Trigger efficiency with UED SS dimuon events

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Trigger efficiency with UED SS dimuon events F. Marinho

description

Trigger efficiency with UED SS dimuon events. F. Marinho. Overview. UED Model reminder Motivation for trigger studies Trigger efficiency vs muon P T Trigger Paths ( Leptonic & Hadronic ) Background. The UED model. - PowerPoint PPT Presentation

Transcript of Trigger efficiency with UED SS dimuon events

Page 1: Trigger efficiency with             UED SS dimuon events

Trigger efficiency with UED SS dimuon events

F. Marinho

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Overview

• UED Model reminder• Motivation for trigger studies• Trigger efficiency vs muon PT

• Trigger Paths (Leptonic & Hadronic)• Background

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The UED model

• All particles are allowed to propagate in the extra dimension

• KK number conservation UED pair production and LKP

• Predicts the production of the N=1 modes at LHC energies

• Interesting phenomenology. In some aspects similar to SUSY models

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The mUED model

• Parameters: 1/R,

• High XSection values depend on 1/R

• PT distributions in the low GeV range

• Trigger strategy should not cut those muons

Ecm = 7 TeV

Reconstructed

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Data sets

• Used CMSSW_3_3_6: Fast simulation with startup setup + trigger

• Events generated with Pythia only• UED ss dimuons:

1/R: 300, 500, 700, 900, 1100 ~35000 events per point

• ttbar inclusive events 225000 events

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• Reconstruction efficiency as a function of PT

• Muons at low range are already suppressed in the reconstruction

Muon requirements:

Prompt, Global, MC matched

• Trigger algorithms should not increase these effects above 7GeV

Muon Reconstruction

MC

MCMatched & Global & RecoT μ

μ )P(eff

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Trigger Efficiency

• Throughout this talk:

• Only Global Muons are used• Trigger denotes the HLT trigger path used• Efficiencies evaluated for leading and next to

leading muons • Both muons reconstructed: 80% of signal kept

bin P in the 'μgiven abin with P in the 'μ),P(eff

T

TT s

TriggersTrigger

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Single Muon Paths

HLT Path Efficiency

HLT_Mu3 0.99810.0002

HLT_Mu5 0.9889 0.0006

HLT_Mu9 0.939 0.002

HLT_L2Mu9 0.9370.002

HLT_L2Mu11 0.9010.002

HLT_L1Mu20 0.7560.003

· HLT Paths highly efficient for signal · Low PT range not significantly affected by trigger cuts up to 5 GeV· PT cuts should be < 7GeV keeping efficiency above 80% for the next to leading muon

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Dimuon Paths

HLT Path Efficiency

L1DoubleMuOpen 0.98400.0008

HLT_DoubleMu0 0.9530.001

HLT_DoubleMu3 0.9290.002

· High efficiency paths for signal· Dimuon paths have similar effects on leading and next to leading muons

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MET Paths

· Signal events with distinct MET signature · Two lightest particles· Muons distributions are not distorted

HLT Path Efficiency

HLT_L1MET20 0.98290.0007

HLT_MET45 0.9460.001

HLT_MET100 0.8210.002

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Jet Paths

· Signal events with distinct Jet+MET signature· Almost all events were accepted· Muon distributions are recovered· Jet cuts are very loose in these HLT Paths · More interesting to cut on number of jets (offline)

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Background ttbar

• 5% of events with SS dimuon

• Suppression due to REC and charge requirement

• Lead muons from W’s and b’s• Next to lead muons from hadronic• No isolation or other cuts are applied

SSdimuon300)UED(1/R

SSdimuonttbar NN

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ttbar - Muon Paths• Distributions similar to

signal• But efficiencies are

lower

HLT Path Efficiency

HLT_Mu3 0.9770.001

HLT_Mu5 0.9390.002

HLT_Mu9 0.8490.003

HLT_L2Mu9 0.8680.003

HLT_L2Mu11 0.8300.004

HLT_L1Mu20 0.7330.005

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ttbar – Dimuon Paths

• Similar distributions• Lower plateaus

HLT Path Efficiency

HLT_L1DoubleMuOpen 0.9500.002

HLT_DoubleMu0 0.8370.004

HLT_DoubleMu3 0.8130.004

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ttbar – MET Paths

• Low PT correlation • Good path for robustness check?• Background highly suppressed

• Use as offline selection variable

HLT Path Efficiency

HLT_L1MET20 0.8180.004

HLT_MET45 0.4580.007

HLT_MET100 0.1080.009

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ttbar - Jet Paths

HLT Path Efficiency

HLT_L1Jet6U 0.99980.0001

HLT_Jet15U 0.99500.0006

HLT_Jet30U 0.9260.002

HLT_Jet50U 0.6770.005

• No PT correlation • Good path for robustness

check?• Background partially

suppressed

• Use as offline selection variable

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Summary• SS dimuon analysis promising already at startup

possible to scratch current 1/R lower limit

• Avoid acceptance effects for muon distributions at least on offline level

• Muon triggers for startup data employed. • Consider hadronic Paths for robustness purposes. • MET and Jets are interesting as offline selection

variables.

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Next• Offline selection• Improve background studies• Determine yields at 7 TeV• Yields vs model parameters• Same exercise for other leptons

(anyone interested ???)