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CATSUSY Update on 1-lepton analysis

This document updates the 1-lepton analysis using FullSim datasets completed with Athena 12.0.6.5. Included are details on the Alpgen and Pythia generators for W and Z samples, noting different generator cuts. The analysis includes steps to process leptons and jets with defined cuts, and it describes the execution of multiple analysis steps, calculating Meff, Sphericity, and Transverse Mass. Results from various step cuts and efficiencies are provided, along with links to datasets and efficiency reports.

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CATSUSY Update on 1-lepton analysis

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  1. CATSUSYUpdate on 1-lepton analysis Till

  2. fullSim datasets • fullSim datasets are done with • athena 12.0.6.5 • HPTV/SUSYView groupArea 12.0.7.1 • We have Alpgen and pythia for the W, Z samples • Note, they use different generator cuts ! • All fullSim datasets contain an AtlFast Ttree • Used to compare against “old” 12.0.6.2 atlFast datasets • Stats: • See https://twiki.cern.ch/twiki/bin/view/Atlas/CscNote5Datsets#Full_standard_model_samples

  3. fullSim quick comparisons I

  4. fullSim quick comparisons II

  5. fullSim quick comparisons III

  6. Alpgen, Pythia quick comparisons I

  7. Alpgen, Pythia quick comparisons II

  8. Jet slices in fast (left), full(right)

  9. fullSim analysis, step0 • Running std 1-lepton analysis with the default lepton, jet definitions. • Leptons / Electron : • El_pt > 20000 • |El_eta| < 2.5 • El_etcone20 < 10000 • El_author == [1,3] • El_ElMedium == True (isEM cut) • Leptons / Muon : • Mu_pt > 20000 • |Mu_eta| <2.5 • Mu_etcone20 < 10000 • Mu_author == [1,3] • Mu_matchChi2 < 20 • Mu_fitChi2OverDoF < 5 • Mu_bestMatch == True • Mu_isCombinedMuon == True • Jet : • Jet_C4_pt > 20000 • |Jet_C4_eta| < 5 • All objects are written in doStep0.py into new output root ntuples. • See python/CalcLeptons.py, python/CalcJets.py • doStep0.py also applies loose cuts to decrease ntuple sizes • MET_RefFinal_et > 100 GeV • Good leptons > 0 • Good jets > 1

  10. fullSim analysis, step1, step2 • doStep1.py • Split analysis into • inclusive (>0 good leptons) • Exclusive (==1 good lepton) • Re-calculate variables using ‘good’ objects • Meff (all, four; w., w/o leptons) in python/CalcMeff.py • Sphericity (jets; jets+leptons; jets+lep+met): python/CalcSpher.py • Transverse Mass (lep, met): python/CalcTransMass • Also add variable: Delta_R_Jet_MET with hardest jet, todo: do it for the 4 hardest jets • doStep2.py • Apply std 1-lepton cuts • Jet_N > 3 • Jet_p_T[0] > 100 GeV, Jet_p_T[3] > 50 GeV • Spher > 0.2 • TransMass > 100 GeV • MET_RefFinal_et > 0.2*FourMeff

  11. fullSim analysis results • Efficiencies: • Step0 cuts: http://eifert.web.cern.ch/eifert/susy/fullSim_step0_eff.txt • Step2 exclusive cuts: http://eifert.web.cern.ch/eifert/susy/fullSim_step2Exclusive_eff.txt • Step2 inclusive cuts: http://eifert.web.cern.ch/eifert/susy/fullSim_step2Inclusive_eff.txt • FourMeff plot of bkg + mSugra points

  12. fastSim analysis • Using ‘old’ fastSim backgrounds for the moment • Finished mSugra grid production of 10 missing points • Running old analysis scripts • applying the same cuts as in fullSim • Do not use ‘good’ leptons, jets since some variables missing (could implement the existing cuts, like eta…) • doPreSelection.py, doStdCuts.py

  13. fastSim analysis, preSelection results

  14. First results, w/o optimizing !

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