Analyzing Monojet Dark Matter

Purpose of this page

In order to have information about the steps of the analysis centralized, we could write down any significant information, making it up to dated.

How to produce ntuples

How to produce distributions from LHE

Will come soon.

How to do full simulation

Will come soon.

Producing Ntuples from MiniAOD

These are the instruction on how to create Ntuples from MiniAOD via CRAB3.

First, setup the working area (instruction from Chang-Seong):
cmsrel CMSSW_7_4_1
cd CMSSW_7_4_1/src
cmsenv

git cms-merge-topic 9003
rm -rf RecoEgamma/ElectronIdentification/data
git clone https://github.com/cms-data/RecoEgamma-ElectronIdentification.git RecoEgamma/ElectronIdentification/data

rm -rf RecoEgamma/PhotonIdentification/data
git clone https://github.com/cms-data/RecoEgamma-PhotonIdentification.git RecoEgamma/PhotonIdentification/data

Copy directory from Angelo's public are using scp:

assantos@access.sprace.org.br:/home/assantos/Public/DarkMatter/WorkingAread_27Jul2015/MonoXAnalysis/

If wanting to produce Ntuples in signal region (0) or control region (1), edit file MonoXAnalysis/AnalysisStep/plugins/MonoJetTreeMaker.cc selecting

cleanMuonJet=0;      // (1) for Muon control regtion    // (0) for Muon signal regtion
cleanElectronJet=0; // (1) for Electron control regtion // (0) for Electron signal regtion
cleanPhotonJet=0;   // (1) for Photon control regtion  // (0) for Photon signal regtion

Then compile the working area:

scramv1 b -j 10.

Then go to MonoXAnalysis/AnalysisStep/test/ and apply the proper modifications in tree.py and crabConfig.py if running over Data or MC.

Current JSON files are:

Setup CRAB with

source /cvmfs/cms.cern.ch/crab3/crab.sh

and submit jobs with

crab submit -c crabConfig.py.

For further details on how to work with CRAB3, see here.

Samples for Run2 (data, background and signal)

List of samples from Data Run2

The following table contains the list of Data samples (Run2015B-PromptReco-v1), as well as the correspondent number of events and luminosity.

Data Run2 (Run2015B-PromptReco-v1 from DAS) Number of events (from DAS) Luminosity (1/pb)
/MET/Run2015B-PromptReco-v1/MINIAOD 299090 40.215
/DoubleMuon/Run2015B-PromptReco-v1/MINIAOD 1631653 46.337
/SingleMuon/Run2015B-PromptReco-v1/MINIAOD 3633477 46.337
/DoubleEG/Run2015B-PromptReco-v1/MINIAOD 5018488 40.240
/SingleElectron/Run2015B-PromptReco-v1/MINIAOD 2718409 40.240
/SinglePhoton/Run2015B-PromptReco-v1/MINIAOD 737246 40.240

These are the instructions to compute luminosity:

Firstly, run
crab report -d <path_to_your_crab_directory/>

You get a file in lumiSummary.json format inside <path_to_your_crab_directory/results/>. Then, copy file lcr2.py from /afs/cern.ch/user/m/marlow/public/lcr2/ into your lxplus and run

python lcr2.py -i lumiSummary.json

which will show the luminosity for that dataset. For further details, see here.

The following table shows the paths to the Data Ntuples in T2_SPRACE which includes events after the good vertex selection:

  • offlineSlimmedPrimaryVertices
  • !isFake && ndof > 4 && abs(z) < 24 && position.Rho < 2

Path of Ntuple for Data Run2 (Run2015B-PromptReco-v1) in T2_SPRACE Number of events
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/MET_Run2015B.root 137584
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/DoubleMuon_Run2015B.root 1152197
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/SingleMuon_Run2015B.root 2010988
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/DoubleEG_Run2015B.root 4773783
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/SingleElectron_Run2015B.root 2217177
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/SinglePhoton_Run2015B.root 561242

The following table contains the list of Data samples (Run2015B-17Jul2015-v1) INTENDED to be produced in Ntuple format, as well as the correspondent number of events and luminosity. According to MiniAOD Analysis Documentation, this datasets correctly include ETmissing filters. It is important to use the recommendations provided by MET group concerning Spring15 MC and 50 ns about:

