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Particle Production and Correlation from the Recombination Model
C.B. Yang CCNU ,Wuhan, China PRC81, (2010)
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Outline Data and our motivation Quark recombination model
Scaling of dynamical path length dis Particle spectrum Correlations in jet Discussion
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PHENIX
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PHENIX
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Our aim Find simplifying features of the data
Relation with nuclear geometry Dynamical hadronization mechanism New understanding of the data Implications for LHC/ALICE
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Recombination models Hadrons formed by combining two (three) constituent quarks Combining probabilities, determined by wave functions, called the recombination functions There are soft and hard partons Hard parton will lose energy in traversing the medium There are different implementations Hard partons evolve into semi-hard showers
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Relevant partonic and hadronic variables
Position of hard scattering can be different Hard momentum k=k’ fluctuates
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Hadronization dynamics,
independent of centrality and azimuthal angle
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Degraded parton distribution
Weight for each point (Geometry) Hard parton energy loss (model) depending on the traversed length
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Last equation can be rewritten as
ξcalled dynamical length
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Dynamical path length distribution
ω=4.6
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Scaling dynamical path length distribution!
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Scaling of RAA (Theoretical results)
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RAA vs NP (Th vs Data) γ=0.11
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if with scaling, one gets RAA scaling
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Back-to-Back Jets Hadronization dynamics
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C=0.05,φ=π/24
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Boundary of last plot
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2d path length dis is of scaling
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Yield per trigger
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Trigger-normalized FF
Data: 8GeV/c<pt<16GeV/c, 0-10%
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Two-jet recombination at LHC
At LHC/ALICE, # of init hard partons is huge They may overlap in space-time Huge p/π ratio New signal?
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Two-jet overlap probability Γ
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Discussions RAA at large pT depend on Scaling of RAA seen at RHIC
b and φdependence of RAA encoded in mean path length Yield per trigger depends on ξ-bar universally At LHC, RAA can be huge and its scaling may be violated due to overlap of two-jets Can be checked easily!
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Thank you!
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