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Cross section measurement in the dilepton channel. Status Sep 2007 Duc Bao Ta, Markus Cristinziani University of Bonn. Samples v12. 5200 ttbar (dilepton, e,µ, t ) Using TopView 00-12-13, with 1mmfix 5200 ttbar lepton+jets 5144-5146 Z->ll Pythia 5985, 5986, 5987, WW, ZZ, WZ Herwig
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Cross section measurement in the dilepton channel Status Sep 2007 Duc Bao Ta, Markus Cristinziani University of Bonn
Samples v12 • 5200 ttbar (dilepton, e,µ,t) • Using TopView 00-12-13, with 1mmfix • 5200 ttbar lepton+jets • 5144-5146 Z->ll Pythia • 5985, 5986, 5987, WW, ZZ, WZ Herwig • Interesting samples, but statistics very low (after cuts): • W+Jets: 8240-8251 • QCD: 5061-5064
Cut analysis • Preselection cuts: • Two isolated, opposite charged leptons pT>20 GeV • Two Jets, no b-tagging • |h|<2.5 for all visible objects • tight electrons removed between 1.35<||<1.65 (tile gap bug) • tight muons removed ||<0.1 and 1.0<||<1.3 (adopted according to Jorgen’s selection for comparison) • Comparison with Jorgen’s pre-selection ongoing (also in contact with dilepton top mass measurement selection)
Updated numbers for cut analysis: • Cuts for best ratio: • Pre-selection cuts for all object already enough • Muon overlap (DR<0.4) with jets removed if log (|DpT(Jet,µ)|/pT(µ))>1 • Same lepton channels: • Veto on M(ll) 85-95GeV • ee: • ET,Miss>35 GeV • eµ: • ET,Miss>20 GeV • µµ: • ET,Miss>35 GeV
Cut analysis ee eµ Events Events Number of Jets Number of Jets @ 100pb-1 Cut on all other jets: 20 GeV µµ Events Number of Jets
Numbers • Small changes with the additional h cuts • Absolut numbers for background low
Ensemble tests • With preselection cuts only, for all subchannels: • Tested with different S/B and number of sig events • First fit to curve gives, averaged over all S/B • Dsigrel(nsig)=exp(a) nsig-b, with a 0.32±0.02 and b =0.483±0.002 • relative error almost sqrt(n) behaviour
Likelihood method • Using a likelihood -> cross section measurement • pdf variables: • |Df| Lepton0 MET, |Df| Lepton1 MET, |Df| Jet0 MET, |S cos q| Leptons -> |Sh| Leptons, (|Df| Leptons) Example: |Df| Jet0 MET sig bkg Normalized pdf-fit S/B 5:1 mix and random data From pdfs sig bkg
Emsembles test with real cuts, diffucult due to low statistics after cuts: • No cut • µµ channel • µµ channelMET>35GeV • Trying new approach with binned likelihood fit with TFractionFitter • Or use ATLFAST samples when available and validated Example: |Df| Jet0 MET bkg sig
Perspective for 10pb-1, 100pb-1 and 1000pb-1 • For cut analysis: rough estimate of statistical errors with all channels (precuts and MET>30GeV): • Simple approach, take errors from above: • ignoring trigger efficiencies and error on theoretical x-section
Perspective for 10pb-1, 100pb-1 and 1000pb-1 • For likelihood analysis evaluate fit to „relative error vs. number of signal events“ • calculate expected number from cut analysis • No errors on fitted pdfs • For both estimations no systematic errors evaluated so far, result show statistical power of the methods
Both analysis give low statistical error, so most important to evaluate systematics • Cut analysis also limited by error on background numbers
Summary and Outlook • Comparison of pre-selection with other groups ongoing • Cut analysis and likelihood method give already satisfactory statistical errors • More statistics is necessary for both analysis (ATLFAST) • Switch and/or try binned likelihood fit • Evaluate systematic errors: • Vary cuts and jet energies