v5',
    'HLT_Mu300_v3',
    'HLT_Mu30_eta2p1_PFJet150_PFJet50_v5',
    'HLT_Mu350_v3',
    'HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Loose_v5',
    'HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Tight_v5',
    'HLT_Mu38NoFiltersNoVtx_DisplacedJet60_Loose_v5',
    'HLT_Mu40_eta2p1_PFJet200_PFJet50_v7',
    'HLT_Mu45_eta2p1_v5',
    'HLT_Mu50_IsoVVVL_PFHT400_v5',
    'HLT_Mu50_v5',
    'HLT_Mu55_v4',
    'HLT_Mu8_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT300_PFMETNoMu60_v4',
    'HLT_TkMu17_v1',
    'HLT_TkMu20_v4',
    'HLT_TkMu24_eta2p1_v5',
    'HLT_TkMu27_v5',
    'HLT_TkMu50_v3' ),