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R45 vs PU

R45 vs PU. Artur Apresyan California Institute of Technology Saeid Paktinat School of Particles and accelerators, IPM. Introduction. R45 = (T4 – T5)/(T4 + T5) T4 and T5 are in GeV . Results for both channel and RBX wise are reported .

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R45 vs PU

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  1. R45 vs PU ArturApresyan California Institute of Technology SaeidPaktinat School of Particles and accelerators, IPM

  2. Introduction • R45 = (T4 – T5)/(T4 + T5) • T4 and T5 are in GeV. • Results for bothchanneland RBX wise are reported. • Number of the verticesisused as the PU measure. • GoodPrimaryVertexFilter and HBHENoiseFilter are applied. process.HBHENoiseFilter.useTS4TS5 = cms.bool(False)

  3. 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

  4. Number of Vertices Drop in nVtx is slower in MinimumBias than SingleMu

  5. R45 vs energy The overall shape is not affected by the pile up

  6. R45 vs energy Almost same result for SingleMu dataset

  7. R45 in different bins of nVtx R45 shape is almost same in different bins of nVtx.

  8. R45 in different bins of nVtx • SingleMu

  9. Efficiency of Noise Filter • The variable useTS4TS5 is turned on/off. • The efficiency goes down by increasing the number of the Vertices. The plot will be updated with y-label. Points are fitted with a horizontal line

  10. Efficiency of Noise Filter • Efficiency is almost constant for SingleMu. Points are fitted with a horizontal line

  11. T4 and T5 are for every single channel. Not added for the whole RBX.

  12. T4 and T5 are for every single channel. Not added for the whole RBX.

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