1 / 25

W( → eν)+jets

W( → eν)+jets. Kira Grogg UW-Madison 05 August, 2009. Action Items. Maximum likelihood fit to W transverse mass Still learning how to do fits with Minuit Comparison of my events numbers to those in W inclusive Showing Wenu and Tauola ttbar Need to rerun on QCDs Using HLT_Ele15_LW_L1R

theo
Télécharger la présentation

W( → eν)+jets

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. W(→eν)+jets Kira Grogg UW-Madison 05 August, 2009 K. Grogg, UW-Madison

  2. Action Items • Maximum likelihood fit to W transverse mass • Still learning how to do fits with Minuit • Comparison of my events numbers to those in W inclusive • Showing Wenu and Tauola ttbar • Need to rerun on QCDs • Using HLT_Ele15_LW_L1R • Plots of reconstructed tops • V+jets meeting • Strategies for selecting >=n jet events? • Strategies for minimizing systematic effects? K. Grogg, UW-Madison

  3. W Event number comparisons All numbers are weighted to 100 pb-1 Sample is Wenu Summer08 V11 Added HLT matching – Selecting highest pT electron that match HLT object There is a ~ 0.1% difference in event number K. Grogg, UW-Madison

  4. Ttbar Event number comparisons All numbers are weighted to 100 pb-1 Sample is TauolaTTbar Summer08 V11 Added HLT matching – Selecting highest pT electron that match HLT object There is a 2.5% difference in event count after the electron pT and eta cuts Adding the isolation and ID requirements corrects this difference K. Grogg, UW-Madison

  5. Iso and ID plots/cuts Isolation with MET cut Isolation with W mT cut SumIsos SumIsos MET with isolation cut W mT with isolation cut K. Grogg, UW-Madison

  6. MET & W mT for ≥ 1 jet QCD events Little correlation Some correlation at low mT Isolated electrons Anti-isolated electrons MET W mT K. Grogg, UW-Madison

  7. MET & W mT vs Isosum Profiles for ≥ 1 jet QCD events SumIsos SumIsos Some correlation MET mT MET mT SumIsos SumIsos K. Grogg, UW-Madison

  8. MET and W mT vs Isolation for ≥ 1 jet events MET mT W events W events SumIsos SumIsos MET mT QCD events QCD events A C B D SumIsos SumIsos K. Grogg - UW-Madison

  9. MET and W mT vs Isolation for ≥ 1 jet events, Numbers MET mT A C A C NA = NC B D B D NB = ND SumIsos SumIsos SumIsos MET vs Iso for QCD W mT vs Iso for QCD (NB * NC)/ND = 44114 =? NA (NB * NC)/ND = 12328 =? NA NA = 33307 NB = 313473 NC = 921498 ND = 6.54x106 NA = 23716 NB = 323064 NC = 274468 ND= 7.19x106 K. Grogg - UW-Madison

  10. Reconstructing Tops • W events • Ttbar events Preliminary K. Grogg, UW-Madison

  11. Reconstructing Tops Preliminary W events Ttbar events K. Grogg, UW-Madison

  12. Sum of reconstructed top pT • Tops reconstructed using • Electron, met and closest jet to electron • Other three jets in event • Plot is sum of the two tops pT K. Grogg, UW-Madison

  13. W transverse mass W events Ttbar events K. Grogg, UW-Madison

  14. Conclusions/Next steps • Event number comparisons are closer but not exact • Possible different method of selecting electron candidate • ABCD method did not work easily for Δφin &Δηin vs isolation • There is correlation between variables • Trying ABCD method with MET vs Iso and mT vs Iso • Better numbers NA / NB ~ NC / ND • Currently working on: • Verifying heavy flavor QCD and photon+jets backgrounds • Background estimation and subtraction methods • ABCD method • Fitting W transverse mass • Finalizing even number comparisons K. Grogg, UW-Madison

