Energy deposition in dependence on pT

Lukáš 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: 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

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

TileBar1• Comparison of real data to simulation

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

TileBar2• Comparison of real data to simulation

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

TileExt1• Comparison of real data to simulation

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

TileExt2• Comparison of real data to simulation

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

HEC2• Comparison of real data to simulation

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

HEC3• Comparison of real data to simulation

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

pT distribution

Real Data Monte Carlo J1-8

φ distributionReal Data Monte Carlo J1-8

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