Transcript Slide 1
Production of Hadrons Correlated to Jets in High Energy Heavy-Ion Collisions Charles Chiu Center for Particles and Fields University of Texas at Austin Shangdong University, Jinan, Shangdong, June 8, 2009 1 Outline 1. An overview on hadrons production in high energy heavy ion collisions 2. Transverse flow of the Quark-Gluon matter 3. Jet-medium interactions 4. Ridge phenomena, and the correlated emission model (CEM) 5. Summary 2 1.Overview on hadron production in heavy ion collisions From Bevalac to RHIC, and to LHC Bevalac:U with 2 GeV/N on U-target AGS-RHIC: Au+Au WNN=200GeV SPS-LHC: Pb+Pb WNN=5.5TeV 3 STAR Collaboration Brazil Universidade de Sao Paolo China IHEP - Beijing USTC - Hefei IMP - Lanzhou SINR - Shanghai Tsinghua University IPP - Wuhan England University of Birmingham 419 collaborators 44 institutions 9 countries France IReS Strasbourg SUBATECH - Nantes Germany MPI – Munich University of Frankfurt India IOP - Bhubaneswar VECC - Calcutta Panjab University University of Rajasthan Jammu University IIT - Bombay Poland Warsaw University of Technology Russia MEPHI – Moscow LPP/LHE JINR - Dubna IHEP-Protvino U.S. Labs Argonne National Laboratory Brookhaven National Laboratory Lawrence Berkeley National Laboratory U.S. Universities UC Berkeley / SSL UC Davis UC Los Angeles Carnegie Mellon University Creighton University Indiana University Kent State University Michigan State University City College of New York Ohio State University Penn. State University Purdue University Rice University University of Texas - Austin Texas A&M University University of Washington Wayne State University Yale University 4 Energy range on cosmological scale 5 Sorenson, Winterworshop 08 6 d/dNch vs Nch Au + Au sNN = 200 GeV Nch: # of charged pcles in an event b: Distance between 2 centers Npart: # of participating NN pairs “Centrality”: Area-bins from right to left. b 7 Outgoing particle: Kinematic labels pT y q f x Pseudorapidity = ln( cot q/2 ) Transverse mom pT Azimuthal angle f 8 2. Transverse flow of the Quark-Gluon matter Is Quark-Gluon matter really produced in HIC? • If it is, particles produced should not be incoherent superposition of those from NN collisions. • The hadronic matter should be regarded as a macrosystem of its own. Expect a collective behavior following up the explosion. • Observation of transverse flow signals that the macrosystem has been formed. – radial flow – elliptic flow 9 Evidence on radial flow pT-distribution: ~exp[-pT/T*] Shuryak 04 Light pcle: T*=TgT PbPb, A=208 T* sNN~25GeV Massive: T*~mvT As A increases, SS, A=32, pp • the line becomes steeper • collective flow becomes more pronounced 10 Blast Wave Model AA-collision Central Intermediate Peripheral pp-collision p, K, N Spectra (STAR) Each Nch-bin is fitted by freeze-out:Tkin & flow speed: b In the central region collective flow speed reaches 0.6. 11 Hydrodynamic-model Heinz05, A review Relativistic hydro-equations of ideal fluid Conserv. of local baryon number, energy and momentum , leads to ( with ) (1) (2) Here cs is the speed of sound, with (1) Decrease of nB and e due to local expansion (2) Acceleration is due to local pressure gradient 12 v2 a measure momentum anisotropy V2 = [ <px2> -<py2>] / [ <px2> +<py2>]=< cos2f >, dN/df = dN/df(0o)[ 1 + V2 cos2f+ …] y y f x t anf Spatial anisotropy x py px momentum anisotropy 13 Elliptic Flow Kolb, Sollfrank, Heinz Equal energy density lines 14 Hydro model: pT dependence. Kolb&Rapp03 Model describs pT spectra of various species & centralities • Decoupling temperature assumed, 165MeV (blue), 100 MeV (red). • Early thermal equilibrium: t0~0.6 f/c is used. 15 Comparison between hydro-model and the v2 data midrapidity : || < 1.0 STAR PRL87 (2001)182301 STAR Model PRL 86 (2001) 402 Peripheral Central Centrality dependence: Overall agreement, except near peripheral region where model prediction v2 is larger than data. PT-curves for pions and protons are confirmed by the data. More accurate kaon data are needed. 