Data Run2 (Run2015B-17Jul2015-v1 from DAS) Number of events (from DAS) Luminosity (1/pb)
/MET/Run2015B-17Jul2015-v1/MINIAOD 75938  
/DoubleMuon/Run2015B-17Jul2015-v1/MINIAOD 497402  
/SingleMuon/Run2015B-17Jul2015-v1/MINIAOD 1039658  
/DoubleEG/Run2015B-17Jul2015-v1/MINIAOD 4567275  
/SingleElectron/Run2015B-17Jul2015-v1/MINIAOD 1027225  
/SinglePhoton/Run2015B-17Jul2015-v1/MINIAOD 323203  

List of MC samples for background (Run2 Spring15)

The following table contains the list of MC background samples (Run2 Spring15) with correspondent number of events and cross sections (from different sources). As mentioned in the Exo Diboson twiki page, "If only the lepton decay of the W is included in the sample, the cross section is multiplied by BR(W->lv) = 0.322 with l = e, mu, tau", and the references for cross sections come from:

MC Background Spring15 (from DAS) Number of events (from DAS) Cross Section (pb) from DAS Cross Section (pb) from other reference
/WJetsToLNu_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v1/MINIAODSIM 24089991 60290 61526.7 (NNLO) [1]
/TTJets_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v1/MINIAODSIM 4992231 502.2 502.2 (NNLO) [2]
/ST_t-channel_top_4f_leptonDecays_13TeV-powheg-pythia8_TuneCUETP8M1/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v1/MINIAODSIM 1273800 103.02 136.02*0.322 (NLO) [3]
/ST_t-channel_antitop_4f_leptonDecays_13TeV-powheg-pythia8_TuneCUETP8M1/RunIISpring15DR74-Asympt25ns_MCRUN2_74_V9-v1/MINIAODSIM 1695400 80.95 80.95*0.322 (NLO) [3]
/ST_tW_top_5f_inclusiveDecays_13TeV-powheg-pythia8_TuneCUETP8M1/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v1/MINIAODSIM 998400 38.09 35.6 (NNLO) [3]
/ST_tW_antitop_5f_inclusiveDecays_13TeV-powheg-pythia8_TuneCUETP8M1/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v2/MINIAODSIM 1000000 38.09 35.6 (NNLO) [3]
/WW_TuneCUETP8M1_13TeV-pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v1/MINIAODSIM 989608 63.21 118.7 (NNLO) [1]
/WZ_TuneCUETP8M1_13TeV-pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v2/MINIAODSIM 996920 22.82 66.1 (NLO) [1]
/ZZ_TuneCUETP8M1_13TeV-pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v2/MINIAODSIM 998848 10.32 15.4 (NLO) [1]
/QCD_Pt_120to170_TuneCUETP8M1_13TeV_pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v1/MINIAODSIM 3446207 471100 ---
/QCD_Pt_170to300_TuneCUETP8M1_13TeV_pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v2/MINIAODSIM (Being produced) 3438066 117276 ---
/QCD_Pt_300to470_TuneCUETP8M1_13TeV_pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v1/MINIAODSIM 2930578 7823 ---
/QCD_Pt_470to600_TuneCUETP8M1_13TeV_pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v2/MINIAODSIM (Being produced) 1939229 648.2 ---
/QCD_Pt_600to800_TuneCUETP8M1_13TeV_pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v2/MINIAODSIM (Being produced) 1890256 186.9 ---
/QCD_Pt_800to1000_TuneCUETP8M1_13TeV_pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v2/MINIAODSIM (Being produced) 1911296 32.293 ---
/QCD_Pt_1000to1400_TuneCUETP8M1_13TeV_pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v2/MINIAODSIM (Being produced) 1461216 9.4183 ---
/QCD_Pt_1400to1800_TuneCUETP8M1_13TeV_pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v1/MINIAODSIM 197959 0.84265 ---
/QCD_Pt_1800to2400_TuneCUETP8M1_13TeV_pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v1/MINIAODSIM 194924 0.114943 ---
/QCD_Pt_2400to3200_TuneCUETP8M1_13TeV_pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v1/MINIAODSIM 198383 0.00682981 ---
/QCD_Pt_3200toInf_TuneCUETP8M1_13TeV_pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v1/MINIAODSIM 188696 0.000165445 ---
/DYJetsToLL_M-50_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISpring15DR74-Asympt50ns_MCRUN2_74_V9A-v2/MINIAODSIM 19925500 6104 6025.2 (NNLO) [1]

