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VBF H- > ττ- > lept had Electron Channel 10.0.4 Analysis

VBF H- > ττ- > lept had Electron Channel 10.0.4 Analysis. Jaspreet Sidhu 27-10-05. Generation + Simulation – Release 10.0.4 – Rome layout, with TRT simulation Digitization + Reconstruction – Release 10.0.4 – Default reconstruction parameters Electrons, tau’s…, jets

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VBF H- > ττ- > lept had Electron Channel 10.0.4 Analysis

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  1. VBF H->ττ->lept hadElectron Channel10.0.4 Analysis Jaspreet Sidhu 27-10-05

  2. Generation + Simulation – Release 10.0.4 – Rome layout, with TRT simulation Digitization + Reconstruction – Release 10.0.4 – Default reconstruction parameters Electrons, tau’s…, jets – R=0.4 Cone algorithm for jets – AOD objects Data Set - Pythia & Tauola Production H->ττ , VBF mode 20000 Events (after filtering) MH = 115GeV τ-> e , τ-> h (σ x BR) = 390 fb

  3. Electron Filter • Use Single High Pt Electron Filter • No Filter • 1000 events 366 electrons • Filter pt >15GeV || <2.7 126 electrons = 12.6% • 20000 VBF Higgs events (after filtering) • 10.0.4 release for simulation • 10.0.4 for digitization w/o pile-up

  4. Elec ID ( 3 Basic Cuts) cut 1: hasTrack() & pT >20GeV cut 2 : egamma object Comparison of 3 ElecID cuts at Cut 3 cut 3a : isEM ==0 (using all the flags including TRT) cut 3b: epiNN >0.8 cut 3c: likelihood > 0.8 Stronger Elec ID cuts cut 4: Et cone<10GeV in R=0.45 cut 5: 0.8 < E/p <1.4 Full simulation Elec ID

  5. Electron Reconstruction Efficiency

  6. Stronger Elec ID Cuts EoverP EtCone Higgs Dijets

  7. Harder Cuts: Isolation and E/p

  8. isEM Pt Eta After Hard Elec Cuts

  9. epiNN Pt Eta After Hard Elec Cuts

  10. Likelihood Eta Pt After Hard Elec Cuts

  11. Dijet Rejection – Best algorithm:isEM (refer to Saminder’s Work)- Using isEM rather than likelihood as the 3rd level cut only reduces Electron Identification by 3.3%. - By using Harder ElecID cuts can reject 87% of background

  12. Taujet Identification • Taujet is essentially a narrow jet in the detector • Taujet Id Cuts cut 1: abs(charge)==1 cut 2: NumTrack ==1 or 3 cut 3: likelihood > 4 cut 4: pt >40 GeV

  13. Taujet Reconstruction Efficiency

  14. Taujets Eta Pt After Cut 3 After Cut 4

  15. Higgs Reconstruction • Use Identified Electrons and Taujets and reconstruct the Invariant Mass of the Tau System • Use Collinear Approximation Using the missing transverse momentum and assuming Tau decay products are collinear with original Tau, solve 2 linear equations for missing neutrinos, can reconstruct the Tau’s and hence the Invariant mass of the whole system(Higgs Mass)

  16. Higgs Reconstruction • Reconstruct 6062 events • Efficiency of Reconstruction = 30.31% • Mean =106.2Gev • =14.9 Gev

  17. Higgs Reconstruction (with hard elecid cuts) • Reconstructed 6062 events • Efficiency of Reconstruction  = 24.7% • Efficiency drop = 5.6% • Mean =106.2Gev •  =14.7 Gev

  18. 6 Fake Higgs reconstructed from 201,700 events Fake rate  = 0.0029% With Hard Electron cuts 2 Fake Higgs Reject 66.7% fake higgs 2 Fake Higgs Fake Higgs

  19. Summary • Electron Identification Efficiency ( =69.5%) • With Harder Cuts ( =55.8%) • Dijet Rejection ( Can Reject 87% of electrons) • Tau Identification Efficiency ( =30.5%) • Higgs Reconstruction Efficiency ( =30.31%) • With Harder Elec Id Cuts ( =24.7%) • 6 Fake Higgs ( =0.0029%) • With Harder Elec Id Cuts (Can reject 66.7% ) • Next Step : Reconstruction with pile up and Trigger simulation

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