Archana Sharma, Suman Beri Panjab University Chandigarh

Archana Sharma, Suman Beri

Panjab University

Chandigarh

India-CMS meeting TIFR, Jan. 20111

Updates on the RPC trigger efficiency work with data driven method and Muon trigger

efficiencies with Tag & Probe

Plan of talk


RPC trigger efficiencies with Data Driven method. Analysis features Brief description of method Some efficiency plots Summary

Muon trigger efficiencies with official Tag & Probe method Analysis features Brief description of Tag & Probe method Selection cuts for Tag & Probe Trigger Efficiencies plots Summary

A Data Driven trigger performance evaluation method


GMT algorithm keeps trace of the muon sub-system which provided the candidates measurement(s)

Such feature can be exploited for evaluating in a data-driven fashion the trigger performance of each muon sub-systemBy considering the trigger candidates provided by a given sub-detector

using its complementary one as reference.

MotivationSuch method is relevant in cross section calculation scenarios, for trigger

efficiency evaluation unbiased by MC guesses

Analysis Features


CMSSW version : 3_8_4_patch4MC sample /WToMuNu_TuneZ2_7TeV-pythia6/Fall10-START38_V12-v1/GEN-SIM-

RAW

Data Sample/Mu/Run2010B-WZMu-v2/RAW-RECO

Results of the Data driven efficiencies for RPC trigger system with MC sample and real data were compared.


Three types of efficiencies curves for the DT and RPC trigger system :

For data driven efficiency with MC and real data

– all the events with GMT candidates provided by the DT’s in barrel

– amongst these, the number of events with candidates provided also by RPC is counted up.

For Data Reco efficiency

– all the L2 muons

– amongst these the number of events with Candidates provided by RPC is counted up.

Some plots of RPC trigger system efficiency with eta cuts only


|eta|<0.2, 0.33<|eta|<0.56, 0.76<|eta|<0.97

for negative muons for positive muons



Phi binning = 10 degree



Pt binning = 10 GeV/c

Applied the different sets of phi cuts for positive and negative muons to rule out the geometric cracks along different sectors in phi



Summary


Efficiencies before applying phi cuts :

Efficiency after applying phi cuts :

Phi cuts improve the matching between the curves for MC and real data as well as the efficiencies.

RPC Trigger efficiency curves after cuts show flat behaviour with respect to transverse momentum except low momentum.

Data driven efficiency with MC

Data driven eff with real data

Eff with reco muons for real data

For positive muons 87.79 0.06% 83.95 0.63% 84.32 0.61%

For negative muons 87.97 0.08% 83.01 0.74% 83.57 0.72%

Data driven efficiency with MC

Data driven eff with real data

Eff with reco muons for real data

For positive muons 95.14 0.06% 93.96 0.56% 94.06 0.56%

For negative muons 95.23 0.07% 93.87 0.63% 94.05 0.61%

Efficiencies of HLT_Mu9 , HLT_Mu11 & HLT_Mu15 triggers with Tag & Probe


Overview of Tag and Probe Method


Tag and Probe method is a data-driven approach to estimate the efficiencies of the different processes which involves a particle reconstruction in a detector.

Very tight selection criteria: TagPaired with tag to fulfill resonance

mass window: probe (loose selection criteria)

ε = Npass/ Npass + Nfail

Analysis Features :


CMSSW version used : 3_8_4MC sample used :

/DYToMuMu_M-20_CT10_TuneZ2_7TeV-powheg-pythia/Fall10-START38_V12-v1/GEN-SIM-RECO

Data sample used :1) /Mu/Run2010A-WZMu-Sep17Skim_v1/RAW-RECO

2) /Mu/Run2010B-PromptReco-v2/RECO

Selection criteria on Tag & Probe


Cuts on Tag :

1) Pt >20 GeV

2) |eta| < 2.1

3) Passing VBTF cuts (no isolation)Cuts on Probe :

1) Pt > 20 GeV

2) |eta| < 2.1

3) Passing VBTF cuts (no isolation)HLT_Mu9 – unprescaled upto run 147116HLT_Mu11- unprescaled upto run 148058HLT_Mu15_v1- unprescaled for all run range used in the

present study

Efficiency of HLT_Mu9 wrt eta for all Pt range


Efficiency of HLT_Mu9 wrt Pt for all Eta range


Efficiency of HLT_Mu11 wrt eta for all Pt range


Efficiency of HLT_Mu11 wrt Pt for all Eta range


Efficiency of HLT_Mu15_v1 wrt eta for all Pt range


For real data

Efficiency of HLT_Mu15_v1 wrt Pt for all Eta range


For real data

Summary


Efficiencies are summarized as :

Significant matching between data and MC efficiency curves. There is a drop in efficiency for the eta region 1.05<|eta|<1.2

which is the overlap region. Drop in efficiency is more prominent for HLT_Mu9 (~70%)

for both positive and negative eta regions where as for other two triggers a prominent drop is there for negative overlap region but not for positive overlap region.

Trigger names Efficiencies with MC

Efficiencies with real data

HLT_Mu9 95.25 ± 0.028% 89.90 ± 0.50 %

HLT_Mu11 95.25 ± 0.028% 92.32 ± 0.31 %

HLT_Mu15_v1 - 92.61 ± 0.20 %

Next Plans


RPC trigger efficiency work :Further optimize the eta and phi cuts for real data.Study of DT trigger system efficiency with data driven method.

Muon trigger efficiency work :Study of efficiency drop in overlap region.Study of efficiency for |eta| region from 2.1 to 2.4.To calculate the trigger efficiency at L1 and HLT level

separately with Tag & Probe.

Archana Sharma, Suman Beri Panjab University Chandigarh

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