Electron-Positron Pair Production in Strong Electric Fields -

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Motivation
Theoretical Method
Calculations
Summary
Electron-Positron Pair Production in Strong
Electric Fields
Christian Kohlfürst
PhD Advisor: Reinhard Alkofer
University of Graz
Institute of Physics
Dissertantenseminar
Graz, November 21, 2012
Outlook
Motivation
Theoretical Method
Calculations
Outline
1
Motivation
Phenomenology
Quantum Electrodynamics
Concepts
2
Theoretical Method
Background Information
Derivation
3
Calculations
Aspects of Pair Production
Optimal Control Theory
4
Summary
5
Outlook
Summary
Outlook
Motivation
Theoretical Method
Calculations
Outline
1
Motivation
Phenomenology
Quantum Electrodynamics
Concepts
2
Theoretical Method
Background Information
Derivation
3
Calculations
Aspects of Pair Production
Optimal Control Theory
4
Summary
5
Outlook
Summary
Outlook
Motivation
Theoretical Method
Phenomenology
Why Pair Production?
Cite: www.slac.stanford.edu/exp/e144
Calculations
Summary
Outlook
Motivation
Theoretical Method
Phenomenology
Pair Production in Physics
Cite: www.slac.stanford.edu/exp/e144
SLAC Experiment 144a
a D. L. Burke et al., Phys. Rev. Lett. 79(9), 1997
Calculations
Summary
Outlook
Motivation
Theoretical Method
Calculations
Phenomenology
Pair Production in Physics
Cite: bnl.gov
SLAC Experiment 144a
Heavy Ion Collisions(Glasma Flux Tube) b
a D. L. Burke et al., Phys. Rev. Lett. 79(9), 1997
b N. Tanji, Ann. Phys. 325(9), 2010
Summary
Outlook
Motivation
Theoretical Method
Calculations
Summary
Phenomenology
Pair Production in Physics
Cite: www.extreme-light-infrastructure.eu
Upcoming high-intensity Laser experiments
a ELI, Grand Challenges Meeting, 2009
a
Outlook
Motivation
Theoretical Method
Calculations
Phenomenology
Pair Production in Physics
Cite: www.nrao.edu
Upcoming high-intensity Laser experiments
Neutronstars, Pulsarsa
a J. Y. Kim, arXiv:1208.1319 , 2012
Summary
Outlook
Motivation
Theoretical Method
Calculations
Phenomenology
Pair Production in Physics
Cite: www-naweb.iaea.org
Upcoming high-intensity Laser experiments
Neutronstars, Pulsars
Atomic Ionizationa
a J. R. Oppenheimer, Phys. Rev. 31, 1928
Summary
Outlook
Motivation
Theoretical Method
Calculations
Summary
Quantum Electrodynamics
QED Vacuum
Cite: www.extreme-light-infrastructure.eu
Quantum fluctuations
Dynamical object
Various Experiments: Casimir effect, Lamb shift
Outlook
Motivation
Theoretical Method
Calculations
Summary
Quantum Electrodynamics
Casimir Effect
Cite: commons.wikipedia.org
Attractive force between uncharged plates in vacuum
Zero-point energy
Outlook
Motivation
Theoretical Method
Calculations
Quantum Electrodynamics
Lamb Shift
Corrections to hydrogen spectrum
Interaction between electrons and vacuum
Summary
Outlook
Motivation
Theoretical Method
Calculations
Summary
Concepts
LASER Physics
Cite: commons.wikipedia.org
Light Amplification by Stimulated Emission of Radiation
Various possibilities for gain medium
Outlook
Motivation
Theoretical Method
Calculations
Summary
Concepts
LASER Beams
Field Strength
Spatial Coordinate
Gaussian shape
Pulsed/Continous wave operation
Interaction region approximately spatial homogeneuos
Outlook
Motivation
Theoretical Method
Calculations
Concepts
Free Electron Laser
Cite: commons.wikipedia.org
Electron Beam as lasing medium
Widely tuneable frequency → X-Ray
Summary
Outlook
Motivation
Theoretical Method
Calculations
Summary
Concepts
Pair Production
Dirac Sea Picture
Energy
Particle Band
Band Gap
0.
