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Reconstruction of Z-> ->e+ jet events with early data in CMS Konstantinos A. Petridis IOP Conference Lancaster 31 st March 2008 Overview Motivation Detector and algorithm description


  1. Reconstruction of Z-> ττ ττ ττ ->e+ τ ττ τ τ τ jet events with early data in CMS Konstantinos A. Petridis IOP Conference Lancaster 31 st March 2008 Overview • Motivation • Detector and algorithm description • Aspects of τ jet reconstruction • Results • Background estimation • Conclusions

  2. Introduction Motivation for reconstructing and selecting Z-> ττ ->e+ τ jet events • Benchmark for light SM/SUSY H-> ττ ->e+ τ jet discoveries – Main channel to measure τ jet tagging efficiency – • Vital ingredients for the measurement of x-section of events involving τ jets • Input to measurements of SUSY studies • Description of Reconstruction and Selection strategy – Trigger on events using the Single Electron Trigger – Offline electrons matched to HLT and pass offline Id with E T >16GeV Offline Calo τ jet E T >20GeV passing e rejection and isolated in the tracker with – using η−φ cone with constant R s and 1 or 3 signal tracks M e-MET <60GeV/c 2 , ∆φ e-MET <2.4, N other jets <2 – Require e, τ jet candidates to have opposite charge – IOP Lancaster 2 K.A Petridis

  3. The CMS Detector Tau Jet L1+HLT: Calorimeter isolation at Electron L1+HLT: Calorimeter isolation at L1. L1. At HLT build calo-jets out of “L1 At HLT build Ecal clusters out of “L1 accepted” accepted objects”. Build pixel seeded objects. Build pixel seeded tracks and require tracks and require Ecal and Pixel/Track E/P, HCal and Tracker isolation cuts. isolation Offline Electron Id: Based on H/E, E/P, Tau Jet Offline: Calo/PF jet with isolated cluster shape, brem fraction, track-cluster tracks. Variations of isolation (varying R S, η−φ , θ−φ cone definitions…. ) matching …cuts. IOP Lancaster 3 K.A Petridis

  4. Triggering on Z-> ττ ->e+ τ jet • Ideally trigger using HLT e+e τ jet trigger L1+HLTe Turn on curve • At 10 32 cm -2 s -1 : HLTe e >15GeV E T HLTe+ τ jet E T e >12GeV τ jet >20GeV E T • No gain of HLTe+ τ jet on top of HLTe at 10 32 cm -2 s -1 •HLTe+ τ jet becomes important at higher L scenario when HLTe E T threshold increases • Therefore trigger on these events using HLTe L1+ HLTe ε Vs η Level-1+HLT e (22.4+/-0.4)% ~(12+/-4)Hz HLTe = Single electron HLT HLTe+ τ τ τ jet = Single electron AND τ jet HLT τ HLT e+e τ τ jet = HLTe OR HLTe+ τ jet τ τ IOP Lancaster 4 K.A Petridis

  5. Offline τ jet tracker isolation performance Ldg Trk Finding E T >20GeV efficiency factored in Pass electron Rejection Ldg Trk Finding E T >20GeV efficiency factored in Pass electron Rejection IOP Lancaster 5 K.A Petridis

  6. e- τ jet misidentification • Electrons are ideal candidates to pass τ jet identification criteria since they are single isolated tracks. Need to be able to reject them. LdgTr = Sum of 3x3 HCal Tower E T around ldg track HT /P T • Consider E T3x3 impact point on Calo Surface divided by Ldg Trk P T • For (85+/-0.2)% τ jet efficiency mark, HT /P T LdgTr >0.1 gives E T3x3 lowest e efficiency (2.7+/- Reco τ τ jet τ τ 0.2)% out of all selections E T >20GeV R m =0.1 • Further apply veto for P T LdgTr >6.GeV candidates with LdgTr @ Ecal pointing to η cracks giving a total R iso =0.45 R sig =0.07 τ jet eff ~80% e eff ~1% IOP Lancaster 6 K.A Petridis

  7. Offline Signal Performance τ jet id eff e id eff IOP Lancaster 7 K.A Petridis

  8. Mass Plot Look at invariant mass between Opposite Sign (OS) reconstructed visible Z products M e+ τ jet since want to minimise the use of Missing E T at startup Signal: 195.8 Stacked W+jets: 27.5 ttbar+jets: 10.4 Z � ee: 17 S/ √ (S+B) ~26 Contribution of QCD is currently being evaluated IOP Lancaster 8 K.A Petridis

  9. Background Estimation The charges of the electron and τ jet in Signal events are opposite • – This gives a good handle for selecting a Signal-Free mass window by looking at Same Sign (SS) M e+ τ jet – Background contribution in the Opposite Sign (OS) mass window can be extracted by looking at the number of events and shape of the SS mass window • Charge correlations between QCD and EWK processes are different so treat separately – For W+jets, ttbar ,Z+jets->ee, we use dedicated analyses to get the number of events for the corresponding luminosity and apply the selections efficiencies obtained from SS , N ttbar SS , N Z+jets->ee SS MC simulations to extract N W+jets – The (OS/SS) EWK ratios are obtained from MC simulations and verified with data – For QCD: – And (OS/SS) QCD can be obtained by looking at events passing a Non-Isolated electron trigger. This trigger has just been approved by CMS so this study is ongoing IOP Lancaster 9 K.A Petridis

