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Energy deposition in dependence on p T

Energy deposition in dependence on p T. Luk áš Malina. Datasets. Real data: d ata11_7TeV. *. physics _ JetTauEtmiss.merge.NTUP _SMQCD. * _p621/ Integral luminosity 1.031 fb -1 Trigger EF_j240_a4tc_EFFS is used Monte Carlo: m c10_7TeV. * .J * _

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Energy deposition in dependence on p T

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  1. Energy deposition in dependence on pT Lukáš Malina

  2. 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

  3. Energy plots • Data are split by rapidity and by reconstructed pTof jets • pT bins are 20 GeV/c wide • Mean values of jet energy deposition in parts of calorimeter are calculated for every bin

  4. TileBar1 • Comparisonofreal data to simulation

  5. TileBar1 • Ratio ofenergydepositionfromreal data • andfromMonteCarlo

  6. TileBar2 • Comparisonofreal data to simulation

  7. TileBar2 • Ratio ofenergydepositionfromreal data • andfromMonteCarlo

  8. TileExt1 • Comparisonofreal data to simulation

  9. TileExt1 • Ratio ofenergydepositionfromreal data • andfromMonteCarlo

  10. TileExt2 • Comparisonofreal data to simulation

  11. TileExt2 • Ratio ofenergydepositionfromreal data • andfromMonteCarlo

  12. HEC2 • Comparisonofreal data to simulation

  13. HEC2 • Ratio ofenergydepositionfromreal data • andfromMonteCarlo

  14. HEC3 • Comparisonofreal data to simulation

  15. HEC3 • Ratio ofenergydepositionfromreal data • andfromMonteCarlo

  16. pT distribution Real Data Monte Carlo J1-8

  17. φ distribution Real Data Monte Carlo J1-8

  18. 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

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