Antiparticle Band
Treatment of vacuum as medium
Electrons(blue band) and positrons(red band)
Outlook
Motivation
Theoretical Method
Calculations
Concepts
Applying an External Field
Energy
Multiphoton
Photon absorption P ≈
Perturbative process
N. Narozhnyi: Sov. J. Nucl. Phys. 11(596), 1970
eEτ
2m
4mτ
Summary
Outlook
Motivation
Theoretical Method
Calculations
Concepts
Applying an External Field
Energy
Schwinger
Electron tunneling P ≈ exp(−πm2 /eE)
Non-perturbative process
F. Sauter: Z. Phys. 69(742), 1931
J. S. Schwinger: Phys. Rev. 82(664), 1951
Summary
Outlook
Motivation
Theoretical Method
Calculations
Summary
Concepts
Characteristic Scales
Pair Production
Ecr = (m2 c 3 )/(eh̄)
4mτ
PM ≈ eEτ
2m
Ecr ∼ 1.3 · 1018 V /m
PS ≈ exp(−πm2 /eE)
m−1 ∼ 1.288 · 10−21 s
γ = (mτε)
−1
m = 510.998keV
ELI(Goal) vs. Optical Laser
Epeak ∼ 0.01Ecr
Epeak ∼ 10−4 Ecr
τmin ∼ 10−19 s
τmin ∼ 10−15 s
E /2mc 2 ∼ 0.005
E /2mc 2 ∼ 10−6
Outlook
Motivation
Theoretical Method
Calculations
Outline
1
Motivation
Phenomenology
Quantum Electrodynamics
Concepts
2
Theoretical Method
Background Information
Derivation
3
Calculations
Aspects of Pair Production
Optimal Control Theory
4
Summary
5
Outlook
Summary
Outlook
Motivation
Theoretical Method
Calculations
Summary
Background Information
Considerations
Goal
Describe e− and e+ in strong electric field
Requirement
Describe dynamical pair creation
Show time evolution of non-equilibrium process
Quantum fluctuations
Particle statistics
Outlook
Motivation
Theoretical Method
Calculations
Summary
Outlook
Background Information
Boltzmann Equation
Advantage
Semi-classical method
Describes behaviour of particle distribution (fluid)
Capable of describing non-eqilibrium processes
One partial differential equation
1
∂t F (t, x, p) = −
p · ∇x + F · ∇p F (t, x, p) + FCollision (1)
m
Disadvantage
Problems in describing plasma
Not applicable to Coulomb interaction
Motivation
Theoretical Method
Calculations
Summary
Outlook
Background Information
Vlasov Equation
Improvement
Expands Boltzmann equation by Maxwell equations
Capable of describing distribution of charged particles
Provides self-consistent way to treat EM-fields
Simplifies in non-relativistic limit
1
e
∂t Fi (t, x, p) = −
pi · ∇x + i E · ∇pi Fi (t, x, p)
mi
mi
∇ · E = 4πρ
(2)
(3)
Motivation
Theoretical Method
Calculations
Summary
Outlook
Derivation
Problem Statement
Quantum electrodynamic
Only QED-Lagrangian and Dirac equation is known
1
L = ψ̄(iγ µ Dµ − m)ψ − Fµν F µν
4
µ
iγ ∂µ ψ − mψ = eγµ Aµ ψ
Covariant derivative Dµ = ∂µ + ieAµ
Field strength tensor Fµν = ∂µ Aν − ∂ν Aµ
Open question
How to obtain statistical quantity F (q, t) from particle
description?
