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TODO

  • Discard the events below the trigger cuts and select only the events $W\to\mu$

  • Study the acceptance for loose, medium and tight cuts (both on identification and isolation)

  • Remove jets that contains the leading muon and impose the cut jet_jetid>0 e jet_puid>0

  • After the cleaning of the jets, order the remaining and take the first 4

  • Compute the acceptance for a cut of 20 and 30 GeV on the fourth jet

Info

Scripts

  • muonPreselectionPlot.cpp (plot of pt/eta of muons)
  • muonSelection.cpp (acceptance of different cuts on muon identification/isolation)
  • BtaggingCuts.cpp (acceptance of cuts on the b tagging probability)
  • saveMuonCuts.cpp (skimming with the choosed cuts)

Muons

Using TTbarSemileptonic_cbOnly.root and TTbarSemileptonic_Nocb.root

Main cuts

Muon from W cut

  • (LHEPart_pdgId[3]==-13 || LHEPart_pdgId[6]==13)

Trigger cuts

  • abs(Muon_eta[0])<2.4

  • Muon_pt[0]>26

Total triggered leading muons: 186533 (184272 for background)

Identification and Isolation

[signal] Cuts Events Fraction (over triggered muons)
Tight (Muon_thightId[0] && Muon_pfIsoId[0]>3) 149597 0.80
Medium (Muon_mediumId[0] && Muon_pfIsoId[0]>2) 156505 0.84
Loose (Muon_looseId[0] && Muon_pfIsoId[0]>1) 160427 0.86
[background] Cuts Events Fraction (over triggered muons)
Tight (Muon_thightId[0] && Muon_pfIsoId[0]>3) 147781 0.80
Medium (Muon_mediumId[0] && Muon_pfIsoId[0]>2) 154455 0.83
Loose (Muon_looseId[0] && Muon_pfIsoId[0]>1) 158387 0.86

From now we will consider only loose muons

Jets

Cuts

  • jet_jetid>0 e jet_puid>0

  • Jet_muonIdx1!=0

[signal] Cut on fourth jet $p_t$ Events Fraction (over loose muons)
20 GeV 133551 0.83
30 GeV 87046 0.54
[background] Cut on fourth jet $p_t$ Events Fraction (over loose muons)
20 GeV 134597 0.84
30 GeV 90403 0.57

Results

In the end, after all this cuts and the remotion of the muon, we choosed to impose a cut on the Leading Jet_btagDeepFlavB

Jet_btagDeepFlavB cut Signal acceptance Background acceptance
Leading >0.2783 (medium) 0.968 (129312) 0.921  (124010)

On the subleading Jet_btagDeepFlavB we choosed to not impose a cut because the efficiencies drop instantly