The following table shows the paths to the MC background Ntuples in T2_SPRACE site which includes events after the good vertex selection:

  • offlineSlimmedPrimaryVertices
  • !isFake && ndof > 4 && abs(z) < 24 && position.Rho < 2

Path of Ntuple for MC Spring15 in T2_SPRACE Number of events
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/WJetsToLNu.root 24089978
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/TTJets.root 4992231
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/ST_t-channel_top_4f_leptonDecays.root 1273800
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/ST_t-channel_antitop_4f_leptonDecays.root 1695400
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/ST_tW_top_5f_inclusiveDecays.root 998400
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/ST_tW_antitop_5f_inclusiveDecays.root 1000000
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/WW.root 989608
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/WZ.root 996920
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/ZZ.root 998847
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/QCD_Pt_120to170.root 3446207
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/QCD_Pt_300to470.root 2930577
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/QCD_Pt_1400to1800.root 197959
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/QCD_Pt_1800to2400.root 194924
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/QCD_Pt_2400to3200.root 198383
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/QCD_Pt_3200toInf.root 188696
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/RunIISamples_25Jul2015/Ntuples_DataMC_27Jul2015/DYJetsToLL_M-50.root 19925488

List of MC samples for background (Phys14)

The following table contains the list of MC background samples (Phys14) with correspondent number of events and cross sections.

MC Background Phy14 (from DAS) Number of events (from DAS) Cross Section (pb) from DAS
/ZJetsToNuNu_HT-100to200_Tune4C_13TeV-madgraph-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 4986424 372.6
/ZJetsToNuNu_HT-200to400_Tune4C_13TeV-madgraph-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 4546470 100.8
/ZJetsToNuNu_HT-400to600_Tune4C_13TeV-madgraph-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v2/MINIAODSIM 4433784 11.99
/ZJetsToNuNu_HT-600toInf_Tune4C_13TeV-madgraph-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 4463806 4.113
/WJetsToLNu_HT-100to200_Tune4C_13TeV-madgraph-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 5262265 1817.0
/WJetsToLNu_HT-200to400_Tune4C_13TeV-madgraph-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 4936077 471.6
/WJetsToLNu_HT-400to600_Tune4C_13TeV-madgraph-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 4640594 55.61
/WJetsToLNu_HT-600toInf_Tune4C_13TeV-madgraph-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 4581841 18.81
/TTJets_MSDecaysCKM_central_Tune4C_13TeV-madgraph-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 25446993 831.76
/TToLeptons_s-channel-CSA14_Tune4C_13TeV-aMCatNLO-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 500000 2.3328
/TToLeptons_t-channel-CSA14_Tune4C_13TeV-aMCatNLO-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 3991000 136.02
/T_tW-channel-DR_Tune4C_13TeV-CSA14-powheg-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 986100 35.6
/TBarToLeptons_s-channel-CSA14_Tune4C_13TeV-aMCatNLO-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 250000 1.34784
/TBarToLeptons_t-channel_Tune4C_CSA14_13TeV-aMCatNLO-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 1999800 26.2278
/Tbar_tW-channel-DR_Tune4C_13TeV-CSA14-powheg-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 971800 35.6
/QCD_HT-100To250_13TeV-madgraph/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 4123612 28730000
/QCD_HT_250To500_13TeV-madgraph/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 971800 670500
/QCD_HT-500To1000_13TeV-madgraph/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 849033 26740.0
/QCD_HT_1000ToInf_13TeV-madgraph/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 333733 769.7
/QCD_HT_250To500_13TeV-madgraph/Phys14DR-PU20bx25_PHYS14_25_V1_ext1-v2/MINIAODSIM 2004219 670500
/QCD_HT-500To1000_13TeV-madgraph/Phys14DR-PU20bx25_PHYS14_25_V1_ext1-v1/MINIAODSIM 3214312 26740.0
/QCD_HT_1000ToInf_13TeV-madgraph/Phys14DR-PU20bx25_PHYS14_25_V1_ext1-v1/MINIAODSIM 1130720 769.7
/DYJetsToLL_M-50_HT-100to200_Tune4C_13TeV-madgraph-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 4054159 194.3
/DYJetsToLL_M-50_HT-200to400_Tune4C_13TeV-madgraph-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 4666496 52.24
/DYJetsToLL_M-50_HT-400to600_Tune4C_13TeV-madgraph-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 4931372 6.546
/DYJetsToLL_M-50_HT-600toInf_Tune4C_13TeV-madgraph-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM 4493574 2.179

The following table shows the paths to the MC background Ntuples in T2_SPRACE site which includes events after the good vertex selection.

