PhID Efficiency Measurement using Rad-Z (Z-mass) method · PhID Efficiency Measurement using Rad-Z...
Transcript of PhID Efficiency Measurement using Rad-Z (Z-mass) method · PhID Efficiency Measurement using Rad-Z...
PhID Efficiency Measurementusing Rad-Z (Z-mass) method
Kunlin Ran2, Shuo Han2, Jingyi Liu2, Yanping Huang2, Shan Jin1, Zihang Jia1,2 1Nanjing University, China
2Institute of High Energy Physics, Chinese Academy of Science
7/5/19 phID efficeincy_Radiative Z_Z mass !1
!2
Sample Status
Powheg Zee Powheg Zmumu
SherpaCT10 eegamma SherpaCT10 mumugamma
Sherpa221 Zee Sherpa221 Zmumu
SherpaCT10 tautaugamma Powheg Ztautau
Powheg WZ MadGraph ttgamma Sherpa221 Ztautau
List of reco.AOD (Full Mc16a-Mc16e, Only Mc16a-Mc16d)
Need to ask: Why are there no mc16e for ll+gamma?
EGAM3 unskimmed: https://prodtask-dev.cern.ch/prodtask/inputlist_with_request/25575/EGAM4 unskimmed: https://prodtask-dev.cern.ch/prodtask/inputlist_with_request/25576/EGAM3 skimmed: https://prodtask-dev.cern.ch/prodtask/inputlist_with_request/25577/EGAM4 skimmed: https://prodtask-dev.cern.ch/prodtask/inputlist_with_request/25578/
• data15: https://prodtask-dev.cern.ch/prodtask/inputlist_with_request/25354/• data16: https://prodtask-dev.cern.ch/prodtask/inputlist_with_request/25355/• data17: https://prodtask-dev.cern.ch/prodtask/inputlist_with_request/25356/• data18: https://prodtask-dev.cern.ch/prodtask/inputlist_with_request/25357/
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Eta bin 1-4 Pt bin 1 Unconverted
Upper: Muon Lower: Electron
CR
Data, MC signal, additional bkgs are from CR, Z+jets is from SR.
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Z+jets vs. CR
The CR definition needs improvement.
additionally, Z+jets shapes in SR and NR are similar. So we can use the same CR to replace this component before/after ID cut.
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CR
CR: fail tight identification & fail tight isolation
CR_loose: fail tight identification & fail tight isolation & loose isolation CR_lT: fail tight identification & tight isolation & fail loose isolation CR_LT: fail tight identification & tight isolation & loose isolation
SR
CR
T_iso !T_iso
T_ID
!T_ID
T_iso !T_iso
L_iso
!L_iso
3701
9209361
981
CR_lT
CR_loose
CR_LT
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CR_loose
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CR_lT
The peak is still not obvious, especially when statistics are low. — over subtraction?
CR data = data - MC signal - additional bkgs
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Summary
TO DO • Check CR definition. • Run DAOD samples when they are ready.
• Add tautaugamma samples when they are ready.
• Use finer eta binning, when full samples are ready.
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Back-up
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Old method
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New method
MC16d in SR. Fixed fractions from numbers of events.
Data - (MC signal) - (additional bkgs) in CR.
Model = Signal + CR + Bkgs Floating fractions.
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pT bin 1 Eta bin 1
Upper: Electron Lower: Muon
Better agreement than before.
Before ID After ID
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Efficiency (%) Eta 1 Eta 2 Eta 3 Eta 4
ConvertedpT bin1 45.0 1.1 37.8 1.0 46.9 1.7 47.5 1.6pT bin2 60.6 1.5 54.9 1.3 63.6 2.1 73.5 2.1pT bin3 74.9 2.1 65.2 2.1 67.1 3.3 70.2 3.2
UnconvertedpT bin1 49.9 0.5 47.9 0.5 52.3 1.3 56.0 1.1pT bin2 66.2 0.7 68.4 0.7 66.2 1.7 61.5 1.6pT bin3 75.4 1.0 73.7 1.0 73.1 2.7 78.1 2.3
ConvertedpT bin1 47.0 0.7 41.1 0.6 45.8 0.9 48.9 0.8pT bin2 60.3 0.8 57.5 0.6 61.3 1.0 70.4 0.9pT bin3 72.9 0.9 62.9 0.8 74.5 1.1 76.7 1.0
UnconvertedpT bin1 50.5 0.3 47.7 0.3 49.1 0.7 57.1 0.5pT bin2 66.1 0.4 64.2 0.3 65.5 0.8 58.8 0.7pT bin3 76.7 0.4 75.5 0.4 74.6 0.9 79.8 0.7
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DAOD DAOD empty DAOD AOD
DAOD AOD
Mc16aCT10 EGAM3 tautaugamma Additional bkg
EGAM4 tautaugammaAdditional bkg
EGAM4 tautaugamma
Mc16d CT10 EGAM3 tautaugamma EGAM4 tautaugamma EGAM4 tautaugamma
Mc16e
222 sig CT10 sig
222 tautaugamma bkg
Additional bkg
CT10 tautaugamma (mc16e)
SolutionThere’re no EGAM4 tautaugamma samples?
Availability