16 3. Jets-medium interactions Jet quenching Nuclear Mod. factor Large pT suppression d 2 N AA / dpT d RAA ( pT ) TAAd 2 NN / dpT d is highly suppressed in Au+Au vs in d+Au. Suppression extends to all accessible pT. Away side jet: Suppressed in Au+Au Trigger x Away-side jet suppressed Presence in p+p and in d+Au. 17 Ridge phenomena: 2-particle correlation STAR data. Putschke, QM06 dN/dD vs D R: Plateau, J: Peak Differences: trig. and assoc Dtrig-assoc Dfftrig-fassoc Central: 3 < pTtrig< 4 GeV, pTassoc > 2 GeV 18 A ridge model without early therm equilib. Hwa 08 CC, Hwa, Yang 08 • Assume many semi-hard jets (2-3 GeV) are produced near the surface of the initial almond. • Jets-medium interaction generates a layer of enhanced thermal partons. They are the ridge particles, R. • The bulk thermal medium background, B is isotropic. • Total thermal partons yield: F F v2(pT,b) is determined based on phenomenological properties of B(pT) and R(pT) f 19 Comparison between the ridge model and the v2 data Recombination model: ET up to 5 GeV. Pions: Include TT, TS, SS Protons: TTT, TTS, TSS V2: Pions V2: Protons ET<1, TT only. 20 Trigger Azimuth dependence Feng, STAR (QM08) Feature: For 20-60% the yield decreases rapidly with fs. y Assoc f 3 < pTtrig< 4 GeV; 1.5 < pTassoc< 2 GeV Beam Trigger fs x 21 4. Correlated emission model (CEM) CC, Hwa 09 A scenario on the ridge formation • A semi-hard collision at P. One parton exits as trigger, the other absorbed by the medium. • Exit parton traverses through the medium, accompanied by soft radiations. • Absorption of radiation energy locally energizes the thermal partons • Enhanced thermal partons carried by the flow. They lead to the formation of ridge particles. y trigger x P(x0,y0) x flow 22 Trigger direction vs flow direction Matched case |fs –y|~0: Enhanced thermal partons flow in the same direction, leading to strong ridge. x Local flow along y (green) Mismatched case |fs – y|~900 : Enhanced thermal partons dispersed over a wide range of f - weak ridge. Trigger along fs (red) 23 Ridge yield per trigger (including all pts) fs (x0,y0) t Interaction at one point: (x0, y0) • P(x0, y0, t): Probability parton traverses t and emerges as a trigger. • Ridge yield at f with trigger fs due to interaction at x0,y0 C y t’ f G fs y t’ 24 Comparison with the data CEM fit to the fs data Parameters: • Thickness of interaction layer is ~ RA/4 • Gaussian-width of fs-y cone ~200. Normallized to fit one point at lowest fs for 0-5%. 25 Comparison with Df data in 20-60% region Left panel Shift of the peak from Df=0: b=0 ~40% out in • Matched “In”region (Df<0) is larger at ~40% shift Df= f -fs • Mismatched “out”region (Df>0) is smaller at ~40% 26 Model predictions Df curves: The left-shift in the Asymmetry vs fs peak position as a function of fs. 27 R-yield vs b (or Npart) at various fs We predict decrease of yield/trigger as b is decreased at small fs 28 5.Summary • Some well known features are: – Experimental evidence of transverse collective flows – Hydrodynamic model has been success in predicting pT spectrum and v2 data at least up to 1GeV – There are strong jet-medium interactions, and the medium strongly absorptive. • More recent discovery of Ridge phenomenon is discussed. – Ridge particles are generated in jet-medium interaction. They are the enhanced thermal partons. – CEM assumes there is strong correlation between the trigger direction and the flow direction. – Phenomenological application and further test of the model are presented. 29