Koichi Murase A, Tetsufumi Hirano B The University of Tokyo A, Sophia University B Hydrodynamic...
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Transcript of Koichi Murase A, Tetsufumi Hirano B The University of Tokyo A, Sophia University B Hydrodynamic...
Koichi MuraseA, Tetsufumi HiranoB
The University of TokyoA,Sophia UniversityB
Hydrodynamic fluctuations and dissipation in an integrated
dynamical model 2015/9/29,
QM2015
2015/9/29 1
PartX (1/1)
• Final observables– flow harmonics vn, etc.
• Initial-state fluctuations– nucleon distribution– quantum fluctuations
Fluctuations in heavy-ion collisions
2015/9/29 2
Response ofMatter
EoS, η, ζ, τR, λ, …
0collision axis
time
PartX (1/1)
• Final observables– flow harmonics vn, etc.
• Initial state fluctuation– nucleon distribution– quantum fluctuations
Fluctuations in heavy-ion collisions
2015/9/29 3
Other fluctuations+ hydro fluctuations+ jets/mini-jets+ critical phenomena+ …
0collision axis
time
Relativistic hydrodynamics
( ~ QGP)
PartX (1/1) Hydrodynamic FluctuationsHF = Thermal fluctuations of dissipative currents
2015/9/29 4
ensemble/eventaveraged
thermal fluctuationsat each spacetime x
e.g.
V: 3+1 dim. volumedecreaseanisotropy
HF is important in e-by-e description of HIC
Balance
Fluctuation-Dissipation RelationFDR
HF
increaseanisotropy
Integrateddynamical model
2015/9/29 5
PartX (1/1) Integrated Dynamical Model
2015/9/29 6
0collision axis
time
2. (3+1)-dim. Relativistic Fluctuating HydrodynamicsEoS: lattice QCD&HRG, η/s = 1/4π
1. Initial conditionMC-KLN
5. Analysis of hadron distribution
3. Particlization at Tsw = 155 MeV
Cooper-Frye formula: f + δf
4. Hadronic cascades (JAM)
Updated version of T. Hirano, P. Huovinen, KM, Y. Nara, PPNP 70, 108 (2012) [arXiv:1204.5814]
PartX (1/1) Setup: Target
Collision system Au+Au, √sNN = 200 GeV
Fluctuations• Initial-state fluctuations from nucleon positions• Hydrodynamic fluctuations
Comparison between the effects of both fluctuations
2015/9/29 7
Au Au
PartX (1/1) Setup: IS Fluctuations and HF• Initial condition
Centrality: Minimum biasModel: MC-KLN (CGC)
• (3+1)-dim Relativistic Fluctuating Hydrodynamics:
2015/9/29 8
x-y plane ηs-x plane
Type η/s HF Hydro Cascades
Viscous 1/4π none 100 k events 10 M (100k 100)☓
Fluctuating 1/4π λ = 1.0 (fm) 100 k events 10 M (100k 100☓ )
λ: HF cutoff length scale (Gaussian width)
PartX (1/1)Numerical Simulation: Evolution
2015/9/29 9
Hydrodynamic evolution
ηs
x [f
m]
ηs
x [f
m]
y [f
m]
y [f
m]
x [fm]
x [fm]
without HF
with HF
conventional2nd-order
viscous hydro
2nd-orderfluctuating hydro
τT ττ
PartX (1/1) vn{EP} vs pT
2015/9/29 10
EP: η-sub,|η| = 1.0-2.8
0-5%
• HF increase anisotropies• larger effects in a higher order HF V∝ -1/2
PartX (1/1) vn{EP} vs pT
2015/9/29 11
EP: η-sub,|η| = 1.0-2.8
• Central: (IS Fluct.) + (HF)• Non-central: (IS Fluct.) + (HF) + (Collision geometry)
20-30%
PartX (1/1) vn{2m} vs pT
2015/9/29 12
• v{4}2 = v{6}2 > v{2}2
• flow fluctuations σ: larger with HF
~ flow fluct.
