I. Correlations: PHOBOS Data, Flux Tubes and Causality II. Ridge: Transverse Flow, Blast Wave Long Range Correlations and Hydrodynamic Expansion Sean Gavin.

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Presentation transcript:

I. Correlations: PHOBOS Data, Flux Tubes and Causality II. Ridge: Transverse Flow, Blast Wave Long Range Correlations and Hydrodynamic Expansion Sean Gavin Wayne State University III. Glasma Flux Tubes IV. STAR data: Au+Au and Cu+Cu V. Questions: A. STAR Rapidity Dependence? B. How Robust is the Ridge?

PHOBOS: Long Range Correlations long range correlations

Flux Tubes  Long Range Correlations flux tubes: longitudinal fields early on fields  gluons + quarks causally disconnected -- diffusion can’t erase these correlations correlated partons from same flux tube Dumitru, Gelis, McLerran, Venugopalan, arXiv:

Flux Tubes  Long Range Correlations only initial-state correlations affect large intervals correlations: flux tube number and positions vary event by event diffusion can’t erase correlations for kinematic viscosity SG & Abdel-Aziz, PRL 97 (2006)

Transverse Flow  Near-Side  Peak bulk correlations  longitudinal string fragmentation transverse boost thermalization and flow flow  narrow opening angle string position Voloshin; Pruneau, Gavin, Voloshin; Gavin, Moschelli, McLerran; Shuryak; Mocsy & Sorenson

Flow Works! Takahashi, Tavares, Qian, Grassi, Hama, Kodama, Xu Phys. Rev. Lett. 103, (2009) see also: Werner, Karpenko, Pierog, Bleicher, Michailov arXiv: correlations NEXUS strings transverse boost SPHERIO hydro Hydrodynamics

Flux Tubes in Glasma gluon rapidity density N FT flux tubes fluctuations in the number of flux tubes long range glasma fluctuations Dumitru, Gelis, McLerran & Venugopalan; SG, McLerran & Moschelli

Glasma + Blast Wave  Ridge Height Glasma Q s dependence: 200 GeV Au+Au  62 GeV, Cu+Cu wounded nucleon model (dashed) fails pair correlation function -- Cooper Frye freeze out blast wave  f (p,x) scale factor to fit 200 GeV only Glasma energy dependence SG, McLerran, Moschelli et al. PRC 79 (2009) N bin /N part STAR Data, J.Phys. G35 (2008)

Peak Amplitude of the Soft Ridge Ridge amplitude for CuCu 200 GeV, all p t STAR data, preliminary bands: uncertainty of blast wave parameters and Q s extrapolated from AuAu Moschelli & SG 2 N bin /N part p t min CuCu 200 GeV, most central Amplitude decreases for higher p t min Ridge amplitude vs. Centrality, all p t  L. Ray’s talk

Angular Width of the Soft Ridge near side  width decreases with increasing centrality AuAu 200 GeVAuAu 62 GeVCuCu 200 GeV STAR data, preliminary   bands: 20% uncertainty in experimental definition of peak Moschelli & SG 2 N bin /N part

Ridge: from Soft to Hard Cu+Cu 200 GeV flow alone flow + jets STAR preliminary p t min rr Hard: Jets + quenching Bulk: Glasma + flow Bulk - Hard correlations STAR  with low p t cutoff G. Moschelli & SG, Nucl. Phys. A836 (2010) 43 Jet quenching  near side bias may explain hard ridge Shuryak, Phys Rev C76, ,2007

The Ridge is Robust Can diffusion (multiple scattering) drive correlated particles to radial flow viscous diffusion Langevin noise azimuthal ridge width J.Phys. G32 (2006) L37 p t correlations SG, G. Moschelli, J.Phys.G35 (2008) ; Pang et al., Phys.Rev.C81 (2010) flow  most particles move radially pythia + small radial boost  ridge Correlations in relative , not position NEXSPERIO: ideal hydro  ridge  F. Grassi’s talk

The Ridge is Robust flow  most particles move radially pythia + small radial boost  ridge Correlations in relative , not position NEXSPERIO: ideal hydro  ridge  F. Grassi’s talk Can diffusion (multiple scattering) drive correlated particles to radial flow viscous diffusion Langevin noise azimuthal ridge width J.Phys. G32 (2006) L37 p t correlations SG, G. Moschelli, J.Phys.G35 (2008) ; Pang et al., Phys.Rev.C81 (2010)

Rapidity Dependence CGC long range correlations explain PHOBOS triggered ridge Dusling, Gelis, Lappi, Venugopalan arXiv: J.Phys. G32 (2006) L37 rapidity width p t correlations number correlations viscous diffusion can account for p t correlations SG & Abdel-Aziz, PRL 97 (2006) ; G. Moschelli, J.Phys.G35:104084,2008 why does rapidity width increase with centrality? why are number and p t correlations so different? Question: what about STAR centrality dependence? J.Phys. G35 (2008)

Summary: the Ridge, the Glasma, and Radial Flow PHOBOS covers large rapidity interval  isolate CGC contribution PHOBOS covers large rapidity interval  isolate CGC contribution STAR measurements |  | < 1 interesting implications STAR measurements |  | < 1 interesting implications blast wave fixed by single particle spectra blast wave fixed by single particle spectra Glasma fixed by dN/dy and 200 GeV Au+Au Glasma fixed by dN/dy and 200 GeV Au+Au Predict energy, centrality, system size and p t dependence Predict energy, centrality, system size and p t dependence Long range correlations  new info on particle production Blast wave + Glasma describes height and azimuthal width of both Hard and Soft Ridge Azimuthal width vs. p t min can distinguish flow from jets

Hard Ridge: Jet + Associated Particles hard ridge: near side peak peaked near    broad in  STAR: arXiv: high p t trigger  measure yield of associated particles

Soft Ridge: Untriggered Correlations two particle correlations with no jet tag central STAR: arXiv: soft + hard ridges similar peaked near    broad in  measure: peripheral common features  width increases with centrality peripheral ~ proton+proton

Hard Ridge yield Moschelli & SG Jet quenching  near side bias may explain hard ridge Shuryak, Phys Rev C76, ,2007 Find: jets plus flow fits hard ridge ~ 60% flow for Compute yield of associated particles and and angular shape dN/dp t constrains jet fraction jet scale  Q s ; take 1.5 GeV STAR data, PRC, 80, (2009)