Download - Energy deposition in dependence on p T
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Energy deposition in dependence on pT
Lukáš Malina
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Datasets
• Real data: data11_7TeV.*.physics_JetTauEtmiss.merge.NTUP_SMQCD.*_p621/– Integral luminosity 1.031 fb-1 – Trigger EF_j240_a4tc_EFFS is used
• Monte Carlo: mc10_7TeV.*.J*_pythia_jetjet.merge.NTUP_SMQCD.*_p621/• MC histograms merged by hadd.C – different JX
samples (1-8) are weighted• Jet reconstruction algorithm AntiKT4 is used
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Energy plots
• Data are split by rapidity and by reconstructed pT of jets– pT bins are 20 GeV/c wide
• Mean values of jet energy deposition in parts of calorimeter are calculated for every bin
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TileBar1• Comparison of real data to simulation
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TileBar1• Ratio of energy deposition from real data and from Monte Carlo
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TileBar2• Comparison of real data to simulation
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TileBar2• Ratio of energy deposition from real data and from Monte Carlo
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TileExt1• Comparison of real data to simulation
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TileExt1• Ratio of energy deposition from real data and from Monte Carlo
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TileExt2• Comparison of real data to simulation
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TileExt2• Ratio of energy deposition from real data and from Monte Carlo
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HEC2• Comparison of real data to simulation
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HEC2• Ratio of energy deposition from real data and from Monte Carlo
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HEC3• Comparison of real data to simulation
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HEC3• Ratio of energy deposition from real data and from Monte Carlo
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pT distribution
Real Data Monte Carlo J1-8
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φ distributionReal Data Monte Carlo J1-8
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Conclusions
• It is necessary to fix a pileup bug in Monte Carlo (peaks about 200 GeV/c)– By cuting the pT interval of Jx sample
– By cuting the distance between truth and real primary vertex position