Use Tag & Probe method to measure electron efficiency Group 9 istep-2016 2016 年 7 月 20 日 Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 1 / 19
Outline Physics Motivation Method & Strategy Results & Discussions Summary & Outlook Contribution list References Acknowledgements Backup Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 2 / 19
Motivation electron detection in many physics processes at LHC,electron is an important signature electron can be detected accurately in tracker and calorimeter electron efficiency probability that a electron is detected by the detector and used to predict total electrons based on observed electrons bias sources: trigger inefficiency, misidentified hadrons(jet), photon conversions, non-isolated electrons from heavy-flavors decays. efficiency factor:c = ϵevent α reco ϵ ID ϵ trig ϵ isol Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 3 / 19
Method:Tag and Probe the dilepton decays of some particles are the best choices for lepton efficiency measurement like Z boson, J/ψ, Υ... choose one lepton passed selection call Tag, the other one is Probe without any selection. the total Probe lepton Number: N probe_total, the number of probe pass selection: N probe+pass leg1 leg2 comments corresponding efficiency: pass pass selected pass fail selected fail pass selected fail fail Not selected ϵ = N probe+pass N probe_total Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 4 / 19
Strategy sample used: mixed Zee(Signal)+Dijet(Background) samples background substraction: Nleptons = 2, Opposite Charge. the criteria for ID used in Tag and Probe. probability of jet misidentified as electron pretty low. exclude background by fitting. improve statistics select tag electron randomly, every event used twice Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 5 / 19
Fitting Strategy the shape: a Gaussian-like peak and a expo-like background. fit Model: Signal: Breit-Wigner/Gaussian Bkg: Expo./2nd Polynomial. Bkg fit: set two separate range [60, 70] GeV and [110, 120] GeV to make bkg template mass Events / 2 GeV 2500 2000 Events / 2 GeV 1800 1600 1400 probe_total Entries 15420 Data Mean 88.18 Background RMS fit 9.785 Signal fit Global Fit 1500 1200 1000 1000 800 600 500 400 60 70 80 90 100 110 120 di-electron invariant mass [GeV] 200 0 60 70 80 90 100 110 120 di-electron invariant mass [GeV] Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 6 / 19
Fitting Results(1) Signal: Breit-Wigner Bkg: Expo. probe total(left): χ 2 /ndof = 2.65 probe pass(right): χ 2 /ndof = 2.67 after bkg substraction: left: 9265.55; right: 7065.71 eff = 0.763 ± 0.004(stat.) Events/(1GeV) 1800 1600 1400 1200 1000 800 600 400 200 Probe_total Signal: BW Bkg: Expo 0 60 70 80 90 100 110 120 m e - [GeV] + e Events/(1GeV) 1400 Probe_Pass Signal: BW 1200 Bkg: Expo< 1000 800 600 400 200 0 60 70 80 90 100 110 120 m e - [GeV] + e Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 7 / 19
Fitting Results(2) Signal: Breit-Wigner Bkg: 2nd Poly. probe total(left): χ 2 /ndof = 2.53 probe pass(right): χ 2 /ndof = 2.96 after bkg substraction: left: 9300.67; right: 6915.88 eff = 0.744 ± 0.005(stat.) Events/(1GeV) 1800 1600 1400 1200 1000 800 600 400 200 Probe_total Sig: BW Bkg: 2nd Poly< 0 60 70 80 90 100 110 120 m e - [GeV] + e Events/(1GeV) 1400 Probe_Pass Signal: BW 1200 Bkg: 2nd Poly< 1000 800 600 400 200 0 60 70 80 90 100 110 120 m e - [GeV] + e Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 8 / 19
Fitting Results(3) BW+quaridiac model(left), BW+exponential model(right) Events / 2 GeV 500 400 300 mass probe_pass Entries 7108 Mean 90.66 RMS 4.664 Events/(1GeV) 500 400 300 200 200 100 100 0 0-100 60 70 80 90 100 110 120 di-electron invariant mass [GeV] 100 60 70 80 90 100 110 120 m e - [GeV] + e the BW+quaridiac model may have problems in fitting the peak region. choose the BW+exponential model as the main model. Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 9 / 19
Uncertainty(1) Statistics Uncertainties Every experiment is a Bernoulli distribution,the probability of the n times experiments:p(x) = C x np x (1 p) n x, q = 1 p Expectation: x = np Efficiency: Statistics Uncertainties: σ ϵ = Variance:v(x) = npq ϵ = N probe+pass N probe_total N prob_total ϵ(1 ϵ)/n probe_total = ϵ(1 ϵ)/n probe_total Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 10 / 19
Uncertainty(2) Systematic Uncertainties internal systematic in model: from the errors of parameters model vs model: alternative model: signal(b-w function)+background(quadratic model) The size of signal window Other possible observed bias for Integral Region: eff = 0.763 ± 0.004(stat.) ± 0.022(syst.) Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 11 / 19
eff-eta & eff-pt calculate the efficiency in different eta and pt bins. Efficiency Efficiency-η 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 0 0.5 1 1.5 2 2.5 η Efficiency Efficiency-Pt 1.4 1.3 1.2 1.1 1 0.9 0.8 0.7 0.6 0.5 0 20 40 60 80 100 Pt [GeV] Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 12 / 19
Summary & Outlook Summary Be familiar with the ROOT software & Tag and Probe Method; Study the electron efficiency of Zee. Outlook more available statistic; more accurate fit function; separate MC sample for Zee and Dijet; more variables... Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 13 / 19
Contribution list LiBingzhi(SJTU),ChenQian(PKU),HanKunlin(USTC) SheZhilei(CUG),LiHongqiang(SNNU),HeYangle(HNU) Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 14 / 19
References ATLAS Collaboration,Electron performance measurements with the ATLAS detector using the 2010 LHC proton-proton collision data,arxiv:1110.3174. ATLAS Collaboration,Electron reconstruction and identification efficiency measurements with the ATLAS detector using the 2011 LHC proton-proton collision data,arxiv:1404.2240v3. ATLAS Collaboration, Reconstruction and identification of electrons in ATLAS,SMU-HEP-08-21.pdf. CMS Collaboration, Performance of electron reconstruction and selection with the CMS detector in proton-proton collisions at 8 TeV, arxiv:1502.02701. Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 15 / 19
Acknowledgements Thanks for the guidance and help from Prof. Ning Zhou and Prof. Huaqiao Zhang; Best wishes for all the professors and classmates of istep; Thanks for your attention! Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 16 / 19
Backup(1) the pt and eta distributions for probe p ass electron 200 180 160 eta eta_pass_tp Entries 7108 Mean 1.008 RMS 0.6495 700 600 pt pt_pass_tp Entries 7108 Mean 39.63 RMS 10.15 140 500 120 400 100 300 80 200 60 100 40 0 0.5 1 1.5 2 2.5 η 0 0 10 20 30 40 50 60 70 80 90 100 Pt [GeV] Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 17 / 19
Backup(2) Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 18 / 19
Backup(3) Group 9 (istep-2016) Use Tag & Probe method to measure electron efficiency 2016 年 7 月 20 日 19 / 19