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Oct 23, 2022 •360 likes •550 views

Energy deposition in dependence on p T Luk Malina 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:

  1. Energy deposition in dependence on p T Luk áš 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 AntiK T 4 is used

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

  4. TileBar1 • Comparison of real data to simulation

  5. TileBar1 • Ratio of energy deposition from real data and from Monte Carlo

  6. TileBar2 • Comparison of real data to simulation

  7. TileBar2 • Ratio of energy deposition from real data and from Monte Carlo

  8. TileExt1 • Comparison of real data to simulation

  9. TileExt1 • Ratio of energy deposition from real data and from Monte Carlo

  10. TileExt2 • Comparison of real data to simulation

  11. TileExt2 • Ratio of energy deposition from real data and from Monte Carlo

  12. HEC2 • Comparison of real data to simulation

  13. HEC2 • Ratio of energy deposition from real data and from Monte Carlo

  14. HEC3 • Comparison of real data to simulation

  15. HEC3 • Ratio of energy deposition from real data and from Monte Carlo

  16. p T distribution Rea eal Da l Data ta Mon Monte Car te Carlo lo J1 J1-8

  17. φ distribution Rea eal Da l Data ta Mon Monte Car te Carlo lo J1 J1-8

  18. Conclusions • It is necessary to fix a pileup bug in Monte Carlo (peaks about 200 GeV/c) – By cuting the p T interval of Jx sample – By cuting the distance between truth and real primary vertex position

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