v{2}2
= v2 + σ2,v{4}2 , v{6}2
~ v2 - σ2,
20-30%
PartX (1/1) E-by-E distribution of v2
2015/9/29 13
v{2}2
= v2 + σ2,v{4}2 , v{6}2
~ v2 - σ2,
• Broader distribution of v2
20-30%
PartX (1/1)Event-plane fluctuations by HF
2015/9/29 14
• Event-plane decorrelation by HF
20-30%
CMS, arXiv:1503.01692
J. Jia, and P. Huo,
Phys. Rev. C 90, 034905 (2014),
Summary
2015/9/29 15
PartX (1/1) Summary• Hydrodynamic fluctuations
= thermal fluctuations of hydrodynamics• Relativistic fluctuating hydrodynamics
in an integrated dynamical model – increase of anisotropies– larger effects in higher order vns– larger flow fluctuationsHF: Important in extracting the transport properties
• Outlook– Scan viscosity η & cutoff λ, and compare them to data– Modifications of f(p, λ), η(λ), etc. by cutoff λ.
2015/9/29 16
Backup
2014/08/06 17
Setup A:HF only
2015/7/27 18
PartX (1/1) Setup A: HF only• Initial condition
b = 6.45 fm ( ~ Centrality 20%)Averaged MC-KLN (CGC)
• (3+1)-dim Relativistic Fluctuating Hydrodynamics:
2015/7/27 19
x-y plane ηs-x plane
Type η/s HF Hydro Cascades
Ideal 0 none 1 event 104 events
Viscous 1/4π none 1 event 104 events
Fluctuating 1/4π σ=0.8, 1.0, 1.2 (fm) * 104 events 3☓ 104 events 3☓
σ: HF cutoff length scale
PartX (1/1)Numerical Simulation: Evolution
2015/7/22 20
A: Hydrodynamic evolution
ηs
x [f
m]
ηs
x [f
m]
y [f
m]
y [f
m]
x [fm]
x [fm]
without HF
with HF
conventional2nd-order
viscous hydro
2nd-orderfluctuating hydro
τT ττ
PartX (1/1) A: dNch/dη
• Increase entropy production by HF• Larger effect with a shorter cutoff length σ
2015/7/22 21
PartX (1/1) A: pT-spectra (pions)
• High-pt particles increase with HF accelerated by local flows
2015/7/22 22
local flows by HF
PartX (1/1) A: Elliptic flow v2{2}
• decreased by viscosity, unchanged by HF local flows do not change the global flow profile
2015/7/22 23local flows by HF
PartX (1/1) A: Elliptic flow v2{2}(η)
• Decrease with viscosity, increase with HF increase of high-pT particles
2015/7/22 24
v2(pT) in the last slide
High-pT particles
v2
η
PartX (1/1) B: pT-spectra (pions)
2015/7/22 25
• Points: PHENIX PRC69 (2004) 034909• Black lines: ideal hydrodynamics• Blue lines: viscous hydrodynamics• Red lines: fluctuating hydrodynamics0-4%, 5-10%, 10-15%, 15-20%, 20-30%,30-40%, 40-50%, 50-60%, 60-70%, 70-80%from top to bottom (multiplied by 104-10-5)
• Increase of high-pT pions:larger in peripheral collisions larger thermal fluctuationsin smaller systems
• Correction of distribution inCooper-Frye formula by HF?
Setup B:IS fluctuations + HF
2015/7/27 26
PartX (1/1) Elliptic flow v2(η)
• v2(fluctuating) > v2(ideal) in central collisionsCentral: (IS Fluct.) + (HF)Non-central: (IS Fluct.) + (HF) + (Collision geometry)
• Same order with IS fluctuations2015/9/29 27
ηp ηp
10-15%0-5%
PartX (1/1) v2{2}(pT), v3{2}(pT)
• v2 increase with HF in central collisions
• Similar behavior for v3
2015/9/29 28
v2 v3
PartX (1/1) v2{2} vs pT
• Calculations: η/s = 1/4pi2015/9/29 29