Hydrodynamic modelling for relativistic heavy-ion collisions at RHIC and LHC

Song, Huichao

doi:10.1007/s12043-015-0971-2

Cited by 27 publications

(28 citation statements)

References 126 publications

(195 reference statements)

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“…One of the main goal of the heavy-ion program at Relativistic Heavy Ion Collider (RHIC) and the Large Hadron Collider (LHC) is to create a novel state of matter, the Quark-Gluon Plasma (QGP), and study its properties. The anisotropic flow, that evaluates the anisotropy of the momentum distribution of final produced particles, is sensitive to both initial state fluctuations and the QGP transport properties [1][2][3][4][5][6][7]. Fruitful flow data [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23] and the successfully descriptions by hydrodynamic calculations [24][25][26][27][28][29][30][31], reveale that the created QGP fireball behaves like a nearly perfect liquid with a very small specific shear viscosity η/s close to the conjectured lowest bound 1/4π [32].…”

Section: Introductionmentioning

confidence: 99%

Hydrodynamic collectivity in proton–proton collisions at 13 TeV

Zhao

Zhou

et al. 2018

Physics Letters B

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In this paper, we investigate the hydrodynamic collectivity in proton-proton (p-p) collisions at 13 TeV, using iEBE-VISHNU hybrid model with HIJING initial conditions. With properly tuned parameters, our model simulations can remarkably describe all the measured 2-particle correlations, including integrated and differential elliptic flow coefficients for all charged and identified hadrons (K 0 S , Λ). However, our model calculations show positive 4-particle cumulant c2{4} in high multiplicity pp collisions, and can not reproduce the negative c2{4} measured in experiment. Further investigations on the HIJING initial conditions show that the fluctuations of the second order anisotropy coefficient ε2 increases with the increase of its mean value, which leads to a similar trend of the flow fluctuations. For a simultaneous description of the 2-and 4-particle cumulants within the hydrodynamic framework, it is required to have significant improvements on initial condition for pp collisions, which is still lacking of knowledge at the moment.

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Section: Introductionmentioning

confidence: 99%

Hydrodynamic collectivity in proton–proton collisions at 13 TeV

Zhao

Zhou

et al. 2018

Physics Letters B

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“…Hydrodynamics and hybrid models are successful tools to simulate the collective expansion of the QGP fireball and to study various flow observables at RHIC and the LHC [10][11][12][13][14][15]. The past research has revealed that the created QGP firea e-mail: Huichaosong@pku.edu.cn balls fluctuate event-by-event and behave like nearly perfect liquids with very small specific shear viscosity [13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Collective flow in 2.76 and 5.02 A TeV Pb + Pb collisions

Zhao

Song

2017

Eur. Phys. J. C

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In this paper, we study and predict flow observables in 2.76 and 5.02 A TeV Pb + Pb collisions, using the iEBE-VISHNU hybrid model with TRENTo and AMPT initial conditions and with different forms of the QGP transport coefficients. With properly chosen and tuned parameter sets, our model calculations can nicely describe various flow observables in 2.76 A TeV Pb + Pb collisions, as well as the measured flow harmonics of all charged hadrons in 5.02 A TeV Pb + Pb collisions. We also predict other flow observables, including v n ( p T ) of identified particles, eventby-event v n distributions, event-plane correlations, (normalized) symmetric cumulants, non-linear response coefficients and p T -dependent factorization ratios, in 5.02 A TeV Pb + Pb collisions. We find many of these observables to remain approximately the same values as the ones in 2.76 A TeV Pb + Pb collisions. Our theoretical studies and predictions could shed light to the experimental investigations in the near future.

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“…In the following calculations, we set τ 0 = 0.6 fm/c, η/s = 0.08, and neglect the bulk viscosity and heat conductivity [68,74]. We use the multiplicities, particle ratios, and the mean values of (anti-)protons, (negative) positive charges [11,12,70] to fix the freeze-out parameters in Eq.…”

Section: The Model and Setupsmentioning

confidence: 99%

Noncritical fluctuations of (net) charges and (net) protons from the iebe-vishnu hybrid model

Song

2018

Phys. Rev. C

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In this paper, we investigate the non-critical fluctuations of (net) charges and (net) protons in Au+Au collisions at √ s NN = 7.7, 39 and 200 GeV, using iEBE-VISHNU hybrid model with Poisson fluctuations added in the particle event generator between hydrodynamics and UrQMD. Various effects, such as volume fluctuations hadronic evolution and scatterings, resonance decays, as well as realistic centrality cuts and acceptance cuts have been embedded in our model calculations. With properly tuned parameters, iEBE-VISHNU roughly describe the centrality dependent moments and cumulants of (net) charges and (net) protons measured in experiment. Further comparison simulations show that the volume fluctuation is the dominant factor to influence the multiplicity fluctuations, which makes the higher moments of (net) charges largely deviate from the Poison baselines. We also find that the effects from hadronic evolutions and resonance decays are pretty small or even negligible for the multiplicity fluctuations of both (net) charges and (net) protons. PACS numbers: 25.75.Ld, 25.75.Gz, 25.75.Nq

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Hydrodynamic modelling for relativistic heavy-ion collisions at RHIC and LHC

Cited by 27 publications

References 126 publications

Hydrodynamic collectivity in proton–proton collisions at 13 TeV

Hydrodynamic collectivity in proton–proton collisions at 13 TeV

Collective flow in 2.76 and 5.02 A TeV Pb + Pb collisions

Noncritical fluctuations of (net) charges and (net) protons from the iebe-vishnu hybrid model

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