(4)
(5)
Motivation
Theoretical Method
Calculations
Summary
Outlook
Derivation
Quantisation
Vector Potential
Spatial-independent vector potential in one direction
Aµ = (0, A(t)e3 )
Very strong fields → regarded as classical
Mean field approximation(background field)
S. Schmidt et al.: Int. J. Mod. Phys. E 7(709), 1998
F. Hebenstreit: Dissertation, 2011
(6)
Motivation
Theoretical Method
Calculations
Summary
Outlook
Derivation
Quantisation
Dirac Field
Fully quantized
Ψ ∼ χ + a(q) + χ − b† (q)
Equation of motion
∂t2 + m2 + (q3 − eA(t))2 + ieE(t) χ ± = 0
Creation/Annihilation Operators
Operators a(q), b† (q) hold information about particle
statistics
Fermions → anti-commutation relations
(7)
(8)
Motivation
Theoretical Method
Calculations
Summary
Outlook
Derivation
Operator Transformation
Hamiltonian
Non-vanishing off-diagonal elements
Diagonalization by Bogoliubov transformation
Switching to quasi-particle picture
A (q, t) = α (q, t) a (q) − β ∗ (q, t) b† (−q)
†
∗
†
B (−q, t) = β (q, t) a (q) + α (q, t) b (−q)
(9a)
(9b)
Bogoliubov coefficients have to fulfill |α (q, t)|2 + |β (q, t)|2 = 1
Motivation
Theoretical Method
Calculations
Summary
Outlook
Derivation
Particle Distribution
One-particle distribution function
F (q, t) = hA† (q, t) A (q, t)i
(10)
Fulfills equation of motion
∂t F (q, t) = S (q, t)
(11)
Gives distribution in momentum space
Time-dependent quantity
Interpretation as electron/positron distribution for t → ±∞
only
Motivation
Theoretical Method
Calculations
Summary
Outlook
Derivation
Quantum Vlasov Equation
∂t F (q, t) = W (q, t)
Z t
dt 0 W q, t 0
1 − F q, t 0 cos 2θ q, t, t 0
tVac
(12)
W (q, t) =
eE (t) ε⊥ (q, t)
,
ω 2 (q, t)
Zt
ω q, t 00 dt 00 ,
θ q, t, t 0 =
t0
2
ω 2 (q, t) = ε⊥
(q, t) + (q3 − eA (t))2
Non-Markovian integral equation
Fermions and Pauli statistics
Rapidly oscillating term
2
ε⊥
(q, t) = m2 + q⊥2 ,
Motivation
Theoretical Method
Calculations
Summary
Outlook
Derivation
Differential Equation
Auxiliary functions
G=
H=
Z t
tVac
Z t
dt 0 W q, t 0
dt 0 W q, t 0
1 − F q, t 0
cos 2θ q, t, t 0
(13a)
sin 2θ q, t, t 0
(13b)
   
W
0
F
0
0 −2ω  G + W 
2ω
0
H
0
(14)
1 − F q, t 0
tVac
Coupled differential equation
  
Ḟ
0
  
−W
=
Ġ
0
Ḣ
J. C. R. Bloch et al.: Phys. Rev. D 60(116011), 1999
Motivation
Theoretical Method
Calculations
Summary
Derivation
Recapitulation of Quantum Kinetic
Positive Aspects
Works for arbitrary time-dependent fields
Insight into time evolution of system
Gives momentum space distribution of particles
Particle density easily calculable
Negative Aspects
Collisions between particles neglected
Quantum nature of electric field omitted
No spatial inhomogenity
No magnetic field
Outlook
Motivation
Theoretical Method
Calculations
Summary
Derivation
Magnetic Fields
Pure Magnetic Fields
Particle creation not possible
Collinear EM-Fields
Space-dependent vector potential Aµ (x, t) = (0, 0, xB, A(t))
Additional constraints compared to pure electric case
Quantised particle distribution
ε⊥2 → m2 + eB (2n + 1 + (−1)s )
N. Tanji: Ann. Phys. 8(324), 2009
Outlook
Motivation
Theoretical Method
Calculations
Outline
1
Motivation
Phenomenology
Quantum Electrodynamics
Concepts
2
Theoretical Method
Background Information
Derivation
3
Calculations
Aspects of Pair Production
Optimal Control Theory
4
Summary
5
Outlook
Summary
Outlook
Motivation
Theoretical Method
Calculations
Summary
Aspects of Pair Production
Single Pulse
0.10
0.08
EH t L
0.06
0.04
0.02
0.00
- 40
- 20
0
t @1 mD
20
40
