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Top @ 10 TeV Updates on Efficiencies and Event Shapes

Top @ 10 TeV Updates on Efficiencies and Event Shapes. Ken Johns, Venkat Kaushik, Xiaowen Lei (U. Arizona). Introduction. We updated single lepton selection reference tables with event numbers after each cut Mc event weight (either 1 or -1) are taken into account

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Top @ 10 TeV Updates on Efficiencies and Event Shapes

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  1. Top @ 10 TeVUpdates on Efficiencies and Event Shapes Ken Johns, Venkat Kaushik, Xiaowen Lei (U. Arizona)

  2. Introduction • We updated single lepton selection reference tables with event numbers after each cut • Mc event weight (either 1 or -1) are taken into account • Tables are filled for these samples: • Ttbar: 105200 (mcatnlo), 105206 (acermc) • Wenu+Np: 108241, 108242, 108243 • Wmunu+Np: 108244, 108245, 108246 • Problems: • For 105205 sample, we only see dilepton events. Is this a problem with the generation? • We will update the numbers for the background once the new good samples are ready. • On the twiki page • https://twiki.cern.ch/twiki/bin/viewauth/AtlasProtected/TopCSBenchMark#Single_lepton_channel

  3. Cuts from the Spreadsheet • Cut 1 – lepton trigger • EF_e20i or EF_mu20 • Cut 2 – exactly 1 lepton with Pt>20GeV • Cut 3 – MET>20GeV • Cut 4 – 4 good jets with Pt>30GeV • Cut 5 – 3 good jets with Pt>40GeV • Cut 6 – 150<m_jj<190GeV

  4. e+jet Efficiencies • Efficiencies

  5. mu+jet Efficiency • Efficiencies

  6. 10 TeV Top • We made preliminary comparison of 105200 samples and 105206 samples • To be added: detailed generation info • Looked at jet multiplicity, jet pt, and lepton pt spectrum • Results are compartible

  7. Comparison of 105200 and 105206 Jet pt:

  8. Comparison of 105200 and 105206 Jet mulplicity: Lepton pt spectrum:

  9. Comparison of 105200 and 105206 • m(jjj) where jjj == highest vector Pt (e+jets):

  10. Topological Variables • We use 108243/108247 samples for background, instead of using all 108241(2,3)/108245(6,7) samples. • Cuts have higher efficiency on 8243 and 8247, thus we get more statistics, and thus the influence of the “repeated events” is relatively small. • Use events which passed cuts 1-5. • Added masschisq as one of the event shape variables. A total number of 12 variables are currently used. • masschisq = (hadTopMass – TopPDGmass)^2/Sigmajjb^2 + (lepTopMass – TopPDGmass)^2/Sigmalnb^2 + (hadWmass – WPDGmass)^2/Sigmajj^2 • Improved the fits to the template functions.

  11. Topological Variables – e+jets

  12. Topological Variables – e+jets

  13. Topological Variables – e+jets

  14. Topological Variable Fits – e+jets

  15. Topological Variable Fits – e+jets

  16. Topological Variable Fits – e+jets

  17. Topological Likelihood Lt e+jets: mu+jets:

  18. Work in Progress to Optimize Topo Vars • We are comparing the jet pt distributions between sig and bkg, for 1st,2nd,3rd,4th leading jets, to find out what serves as the best combination. • We are also learning from CDF. • Some of the variables are similar (not exactly the same, for example, they use 3 leading jets for most variables instead of 4) • They also use some different variables • Also want to try TMVA package to find the best discrimator. • A simple macro for fitting the ratio is ready. • In the process of preparing simple mixed sample to test the likelihood

  19. Different Topo Variables from CDF

  20. Conclusions • Updated the single-lepton efficiency table • Numbers for the background will be updated as soon as we get bug-fixed samples • Made preliminary comparison between 105200 and 105206 samples • Improved fits and top likelihood • Next will test the likelihood in ratio fitting • Will continue to optimize likelihood • We also would like to study lepton isolation for the trigger • Need additional background samples to increase the statistics

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