R45 vs PU Artur Apresyan California Institute of Technology Saeid Paktinat School of Particles and accelerators, IPM
Jan 12, 2016
R45 vs PU
Artur ApresyanCalifornia Institute of Technology
Saeid PaktinatSchool of Particles and accelerators, IPM
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Introduction
• R45 = (T4 – T5)/(T4 + T5) • T4 and T5 are in GeV.• Results for both channel and RBX wise are
reported.• Number of the vertices is used as the PU
measure.• GoodPrimaryVertexFilter and HBHENoiseFilter
are applied. process.HBHENoiseFilter.useTS4TS5 = cms.bool(False)10/7/2011
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Data
• Datasets:– SingleMu_Run2011A-May10ReReco-v1_RECO– SingleMu_Run2011A-PromptReco-v4_RECO– MinimumBias_Run2011B-PromptReco-v1_RECO– MinimumBias_Run2011A-PromptReco-v5_RECO
• Json file 23 Sep– Cert_160404-176309_7TeV_PromptReco_Collisions11_JSON.txt
10/7/2011
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Number of Vertices
Drop in nVtx is slower in
MinimumBias than SingleMu
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R45 vs energy
The overall shape is not affected by the pile up
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Almost same result for SingleMu dataset
R45 vs energy
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R45 in different bins of nVtx
R45 shape is almost same in different bins of nVtx.
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• SingleMu
R45 in different bins of nVtx
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Efficiency of Noise Filter• The variable useTS4TS5 is turned on/off.• The efficiencygoes down by increasing the number of theVertices.
The plot will be updated with y-label.
Points are fitted with a
horizontal line
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Efficiency of Noise Filter
• Efficiency is almost constant for SingleMu.
Points are fitted with a
horizontal line
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• T4 and T5 are for every single channel. Not added for the whole RBX.
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• T4 and T5 are for every single channel. Not added for the whole RBX.
10/7/2011