Status of RPC trigger analysis and Muon Trigger efficiencies for W-> μν study

1. Status of RPC trigger analysis and Muon Trigger efficiencies for W->μνstudy By Archana Sharma, Suman B. Beri Panjab University Chandigarh India-CMS Meeting March,2009

2. RPC Trigger Analysis • Muon trigger is organized into subsystems representing three different muon detector systems, DT trigger in barrel, CSC trigger in endcap and RPC trigger covering both barrel & endcap upto η = 2.1. • DT & CSC electronics first process information from each chamber locally, called local triggers. Upto four best (highest pt & quality) muons are selected & sent to GMT. • In RPC there is no local processing . RPC muon sorter selects 4 highest pt muons from barrel & 4 from endcap and send them to GMT, which after comparing all muons & send 4 high pt muons to Global Trigger.

3. Muon Trigger Data Flow

4. We want to extract trigger/reconstruction efficiencies for RPC in general directly from data. • There are two ways of doing this. 1) Determination of RPC efficiencies with respect to DT/CSC. 2) Determining the sources of correlation between DT/CSC verses RPC. There are three sources of correlation : • Global Muon Trigger • Geometry • Timing CMSSW version : CMSSW_2_1_8 Sample : Wmunu/Summer08_IDEAL_V9_v1/GEN-SIM-RECO

5. Some Plots

13. Efficiency of RPC barrel with DT and with trigger Emulator RPC Eff with trigger emulator RPC Eff with DT

14. Efficiency of RPC Forward with CSC and with trigger Emulator RPC Eff with trigger emulator RPC Eff with CSC

15. We will select restricted regions of eta and phi for the high quality DT muons in order to calculate the RPC efficiency in different chambers. • Will plot the RPC efficiency with respect to these high quality DT muons and with trigger emulator with respect to pt. • Ideally there should be perfect matching between the two efficiencies at least for high pt region which means that the correlation is zero and we have an unbiased selection of RPC efficiency. • And if this will not happen then this means that may be there is some correlation between DT/CSC and RPC or some other reason which need to be investigated.

16. Muon Trigger Efficiencies for W →μνanalysis • Inclusive processes pp → W + X and pp → Z + X with decay of W & Z into leptons important processes at LHC. • Large cross section and simple signatures. • Unique tools to calibrate detector , establish identification criteria & establish detector efficiencies. • Events with one isolated, high pt muons and missing transverse energy consistence with presence of neutrino can be used to select high purity W →μνsample

17. W Selection One global muon with pt > 25GeV. Events with two muons with pt > 20GeV rejected. Muon must be isolated with default criteria Σ pt/pt > 0.09 in cone of ΔR < 0.3. Contribution from top events containing muons reduced by rejecting events with more than 3 jets with ET > 40GeV and events in which acoplanarity ζ between muon and MET is greater than 1 radian.

18. Missing transverse mass of reconstructed W system, MT must be greater than 50GeV and less than 200GeV. MT distribution of W →μν and its backgrounds after selection at normal and logarithmic scale. Number of events used corresponds to those expected for 10pb-1 integrated luminosity.

19. W →μνcross section given by: σW X BR (W →μν) = NsigW - NbkgdW /εW X ∫L dt Where NsigW and NbkgdW number of signal & background events passing selection and εW efficiency of triggering, reconstruction and selection of W →μνevents. • εWefficiency of W →μνtakes into account 1) acceptance of kinematical cuts (pt > 25GeV, |η|< 2.0)εacc 2) global muon reconstruction efficiency εrec which is product of three factors: εstandalone X εtracker X εmatching where εstandalone efficiency to find muon candidate in muon spectrometer εtracker efficiency to find muon candidate in tracker εmatching probability to find correct matching between standalone and tracker candidate

20. Isolation efficiency εiso Single muon trigger efficiency εtrig Acceptance of missing transverse energy cut εMET Acceptance of cuts rejecting ttbar and dimuon events εrej Only εacc & εrej are estimated from Monte Carlo. εrec , εiso , εtrig calculated from efficiencies determined with Z →μ+μ-data, using Tag & Probe method. εMET also estimated with data.

21. Alternative Method: Thus in the framework of W-cross section determination, we rely on Tag & Probe techniques to evaluate Muon trigger efficiencies. This method needs a minimal luminosity to achieve reasonable statistics to determine these trigger efficiencies. But is there any alternative method to evaluate trigger efficiencies in the early phase of running i.e. at low luminosities?????? We are doing a feasibility study to make an unbiased selection of a sample where we can evaluate the Muon trigger efficiencies with different QCD samples.