  15. Backup K. Grogg, UW-Madison

  16. Signal + Background Samples • W+jets • Cross section 40 nb-1 • /Wjets/Summer08_IDEAL_V11_redigi_v1/GEN-SIM-RECO • QCD • Cross section X-Y - 20-30: 0.40 mb-1, 30-80: 0.10 mb-1, 80-170: 1.9*103 mb-1 • /QCD_Emenriched_PtXtoY/Summer08 _IDEAL_V11_redigi_v2/GEN-SIM-RECO • Z+jets • Cross section 3.7 nb-1 • /ZJets/Summer08_IDEAL_V11_redigi_v1/GEN-SIM-RECO • Ttbar+jets • Cross section 353 pb-1 • /TauolaTTbar/Summer08_IDEAL_V11_redigi_v2/GEN-SIM-RECO • Using PAT and Particle Flow with CMSSW_2_2_13 K. Grogg, UW-Madison

  17. MET for 1, 2, 3, 4+ jet events Backgrounds are stacked Red line is stack of S+B MET, 1 reco jet MET, 2 reco jets Selection applied: Electron |η| < 2.4 Electron pT > 20 GeV V11 tuned ID cuts RelCombIso < 0.1 MET, 3 reco jets MET, 4 reco jets K. Grogg, UW-Madison

  18. MET for 1, 2, 3, 4+ jet events Backgrounds are stacked Red line is stack of S+B MET, 1 reco jet MET, 2 reco jets Selection applied: Electron |η| < 2.4 Electron pT > 20 GeV V11 tuned ID cuts RelCombIso < 0.1 MET, 3 reco jets MET, 4 reco jets K. Grogg, UW-Madison

  19. W mT for 1, 2, 3, 4+ jet events W mT, 1 reco jet W mT, 2 reco jets Backgrounds are stacked Red line is stack of S+B Selection applied: Electron |η| < 2.4 Electron pT > 20 GeV V11 tuned ID cuts RelCombIso < 0.1 W mT, 3 reco jets W mT, 4 reco jets K. Grogg, UW-Madison

  20. W mT for 1, 2, 3, 4+ jet events Backgrounds are stacked Red line is stack of S+B W mT, 1 reco jet W mT, 2 reco jets Selection applied: Electron |η| < 2.4 Electron pT > 20 GeV V11 tuned ID cuts RelCombIso < 0.1 W mT, 3 reco jets W mT, 4 reco jets K. Grogg, UW-Madison

  21. W pT for 1, 2, 3, 4+ jet events Backgrounds are stacked Red line is stack of S+B W pT, 1 reco jet W pT, 2 reco jets Selection applied: Electron |η| < 2.4 Electron pT > 20 GeV V11 tuned ID cuts RelCombIso < 0.1 55 < mT < 105 W pT, 3 reco jets W pT, 4 reco jets K. Grogg, UW-Madison

  22. W pT for 1, 2, 3, 4+ jet events Backgrounds are stacked Red line is stack of S+B W pT, 1 reco jet W pT, 2 reco jets Selection applied: Electron |η| < 2.4 Electron pT > 20 GeV V11 tuned ID cuts RelCombIso < 0.1 55 < mT < 105 W pT, 3 reco jets W pT, 4 reco jets K. Grogg, UW-Madison

  23. Leading Jet pT for 1, 2, 3, 4+ jet events Backgrounds are stacked Red line is stack of S+B Leading jet pT, 1 reco jet Leading jet pT, 2 reco jets Selection applied: Electron |η| < 2.4 Electron pT > 20 GeV V11 tuned ID cuts RelCombIso < 0.1 55 < mT < 105 Leading jet pT, 3 reco jets Leading jet pT, 4 reco jets K. Grogg, UW-Madison

  24. Leading Jet pT for 1, 2, 3, 4+ jet events Backgrounds are stacked Red line is stack of S+B Leading jet pT, 1 reco jet Leading jet pT, 2 reco jets Selection applied: Electron |η| < 2.4 Electron pT > 20 GeV V11 tuned ID cuts RelCombIso < 0.1 55 < mT < 105 Leading jet pT, 3 reco jets Leading jet pT, 4 reco jets K. Grogg, UW-Madison

  25. Electron Efficiency Electron Reconstruction Efficiency Electron Reconstruction + ID Efficiency K. Grogg, UW-Madison

More Related