Path of Ntuple for MC Phys14 in T2_SPRACE Number of events
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/ZJetsToNuNu_HT-100to200_PHYS14.root 4986410
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/ZJetsToNuNu_HT-200to400_PHYS14.root 4546455
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/ZJetsToNuNu_HT-400to600_PHYS14.root 4433769
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/ZJetsToNuNu_HT-600toInf_PHYS14.root 4463773
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/WJetsToLNu_HT-100to200_PHYS14.root 5262249
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/WJetsToLNu_HT-200to400_PHYS14.root 4936055
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/WJetsToLNu_HT-400to600_PHYS14.root 4640575
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/WJetsToLNu_HT-600toInf_PHYS14.root 4581825
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/TTJets_MSDecaysCKM_centra.root 25446877
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/TToLeptons_s-channel_PHYS14.root 499999
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/TToLeptons_t-channel_PHYS14.root 3990985
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/T_tW-channel-DR_PHYS14.root 986096
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/TBarToLeptons_s-channel_PHYS14.root 250000
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/TBarToLeptons_t-channel_PHYS14.root 1999793
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/Tbar_tW-channel-DR_PHYS14.root 971797
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/QCD_HT-100To250_PHYS14.root 4123591
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/QCD_HT_250to500_PHYS14.root 663953
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/QCD_HT_500to1000_PHYS14.root 849028
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/QCD_HT_1000toInf_PHYS14.root 333732
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/QCD_HT_250to500_ext1_PHYS14.root 2004211
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/QCD_HT_500to1000_ext1_PHYS14.root 3214303
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/QCD_HT_1000toInf_ext1_PHYS14.root 1130715
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/DYJetsToLL_HT-100to200_PHYS14.root 4054144
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/DYJetsToLL_HT-200to400_PHYS14.root 4666479
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/DYJetsToLL_HT-400to600_PHYS14.root 4931352
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/Backgrounds_18Jun2015/DYJetsToLL_HT-600toInf_PHYS14.root 4493550

List of MC samples for signal (i2HDM)

The following table shows the path of MC samples for i2HDM signal in T2_SPRACE, as well as the number of generated events, the number events after the good primary vertex selection, and the cross section. There are samples considering cases of h1h1 and h1h2 DM production.

Path of Ntuple for i2HDM signal in T2_SPRACE Number of generated events (from LHE) Number of events in level of Ntuple Cross Section (pb)
h1h1 DM production
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/I2HDM_13TeV/i2HDM_Ntuples_30Jul2015/i2hdm_BM1_h1h1j_13tev-single_Ntuple.root 50000 50000 0.17
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/I2HDM_13TeV/i2HDM_Ntuples_30Jul2015/i2hdm_BM2_h1h1j_13tev-single_Ntuple.root 50000 50000 0.77
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/I2HDM_13TeV/i2HDM_Ntuples_30Jul2015/i2hdm_BM3_h1h1j_13tev-single_Ntuple.root 50000 50000 0.000043
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/I2HDM_13TeV/i2HDM_Ntuples_30Jul2015/i2hdm_BM4_h1h1j_13tev-single_Ntuple.root 50000 50000 0.00012
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/I2HDM_13TeV/i2HDM_Ntuples_30Jul2015/i2hdm_BM5_h1h1j_13tev-single_Ntuple.root 50000 50000 0.000023
h1h2 DM production
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/I2HDM_13TeV/i2HDM_Ntuples_30Jul2015/i2hdm_BM1_h1h2j_13tev-single_Ntuple.root 50000 50000 0.17
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/I2HDM_13TeV/i2HDM_Ntuples_30Jul2015/i2hdm_BM2_h1h2j_13tev-single_Ntuple.root 50000 50000 0.77
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/I2HDM_13TeV/i2HDM_Ntuples_30Jul2015/i2hdm_BM3_h1h2j_13tev-single_Ntuple.root 50000 50000 0.000043
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/I2HDM_13TeV/i2HDM_Ntuples_30Jul2015/i2hdm_BM4_h1h2j_13tev-single_Ntuple.root 50000 50000 0.00012
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/I2HDM_13TeV/i2HDM_Ntuples_30Jul2015/i2hdm_BM5_h1h2j_13tev-single_Ntuple.root 50000 50000 0.000023

