glasma simulations turbulence and kolmogorov spectrum
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Glasma Simulations, Turbulence, and Kolmogorov Spectrum Kenji - PowerPoint PPT Presentation

Glasma Simulations, Turbulence, and Kolmogorov Spectrum Kenji Fukushima (Department of Physics, Keio University) Dec. 12, 2011 @ Thermalization (Heidelberg) 1 Glasma = (Color) Glass + Plasma Intuitive Picture of Glasma * Boost Invariance *


  1. Glasma Simulations, Turbulence, and Kolmogorov Spectrum Kenji Fukushima (Department of Physics, Keio University) Dec. 12, 2011 @ Thermalization (Heidelberg) 1

  2. Glasma = (Color) Glass + Plasma Intuitive Picture of Glasma * Boost Invariance * Coherent Fields (amp. ~ 1/ g ) * Flux Tube (size ~ 1/ Q s ) * Expanding * Unstable in h (cascade to UV) * Hydro Input? Dec. 12, 2011 @ Thermalization (Heidelberg) 2

  3. Formulations Initial Condition MV Model Color source distribution is Gaussian (No spatial correlation in transverse direction) Solve the Poisson Eq Gauge Configuration Dec. 12, 2011 @ Thermalization (Heidelberg) 3

  4. Formulations Time Evolution η =τ − 1 ∂ τ A η i =τ∂ τ A i , E E − 1 D η F η i +τ D j F ji i =τ ∂ τ E − 1 D j F j η η =τ ∂ τ E Classical Equations of Motion in the Bjorken Coordinates (in the “temporal” gauge A t = 0) Ensemble Average 〈〈 O [ A ]〉〉 ρ t , ρ p ∼ ∫ D ρ t D ρ p W x [ρ t ] W x ' [ρ p ] O [ A [ρ t , ρ p ]] Stress Tensor (Energy, Pressures) Quantum fluctuations partially included in the initial state Dec. 12, 2011 @ Thermalization (Heidelberg) 4

  5. Example of Simulations Demonstration with smooth source (one flux-tube) 1 U 1 ( 1 ) ( x , y )] tr [τ Dec. 12, 2011 @ Thermalization (Heidelberg) 5

  6. Example of Simulations E 1 True electric field ∼ E i / τ Dec. 12, 2011 @ Thermalization (Heidelberg) 6

  7. Example of Simulations E h Dec. 12, 2011 @ Thermalization (Heidelberg) 7

  8. Example of Simulations U 1 Dec. 12, 2011 @ Thermalization (Heidelberg) 8

  9. Example of Simulations U h A η , E i fast modes (multiple time scales) Dec. 12, 2011 @ Thermalization (Heidelberg) 9

  10. Real Simulations Initial Transverse Spectrum Evolution of Longitudinal Spectrum Fukushima-Gelis Dec. 12, 2011 @ Thermalization (Heidelberg) 10

  11. Some Known Facts about Glasma Simulation Free streaming after 1/ Q s P L ≃ 0 Glasma instability at 100~1000/ Q s Instability ends when non-Abelianized Then spectrum shows asymptotic scaling (Tomorrow...) Fukushima-Gelis Romatschke-Venugopalan Dec. 12, 2011 @ Thermalization (Heidelberg) 11

  12. Questions Physics Problems 1. What would be the role of the color flux-tube structure in the thermalization? 2. Why is the time scale of the Glasma instability such long; relevant time scale? 3. What is the very initial rise? Sensitive to the initial condition; deterministic? Technical Problems 1. Why not continuum but lattice? 2. Implementation of the JIMWLK improvement Dec. 12, 2011 @ Thermalization (Heidelberg) 12

  13. Color Flux-Tube Structure In the MV model no color flux-tube is included. (No “serious” simulation with color flux-tube structure exists so far to the best of my knowledge.) If the flux-tube is implemented, the Nielsen-Olesen instability should be seen. (Fujii, Itakura, Iwazaki) (Impact on CME) ω 2 = p z 2 + 2 ∣ g B ∣( n + 1 / 2 )+ m 2 − 2 s g B Transverse correlation from the JIMWLK evolution. Solving the Langevin equation... (Weigert) Dec. 12, 2011 @ Thermalization (Heidelberg) 13

  14. Large Amplitude in SU(2) Gauge fields as angle variables No problem if we use the continuum variables... Why we stick to the link variables...? Dec. 12, 2011 @ Thermalization (Heidelberg) 14

  15. Initial Rise Still weak but seen till ~1/ Qs Implication? Wrong choice of initial configuration? What is the initial spectrum? Only quantum? Dec. 12, 2011 @ Thermalization (Heidelberg) 15

  16. When Turbulent? Reynolds number R = U 0 L ν L – typical size of the system U – typical velocity of the system n – viscosity From Wikipedia Dec. 13, 2011 @ Thermalization (Heidelberg) 16

  17. When Turbulent? Typically a flow becomes turbulent for R ~ 10 3 Reynolds number in a turbulent flow R = u ( l ) l ν l – typical scale of eddy size u – typical size of eddy velocity n – viscosity Larger Eddies → Smaller Eddies → Kolmogrov (Smallest) Scale (stabilized by viscosity) Dec. 13, 2011 @ Thermalization (Heidelberg) 17

  18. Reynolds Number In many cases people would think as follows: R ∼ (Inertial Term) (Viscous Term) 4 ex) 3 η+ζ s ∂ s ∂ τ = s τ + 1 R (τ)= T τ 4 2 T τ 3 η+ζ =− s τ ( 1 − R − 1 ) More useful to think R in turbulence as: R ∼ (Time Scale of Molecular Motions) (Time Scale of Turbulent Spreading) for fixed box size Turbulence is much for efficient for (heat) transport Dec. 13, 2011 @ Thermalization (Heidelberg) 18

  19. Question What is the effective theory of QCD in the limit of ? R →∞ Hint: Scaling Analysis Dec. 13, 2011 @ Thermalization (Heidelberg) 19

  20. Kolmogorov Scalings Energy spectrum l d : Kolmogorov Smallest Scale This is only one typical output from scaling. Dec. 13, 2011 @ Thermalization (Heidelberg) 20

  21. Kolmogorov Hypothesis Scaling functions of n and e (in a homogeneous isotropic turbulence) Kolmogorov Length Scale ∼ η=ν 3 / 4 ε − 1 / 4 1 / 2 ε − 1 / 2 Kolmogorov Time Scale ∼ σ=ν Only dependence on e (in an inertial region up to the Kolmogorov length scale) Velocity p -point Function 2 / 3 r 2 / 3 S 2 ( r )= C ε p / 3 r p / 3 S p ( r )= C p ε Dec. 13, 2011 @ Thermalization (Heidelberg) 21

  22. Dimensional Analysis Safe from gauge ambiguity A τ = 0(gauge) A η ∝ τ 2 = 0 at τ= 0 Dec. 13, 2011 @ Thermalization (Heidelberg) 22

  23. Questions The true question is not whether it is Kolmogorov or not, but the true question is whether the Kolmogorov hypothesis holds or not... Diagrammatic derivations (Wyld-Shut'ko theory, Hopf theory, etc...) Dec. 13, 2011 @ Thermalization (Heidelberg) 23

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