  10. W+jets and ttbar Background Estimation Extracting OS mass dist’n from SS N OS =N SS x(OS/SS) MC W+jets ttbar+jets (OS/SS) W+jets =3.4 (OS/SS) ttbar =2.3 N OS =10.4 N OS =27.5 N SS x(OS/SS) MC = 9 N SS x(OS/SS) MC = 25 IOP Lancaster 10 K.A Petridis

  11. Z->ee Background Estimation • Extract OS Z->ee contribution by looking at events with reverse electron LdgTr <0.1 ( τ -veto) rejection criteria E T3x3 HT /P T τ -veto x ε Z->ee e-veto / ε Z->ee τ -veto e-veto =N Z->eeOS • Hence N Z->OS This requires knowledge of ε Z->ee e-veto / ε Z->ee τ -veto which can be extracted using • “Tag and Probe” methods (See Backup) • Can also extract mass shape however there are still some discrepancies that need to be understood IOP Lancaster 11 K.A Petridis

  12. Conclusions • Presented a brief description of some of the aspects of selecting and reconstructing Z-> ττ - > e+ τ jet events • Performance of the algorithms was discussed • For 100pb -1 we have ~200 Signal with ~ 55 Bkg events (QCD omitted) Effect of QCD is currently been studied. Recently produced 10pb -1 and results out – shortly • Methods for extracting the number and shape of background events from data were discussed Finally a data driven method for measuring the “per event” τ tagging efficiency • is presented in the backup. Studies are ongoing to use a more powerful method (System D of D0) to measure the “per jet” efficiency as a function of kinematic variables IOP Lancaster 12 K.A Petridis

  13. Backup IOP Lancaster 13 K.A Petridis

  14. Samples used • Data Sets used – Signal: Pythia Z � ττ � e+ τ jet with | η | e, τ jet <2.5 70GeV/c 2 <m Z <110GeV/c 2 – Pythia Z � ee | η | e <2.5 m Z >40GeV/c 2 – Alpgen W+0,1,2 jets – Alpgen ttbar+0,1,2 jets hat 25-170GeV – Pythia QCD p T IOP Lancaster 14 K.A Petridis

  15. Triggering on Z-> ττ ->e+ τ jet events Ideally a logical OR between Single Isolated e HLT (e HLT) and the X-channel e τ HLT • should be used – However current trigger table designed for L=10 32 cm -2 s -1 has low E T threshold for eHLT For startup L use only Single e HLT which is ideal for τ tagging efficiency measurement – “CMS HLT exercise” Table Very similar thresholds Gain of using e τ HLT on top of e HLT is minimal both at HLT and offline • However as L increases, e HLT E T threshold will need to increase accordingly Gain of e τ HLT on top of e HLT will be more evident – IOP Lancaster 15 K.A Petridis

  16. τ id tightening Look at isolation + leading track finding efficiency in Signal QCD 25<p T hat <50 and • hat <170 QCD 50<p T S eff /B eff , distribution S eff /B eff , distribution R iso =0.45 R iso =0.45 7.1 8.3 Full Sim Full Sim hat <50 QCD 50<p T hat <170 QCD 25<p T “Per jet” efficiency w.r.t jets that pass: Tighten cuts: R sig =0.05, P T LdgTr >16GeV τ cand >20GeV, E T QCD_25_50 per jet S/B~22 HT /P T Ldg >0.1, E T3x3 QCD_50_170 per jet S/B~15 ∆η LdgTr-HTmax <0.1, IOP Lancaster 16 K.A Petridis

  17. Kinematic Variables IOP Lancaster 17 K.A Petridis

  18. Mass Resolutions IOP Lancaster 18 K.A Petridis

  19. Measuring Electron Rejection Efficiency on Electrons using Z->ee • Based on tag-probe method used by Egamma people – Use events triggered by Single Iso elec HLT – Tag: electron passing offline and HLT Id – Require only 1 per event – Probe: τ candidate passing isolation but without applying e-rej criteria AND not collinear to Tag electron – Then plot M (tag-probe) for: • a) No e-rejection criteria applied. Events in window=N tot • b) With reversed e-rejection ( τ -veto) criteria applied . Events in window=N τ veto – Contrary to tag-probe method of Egamma we define M (tag-probe) energy and direction of τ candidate and not track information. ε τ veto =N τ veto /N tot and hence can get the e-rej efficiency ε e veto =1- ε τ veto – IOP Lancaster 19 K.A Petridis

  20. View of M (tag+probe) Probe = Ctf Track of 1-prong τ Probe = Calo Jet of τ candidate candidate E HT LdgTr >0.1 T3x3 /P T No cut E HT LdgTr <0.1 T3x3 /P T Combining good electron with calo τ Large lower tail since combining “good” matching 2 nd MCe from Z. Mass is electron with CTF track of calo τ matching 2 nd MCe from Z that does not recovered. Mass shape discrepancy due to HCAL. (extent of difference under appear in elec cand list (Bad elec) investigation) IOP Lancaster 20 K.A Petridis

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