List of MC samples for signal (EFT)

The following table shows the path of MC samples for EFT signal in T2_SPRACE, as well as the number of generated events, the number events after the good primary vertex selection, and the cross section (from Monojet twiki page). These are samples with Axial-Vector and Vector cases.

Path of Ntuple for EFT signal in T2_SPRACE Events in MiniAOD (from DAS) Number of events in level of Ntuple Cross Section (pb)
Axial-Vector
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/EFT_Samples_30Jul2015/Monojet1_M-1_AV_Tune4C_13TeV_PU20bx25_tsg_PHYS14_25_V1.root 194600 194598 9.5695x10-7
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/EFT_Samples_30Jul2015/Monojet2_M-10_AV_Tune4C_13TeV_PU20bx25_tsg_PHYS14_25_V1.root 190400 190399 9.5381x10-7
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/EFT_Samples_30Jul2015/Monojet3_M-100_AV_Tune4C_13TeV_PU20bx25_tsg_PHYS14_25_V1.root 190000 190000 8.0087x10-7
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/EFT_Samples_30Jul2015/Monojet7_M-1000_V_Tune4C_13TeV_PU20bx25_tsg_PHYS14_25_V1.root 194800 194798 4.6629x10-8
Vector
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/EFT_Samples_30Jul2015/Monojet5_M-10_V_Tune4C_13TeV_PU20bx25_tsg_PHYS14_25_V1.root 191800 191799 9.5463x10-7
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/EFT_Samples_30Jul2015/Monojet6_M-100_V_Tune4C_13TeV_PU20bx25_tsg_PHYS14_25_V1.root 189400 189399 9.0451x10-7
/pnfs/sprace.org.br/data/cms/store/user/adesouza/DarkMatter/EFT_Samples_30Jul2015/Monojet7_M-1000_V_Tune4C_13TeV_PU20bx25_tsg_PHYS14_25_V1.root 197200 197198 1.2438x10-7

Kinematic selections

This is the list of the standard Monojet selection applied in the signal region:

  • 1 or 2 jets in the event
  • pT(Jet1) > 110 GeV
    • CH fraction > 0.2
    • NH fraction < 0.7
    • EM fraction < 0.7
    • CEM fraction < 0.99
  • pT(Jet2) > 30 GeV
    • NH fraction < 0.7
    • EM fraction < 0.9
  • ΔΦ(Jet1, Jet2) < 2.5
  • lepton veto
  • photon veto
  • MET > 200 GeV (PF MET with Type-1 corrections)

Kinematic distributions

Here we create distributions from Ntuples

Results from Physics14 samples

These figures were made with Physics14 samples for background while Spring15 samples are not ready. It does not have any selection other than good primary vertex.

Results from Run2 Spring15 samples

See Chang-Seong's presentation in the Monojet meeting on 10/Aug/2015.

Computing limits

As preliminary results, only statistical uncertainties are taken into acccount.

Results from Run2 Spring15 samples

From preliminary results, the following figures show the expected limits using Spring15 MC samples for background. To compute these limits, we use the expected number of events got from page 19 of Chang-Seong's presentation in the Monojet meeting on 10/Aug/2015.

Limits considering EFT Dark Matter model

  • Figure on the letf (right) shows theoretical cross-sections for Axial Vector (Vector) Dark Matter. It is considered Lumi = 40.03 pb-1. It takes into account the standard Monojet selection above, which leads to EFT signal samples with efficiencies from 11 to 14%. EFT signals present very low cross sections, as is showed in the table above. Here is the data card for Axial-Vector with DM mass = 1000 GeV using Lumi = 40.03 pb-1:
imax    1       number of channels
jmax    6       number of backgrounds
kmax    1       number of nuisance parameters
-----------------------------------------------------------------------------------
bin                     results
observation             940
-----------------------------------------------------------------------------------
bin                     results         results         results         results         results         results         results
process                 signal          ZJetsToNuNu     WJetsToLNu      Top             QCD             DYJetsToLL      Diboson
process                 0               1               2               3               4               5               6
rate                    5.95086         436.9           337.1           11              69.7            4.5             11.5
-----------------------------------------------------------------------------------
backgUncert     lnN     -               1.047837        1.0545832       1.301818        1.119799        1.471111        1.294783

  • Now we show the same plots, but including observed limits. Since the signal is not optimized because we are using the standard monojet selections, the number of observed events (940) is higher than the total number of expected events (871), leading to observed limits (30 - 40 pb) higher than the expected median limits (20 - 28 pb).

