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Yevgeny Krivolapov, Michael Wilkinson, SF Liad Levy, Moti Segev. Transport in potentials random in space and time: From Anderson localization to super-ballistic motion. Physics of Noise. Is noise uninteresting? Rules of noise? Universality classes of noisy behavior? - PowerPoint PPT Presentation
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Transport in potentials random in space and time: From Anderson
localization to super-ballistic motion
• Yevgeny Krivolapov, Michael Wilkinson, SF
• Liad Levy, Moti Segev
Physics of Noise
• Is noise uninteresting?
• Rules of noise?
• Universality classes of noisy behavior?
• Random can be systematic!!
• Central limit theorem
• Statistical Mechanics!!
Optics : Transverse Localization Scheme
ˆ, , , , i kz wtE x y z A x y z e x
2
0
1, ,
2
A ki A n x y z Az k n
21
,2
i V r tt m
Optics Solid State Physics
0k n n V
0)(2
2
02
E
trE
Wave Equation
+- Scalar and Time harmonic- slow variations of index of refraction- slowly varying amplitude solution
z tA
1
2
2
A A
z z
, , de brogliek p
Suggested by De Raedt, Lagengijk & de Vries (PRL 1987)
Disorder and Anderson Localization
Disordered Potential:
Localized StatesTypical scale ξ
The wave remains confined in some region of the potentialPhilip W. Anderson, 1958 (Nobel Prize 1977)
- Localization Length
Periodic Potential:
Bloch waves (extended states)
xV
A wave packet propagating freely through the medium exhibits
Ballistic Transport/Diffraction
2
2,
2
r ti V r
t m
2
2,,
2
r ti
t mtV r
What happens if the disorder is also random in time?
Localization is destroyed – but what else ?
Experimental Method – optical induction in a photorefractive We utilize the photorefractive screening effect inside a 10mm-long SBN:60 crystal, in which separation of optically-excited charges (electrons) creates a varying electric space-charge field, which in turn induces a local change in the refractive index via the electro-optic effect.
Ensemble average on many disorder realizations
Fourier plane
Kx
Ky
Random phase
2
,1
expN
randn z n
n
I C ik r ik z i
DIFFUSER at Fourier plane
z
“Writing” the z (time) dependent refractive index (potential) . , ,n x y z
1
0 02 /corr rZ K K n K
Same kz for all plane waves yields an Interference pattern constant in z.
rK
KFourier plane
Kx
Ky
Different kz yields z- variations. Correlations distance in z estimated by the beating length (z) of the 2 most separated plane waves
2
, ,1
expN
randn z n n
n
I C ik r ik z i
z-variations in the refractive index
0z0z
0z micron
Theory for Particles in 1DInterest in spreading to high momentum
Wave nature is probably not important.
2
( , )2
vH V x t
Natural to use Fourier expansion in optics and in atom optics
1( , ) m m
Ni k x t
mm N
V x t A eN
*m mA A
* 2,
0m m n
m n n m
A A A
A A
mA Independent random variables
mass=1
03
DPP
t v v v
2 2/5~v t
5
/5
1,
d
vP v t g
t t
Scaling solution
Typically for large
t1/5
6/5
v t
x t
Class 1
2. Class 2
max0D v v v
res naxmm
m
v vk
truncated as is the case in many
experiments in optics and atom optics
3. Class 3 Singular correlations
2(..)exp[ ]D v v
(color online) A phase-space, x'=x-p^{\text{res}}t,p , for two overlapping resonances. The double arrows indicate the region of the resonances. Resonances (1) and (2) overlap. Different colors (shades) describe different trajectories. The horizontal black solid and dashed lines, designate the edges of the resonance chains. The initial conditions were uniformly distributed on the p axis (x(t=0)=0). The system was integrated up-to t=10^4 (dimensionless variables).
0 1 2 3 4 5 6 7 8 9 10
x 106
0
0.5
1
1.5
2
2.5
3
3.5
4x 10
-3
t
<p
2 >
N=300N=200N=100Theory
(color online) as a function of t . Dashed gray line are numerical solution of the equation of motion for H for 1000 initial conditions taken from a Gaussian distribution and averaged over 10 realizations of the potential, V . Different shades and styles of lines designate different N (see legend). The solid thick line is the numerical solution of the Focker-Planck equation. The parameters are, kR=0.1 and A=1e-4.
2p
1D-wide distribution of the initial conditionsDistribution of Fourier components of the potentialuniform
0 0.5 1 1.5 2 2.5 3
x 105
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
x 10-3
t
<p2 >
(color online) Same as previous figure, but for a two-dimensional system, for N=800 and parameters commonly used in the experiment, kR=0.0294 and A=2.06e-4.
2D –Gaussian distribution of the Fourier componentsOf the potential
A log-log plot of average squared velocity as a function of time for one dimensional system with an optical potential and a uniform distribution of wave-numbers over a segment. The blue dots represent the result of the Monte-Carlo solution averaged over 20 realizations and the black solid line is the numerical solution of the Fokker-Planck equation for the velocity. The dashed black and red lines are guides for the eye with the corresponding slopes of 2 , 1 and 0. The initial condition was a narrow distribution of velocities for the Fokker-Planck and x=v=0 for the Monte-Carlo calculation. The parameters used for this simulation are, V0=1e-4 , kr=0.1 .
A log-log plot of average squared velocity as a function of time for a two dimensional system with an optical potential and a uniform distribution of wave-numbers over a disk. The blue dots represent the result of the Monte-Carlo solution averaged over 20 realizations and the black solid line is the numerical solution of the Fokker-Planck equation for the velocity. The dashed black and red lines are guides for the eye with the corresponding slopes of 2 ,1. The initial condition was a narrow distribution of velocities for the Fokker-Planck and x=v=0 for the Monte-Carlo calculation. The parameters used for this simulation are, V0=1e-2 , kr=0.1 .
summary
1. A formula for the diffusion coefficient in momentum in terms of the distribution function of the Fourier
components of the potential was developed. Natural
for potentials used in optics and atom optics 2. Classification into Universality classes
and Identification of new classes.
3. Identification of the uniform acceleration regime for short time.
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