22. Study is based on unbiased selection of sample different to Z → μ+μ- . A QCD sample is selected and some part of this sample is again selected by triggers other than muon triggers (Jet, electron triggers etc.) not to bias the sample. W selection is performed on this selected unbiased sample after which muon trigger whose efficiency to calculate is applied. First part of Study was done with CSA07 sample at 14TeV. Sample Used: /ppMuPt20-15/CMSSW_1_6_7-CSA07-1205151815/AODSIM

23. Efficiency of SingleMuonNonIso trigger : Average efficiency of smnoiso trigger for tight selection = 60% Average efficiency of smnoiso trigger for relaxed selection = 50% Efficiency of smnoiso trigger = No. of events trigger by smnoiso+selected offline +Other trigger/No. of events passing selected offline+other trigger

24. The efficiency of HLT1NonMuonIso trigger obtained by using different non Muon triggers (av. 60%) & MC efficiency (63%) is in close agreement. Same is for relaxed selection in which MC efficiency is 53% & with respect to other triggers is 50% (av.). We may reach a reasonable statistics with a QCD sample, selected with non Muon triggers to evaluate the non Isolated Muon Trigger Efficiency. But no comparisons with Tag & Probe efficiencies were done as the sample seemed to have some problems with HLT simulation that make the efficiency very low. So again repeated same exercise with new QCD sample and in new CMSSW version

25. Sample used for Signal Study : /Wmunu/Summer08_IDEAL_V9_v1/GEN-SIM-RECO Sample used for Background Study : /InclusiveMuPt15/Summer08_IDEAL_V9_v1/GEN-SIM-RECO New production of samples at 10 TeV at which cross section are lower ~ 40% than at 14 TeV. σ(ppmuX at 14 TeV) = 0.820mb filter efficiency = 0.00028 Number of ppmuX expected at luminosity 10pb¯¹ = 22.96 X 10⁵ σ(ppmuX at 10 TeV) = 0.5091mb filter efficiency = 0.000239 Number of ppmuX expected at luminosity 10pb¯¹ = 12.2 X 10⁵ So at 10 TeV we have a bit more than 50% of events what we had before.

26. For the signal W→μν the expected number of events at 14 TeV : σ(W→μνat 14 TeV) = 17.17nb filter efficiency = 0.6418 Number of W→μνexpected at luminosity 10pb¯¹ = 13.223X10³ events Where as the number of events at 10TeV σ(W→μνat 10 TeV) = 11865pb filter efficiency = 0.691 Number of W→μνexpected at luminosity 10pb¯¹ = 98384 ~100K events So the number of events at 10TeV get reduced compared to 14TeV

27. The expected number of trigger bits expected at 10 TeV and luminosity 10pb¯¹ for the Background sample HLT_Mu15 HLT_Jet80 HLT_Jet50 HLT_Jet110 HLT_Jet30 HLT_Jet250 HLT_IsoEle18_L1R HLT_IsoEle15_L1I 12.2X10⁵ number of events analyzed which corresponds to the statistics at 10 TeV and luminosity 10pb¯¹

28. On Log Scale HLT_Jet30 HLT_Jet250 HLT_Jet50 HLT_Mu15 HLT_IsoEle18_L1R HLT_Jet110 HLT_Jet80 HLT_IsoEle15_L1I

29. Selected seven non muon triggers : Trigger Name HLT_Jet30 HLT_Jet50 HLT_Jet80 HLT_Jet110 HLT_Jet250 Because many events fire these triggers & expected statistics may be large. But as they are pre-scaled triggers, depending upon the scaling factor , this a-priory statistics may be reduced. HLT_IsoEle15_L1I HLT_IsoEle18_L1R These electron triggers are completely different from muon triggers. Statistics may be low but sufficient.

30. Expected Statistics of selected Non Muon triggers for the Background InclusiveMuPt15 sample for 10pb¯¹

31. Expected Statistics for the Background InclusiveMuPt15 sample for 50 million analyzed events

32. Efficiency of SingleMuonNonIso trigger : Efficiency of HLTMu15 trigger = No. of events trigger by HLTMu15+selected offline +NonMuontriggers/ No. of events passing selected offline+NonMuontriggers Average efficiency of HLTMu15 trigger = 87.5%

33. MC efficiency of HLTMu15 trigger = No. of events passing W offline+HLTMu15 trigger/ No. of events passing W offline selection MC efficiency of HLTMu15 trigger from the W→μνsignal events = 90%

34. Where: Black Curve -> HLTMu15 muon events triggered by HLT_Jet30+selected offline Red Curve -> HLTMu15 muon events triggered by HLT_Jet50 +selected offline Green Curve -> HLTMu15 muon events selected offline Comparison of Pt distributions

35. Comparison of Eta distributions

36. Summary This is a exercise with the new samples for studying the feasibility of determining the Muon trigger efficiencies with other samples different from Zmumu samples. MC efficiency of HLTMu15 trigger from W→μνsignal events is 90% while calculated from background sample with non muon triggers is 87.5% . So both are in close agreement. As the statistics at 10pb¯¹ are not very promising so we cant be sure about the results we got with this statistics. Thus the work to be repeated for the new samples for CMSSW_3_1_x series in which new trigger table will be included. Study of muon decay in flight. The idea is to characterize these muons and see how many survive the W selection criteria so as to estimate the background from these muons.

37. THANKS