  • Figure on the letf (right) shows theoretical cross-sections for Axial Vector (Vector) Dark Matter. It is considered Lumi = 5 fb-1. It takes into account the standard Monojet selection above. EFT signal samples have from 11 to 14% of efficiency. As expected, the increasing in luminosity did not bring any significant improvement. Here is the data card for Axial-Vector with DM mass = 1000 GeV using Lumi = 5 fb-1:
imax    1       number of channels
jmax    6       number of backgrounds
kmax    1       number of nuisance parameters
-----------------------------------------------------------------------------------
bin                     results
observation             0
-----------------------------------------------------------------------------------
bin                     results         results         results         results         results         results         results
process                 signal          ZJetsToNuNu     WJetsToLNu      Top             QCD             DYJetsToLL      Diboson
process                 0               1               2               3               4               5               6
rate                    743.3           54571.6         42105.9         1373.97         8705.97         562.078         1436.42
-----------------------------------------------------------------------------------
backgUncert     lnN     -               1.047837        1.0545832       1.301818        1.119799        1.471111        1.294783

  • Figure on the letf (right) shows theoretical cross-sections for Axial Vector (Vector) Dark Matter. It is considered Lumi = 5 fb-1. It takes into account the standard Monojet selection above + ETmissing > 500 GeV. EFT signal samples have from 1.5 to 3% of efficiency. The high ETmissing cut improves the expected limits by 1 order of magnitude. The limits are between 0.3 and 0.6 pb, being compatible with the 0.4 pb found in the Search for New Physics in Monojet Final State (AN-15-072).

Limits considering i2HDM model

  • These figures show limits considering the i2HDM model (with different λ345 for each mass point). It is considered:
    • left figure: Lumi = 40.03 pb-1 and standard Monojet selection, which leads to i2HDM signal samples with efficiencies from 17 to 21% and expected limits around 15 pb;
    • right figure: Lumi = 5 fb-1 and standard Monojet selection + ETmissing > 500 GeV, which leads to i2HDM signal samples with efficiencies from 0.5 to 1.1% and expected limits around 1 pb.

Recent studies about limit calculations is in ThetaLimits.

