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Di-jet simulation

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Di-jet simulation

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  1. Di-jet simulation Hiroki Yokoyama Univ. of TSUKUBA ALICE POST-QM09

  2. Motivation • Dijet phi balance • Dijet energy balance

  3. Dijet Phi-Balance resolution pp5500GeV • PYTHIA8 simulation • CellJet algorithm • R=0.2 • Dijet phi balance = dphi - π • Including detector energy smearing High energy Dijet have clean back-to-back shape

  4. Dijet Energy Balance pp 5500GeV • PYTHIA8 simulation • CellJet algorithm • R=0.2 • Dijet energy balance = • Including detector energy smearing TPC-TPC Resolution of Dijet energy balance is improved by J-Cal TPC-EMC JCal-EMC γ-jet:JCal-EMC with all particles

  5. PYQUEN pp5500GeV • PYTHIA6+Jet-Quenching • pTHat=100GeV • 5% central R=0.2 ETmean=100GeV Red: Quench Off Blue: Quench On R=0.7 20GeV energy loss at central collision Energy unbalance

  6. Summary • PYTHIA8 simulation • High energy jets make clean Back-to-Back • The energy balance resolution is improved when J-cal is installed • PYQUEN simulation • ~20GeV energy loss at central collision • energy unbalanced

  7. BACKUP

  8. jet energy balance/dphi resolution with PYTHIA8 • btob jet selection • HardQCD::all = on • pp5500GeV • CellJet(MineT=20(13), eTseed=1.5(1.), coneRadius=0.2) • [0.1,0.1] cell (|eta|<5.), particle ET(p) smearing by detector resolution • cellJet.size()==2 • phi1>0 && phi2<0 • pTHat(40~180GeV) • configuration (TPC-TPC, TPC-(EMC+TPC), (EMC+TPC)-(EMC+TPC)) • energy correction (in case TPC-(EMC+TPC) conf.)

  9. jet energy balance/dphi resolution with PYQUEN • btob jet selection • pp5500GeV • CellJet(MineT=20, eTseed=2., coneRadius=0.2, pTcut=0) • [0.1,0.1] cell (|eta|<5.), particle • cellJet.size()==2 • each pTHat(20~100GeV) • EMC+TPC particles • each configuration (w/o JQ, with JQ(4fm)) R=0.2 100GeV dijet