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Trigger efficiency with UED SS dimuon events

This overview examines the trigger efficiency associated with Universal Extra Dimensions (UED) SS dimuon events, focusing on the key aspects of trigger studies and their implications for signal detection. It highlights the UED model and its predictions relevant to pair production at LHC energies, emphasizing muon PT distributions and the performance of various trigger paths (leptonic and hadronic). The analysis indicates an efficiency of approximately 80% for leading and next-to-leading muons, offering promising avenues for offline selection strategies and background suppression.

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Trigger efficiency with UED SS dimuon events

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  1. Trigger efficiency with UED SS dimuon events F. Marinho

  2. Overview • UED Modelreminder • Motivation for triggerstudies • Trigger efficiency vs muon PT • Trigger Paths (Leptonic & Hadronic) • Background

  3. The UED model • Allparticles are allowed to propagate in the extra dimension • KK numberconservation UED pairproductionand LKP • Predictstheproductionofthe N=1 modesat LHC energies • Interestingphenomenology. In some aspects similar to SUSY models

  4. ThemUEDmodel Ecm = 7 TeV • Parameters: 1/R,  • HighXSectionvaluesdependon 1/R • PT distributions in thelow GeV range • Triggerstrategyshouldnotcutthosemuons Reconstructed

  5. Data sets • Used CMSSW_3_3_6: Fastsimulationwithstartup setup + trigger • EventsgeneratedwithPythiaonly • UED ssdimuons: 1/R: 300, 500, 700, 900, 1100 ~35000 events per point • ttbar inclusive events225000 events

  6. MuonReconstruction • Reconstructionefficiency as a functionof PT • Muonsatlow range are alreadysuppressed in thereconstruction Muonrequirements: Prompt, Global, MC matched • Triggeralgorithmsshouldnotincreasetheseeffectsabove7GeV

  7. TriggerEfficiency • Throughoutthistalk: • Only Global Muons are used • Trigger denotes theHLT trigger path used • Efficienciesevaluated for leadingandnext to leadingmuons • Bothmuonsreconstructed: 80% ofsignalkept

  8. SingleMuon Paths • HLT Paths highlyefficient for signal • Low PT range notsignificantlyaffectedbytriggercutsup to 5 GeV • PT cutsshouldbe< 7GeV keepingefficiencyabove 80% for thenext to leadingmuon

  9. Dimuon Paths • Highefficiency paths for signal • Dimuon paths have similar effectsonleadingandnext to leadingmuons

  10. MET Paths • Signaleventswithdistinct MET signature • Twolightestparticles • Muonsdistributions are notdistorted

  11. Jet Paths • Signaleventswithdistinct Jet+MET signature • Almostalleventswereaccepted • Muondistributions are recovered • Jet cuts are veryloose in these HLT Paths • More interesting to cutonnumberofjets (offline)

  12. Background ttbar • 5%ofeventswith SS dimuon • Suppressiondue to RECandcharge requirement • Lead muonsfromW’sandb’s • Next to lead muonsfromhadronic • No isolationorothercuts are applied

  13. ttbar - Muon Paths • Distributions similar to signal • Butefficiencies are lower

  14. ttbar – Dimuon Paths • Similar distributions • Lowerplateaus

  15. ttbar – MET Paths • Low PTcorrelation • Good path for robustnesscheck? • Background highlysuppressed • Use as offlineselectionvariable

  16. ttbar - Jet Paths • No PTcorrelation • Good path for robustnesscheck? • Backgroundpartiallysuppressed • Use as offlineselectionvariable

  17. Summary • SS dimuonanalysispromisingalreadyat startup possible to scratchcurrent1/Rlowerlimit • Avoidacceptanceeffects for muondistributionsatleastonofflinelevel • Muontriggers for startup data employed. • Considerhadronic Paths for robustnesspurposes. • MET andJets are interesting as offlineselectionvariables.

  18. Next • Offlineselection • Improve background studies • Determine yieldsat 7 TeV • Yieldsvsmodelparameters • Sameexercise for otherleptons (anyoneinterested???)

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