-- assantos - 2015-07-24

Comments

Topic attachments
I Attachment History Action Size Date Who Comment
PNGpng Results_NoSelection_jetjetdphi.png r1 manage 16.5 K 2015-07-24 - 13:15 UnknownUser dphi jet1 je2 NoSelection
PNGpng Results_NoSelection_nelectrons.png r1 manage 14.7 K 2015-07-24 - 15:47 UnknownUser Number of electrons NoSelection
PNGpng Results_NoSelection_njets.png r1 manage 15.2 K 2015-07-24 - 13:04 UnknownUser njets NoSelection
PNGpng Results_NoSelection_nmuons.png r1 manage 14.6 K 2015-07-24 - 15:47 UnknownUser Number of muons NoSelection
PNGpng Results_NoSelection_nphotons.png r1 manage 14.7 K 2015-07-24 - 15:49 UnknownUser Number of photons NoSelection
PNGpng Results_NoSelection_ntaus.png r1 manage 14.8 K 2015-07-24 - 15:48 UnknownUser Number of taus NoSelection
PNGpng Results_NoSelection_nvtx.png r1 manage 17.5 K 2015-07-24 - 13:16 UnknownUser Vertex multiplicity
PNGpng Results_NoSelection_secondjetEMfrac.png r1 manage 16.7 K 2015-07-24 - 15:46 UnknownUser Jet2 EM fraction NoSelection
PNGpng Results_NoSelection_secondjetNHfrac.png r1 manage 17.6 K 2015-07-24 - 15:46 UnknownUser Jet2 NH fraction NoSelection
PNGpng Results_NoSelection_secondjeteta.png r1 manage 14.7 K 2015-07-24 - 13:14 UnknownUser eta2 NoSelection
PNGpng Results_NoSelection_secondjetmetdphi.png r1 manage 15.9 K 2015-07-24 - 13:17 UnknownUser dphi jet2 met NoSelection
PNGpng Results_NoSelection_secondjetpt.png r1 manage 17.7 K 2015-07-24 - 13:12 UnknownUser pt2 NoSelection
PNGpng Results_NoSelection_signaljetCEMfrac.png r1 manage 17.4 K 2015-07-24 - 15:45 UnknownUser Jet1 CEM fraction NoSelection
PNGpng Results_NoSelection_signaljetCHfrac.png r1 manage 15.6 K 2015-07-24 - 15:43 UnknownUser Jet1 CH fraction NoSelection
PNGpng Results_NoSelection_signaljetEMfrac.png r1 manage 16.6 K 2015-07-24 - 15:44 UnknownUser Jet1 EM fraction NoSelection
PNGpng Results_NoSelection_signaljetNHfrac.png r1 manage 17.6 K 2015-07-24 - 15:44 UnknownUser Jet1 NH fraction NoSelection
PNGpng Results_NoSelection_signaljeteta.png r1 manage 14.7 K 2015-07-24 - 13:13 UnknownUser eta1 NoSelection
PNGpng Results_NoSelection_signaljetmetdphi.png r1 manage 16.8 K 2015-07-24 - 13:17 UnknownUser dphi jet1 met NoSelection
PNGpng Results_NoSelection_signaljetpt.png r1 manage 19.3 K 2015-07-24 - 13:11 UnknownUser pt1 NoSelection
PNGpng Results_NoSelection_t1pfmet.png r1 manage 21.6 K 2015-07-24 - 13:06 UnknownUser MET NoSelection
PNGpng limit_EFT_AV_CS_Data_Spring15_40invpb_13Aug2015.png r1 manage 23.6 K 2015-08-13 - 11:36 UnknownUser limit EFT AV Data Spring15 40 inv pb
PNGpng limit_EFT_AV_CS_Spring15_40invpb_11Aug2015.png r1 manage 25.9 K 2015-08-11 - 18:05 UnknownUser limit EFT AV Spring15 40 inv pb
PNGpng limit_EFT_AV_CS_Spring15_5invfb_11Aug2015.png r1 manage 26.0 K 2015-08-11 - 18:12 UnknownUser limit EFT AV Spring15 5 inv fb
PNGpng limit_EFT_AV_CS_Spring15_5invfb_MET500_12Aug2015.png r1 manage 25.3 K 2015-08-12 - 04:58 UnknownUser limit EFT AV Spring15 5 inv fb MET > 500
PNGpng limit_EFT_V_CS_Data_Spring15_40invpb_13Aug2015.png r1 manage 22.8 K 2015-08-13 - 11:37 UnknownUser limit EFT V Data Spring15 40 inv pb
PNGpng limit_EFT_V_CS_Spring15_40invpb_11Aug2015.png r1 manage 24.7 K 2015-08-11 - 18:09 UnknownUser limit EFT V Spring15 40 inv pb
PNGpng limit_EFT_V_CS_Spring15_5invfb_11Aug2015.png r1 manage 24.7 K 2015-08-11 - 18:13 UnknownUser limit EFT V Spring15 5 inv fb
PNGpng limit_EFT_V_CS_Spring15_5invfb_MET500_12Aug2015.png r1 manage 24.4 K 2015-08-12 - 05:00 UnknownUser limit EFT V Spring15 5 inv fb MET > 500
PNGpng limiti2HDM_CS_Spring15_40invpb_13Aug2015.png r1 manage 23.6 K 2015-08-13 - 14:02 UnknownUser limit i2DHM Spring15 40 inv pb
PNGpng limiti2HDM_CS_Spring15_5invfb_MET500_13Aug2015.png r1 manage 23.5 K 2015-08-13 - 16:51 UnknownUser limit i2HDM Spring15 5 inv fb MET > 500 GeV
Texttxt tree.py.txt r1 manage 6.3 K 2015-07-27 - 15:19 UnknownUser Macro to create Ntuples from MiniAOD
Topic revision: r23 - 2016-03-18 - assantos
 

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