Electric field: E (t) = εEcr sech2 ((t − t0 ) /τ) × cos (ωt + φ )
Outlook
Motivation
Theoretical Method
Calculations
Summary
Aspects of Pair Production
Single Pulse
0.10
0.08
EH t L
0.06
0.04
0.02
0.00
- 40
- 20
0
t @1 mD
20
40
Electric field: E (t) = εEcr sech2 ((t − t0 ) /τ)
Three parameters: ε, τ, t0
Outlook
Motivation
Theoretical Method
Calculations
Summary
Aspects of Pair Production
Single Pulse
1. ´ 10 - 11
FH q ,t®¥L
8. ´ 10 - 12
6. ´ 10 - 12
4. ´ 10 - 12
2. ´ 10 - 12
0
-2
-1
0
1
q@ mD
Electric field: E (t) = εEcr sech2 ((t − t0 ) /τ)
Three parameters: ε, τ, t0
Particle momentum p = (q − eA)
2
Outlook
Motivation
Theoretical Method
Calculations
Summary
Aspects of Pair Production
Single Pulse
Particle Number
0.001
10 - 5
10 - 7
10 - 9
10 -11
10 -13
0.001
0.01
0.1
1
10
100
1000
Pulse Length Τ@1 mD
Electric field: E (t) = εEcr sech2 ((t − t0 ) /τ)
Three parameters: ε, τ, t0
Particle momentum p = (q − eA)
R
Particle number N ∼ [dq]F (q)
Outlook
Motivation
Theoretical Method
Calculations
Summary
Aspects of Pair Production
Enhancement of Number Density
Dynamically Assisted Schwinger Effect
100
70
50
æ
30
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15
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0.5
Τ1= 50@1 mD
ò
Τ1=100@1 mD
à
Τ1=150@1 mD
æ
Τ1= 250@1 mD
à
æ
à
æ
ò
à
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æ
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1.0
1.5
2.0
Combined Keldysh Parameter
2.5
Combination of long&strong pulse (ε1 = 0.1, τ1 ) with
short&weak pulse (ε2 = 0.01, τ2 )
Dynamical Assistance observable at γ = (mε1 τ2 )−1
R. Schützhold et al.: Phys. Rev. Lett. 101(130404), 2008
Outlook
Motivation
Theoretical Method
Calculations
Summary
Outlook
Aspects of Pair Production
Interferences in Multiphoton Regime
Dt=21.79@1mD
Particle Distribution
Particle Distribution
Dt=21.79@1mD
-2
-1
0
1
Parallel Momentum@mD
2
-2
-1
0
1
Parallel Momentum@mD
10 × ε = 0.02, τ = 3[1/m]
10 × ε = ±0.02, τ = 3[1/m]
Blue curve: Combination of short pulses
Red curve: 100 × particle distribution rate of single pulse
Equally signed fields
Alternatingly signed fields
Interference → width
Interference → height
E. Akkerman et al.: Phys. Rev. Lett. 108(030401), 2012
2
Motivation
Theoretical Method
Calculations
Summary
Outlook
Aspects of Pair Production
Interferences in Multiphoton Regime
Dt=22.66@1mD
Particle Distribution
Particle Distribution
Dt=22.66@1mD
-2
-1
0
1
Parallel Momentum@mD
2
-2
-1
0
1
Parallel Momentum@mD
10 × ε = 0.02, τ = 3[1/m]
10 × ε = ±0.02, τ = 3[1/m]
Blue curve: Combination of short pulses
Red curve: 100 × particle distribution rate of single pulse
Equally signed fields
Alternatingly signed fields
Interference → width
Interference → height
E. Akkerman et al.: Phys. Rev. Lett. 108(030401), 2012
2
Motivation
Theoretical Method
Calculations
Summary
Outlook
Aspects of Pair Production
Interferences in Multiphoton Regime
Dt=23.53@1mD
Particle Distribution
Particle Distribution
Dt=23.53@1mD
-2
-1
0
1
Parallel Momentum@mD
2
-2
-1
0
1
Parallel Momentum@mD
10 × ε = 0.02, τ = 3[1/m]
10 × ε = ±0.02, τ = 3[1/m]
Blue curve: Combination of short pulses
Red curve: 100 × particle distribution rate of single pulse
Equally signed fields
Alternatingly signed fields
Interference → width
Interference → height
E. Akkerman et al.: Phys. Rev. Lett. 108(030401), 2012
2
Motivation
Theoretical Method
Calculations
Summary
Aspects of Pair Production
Combination of Effects
Particle Number
æ
æ
1 ´ 10 - 7
5 ´ 10 - 8
¶2=+ 0.005
Τ2= 3@1 mD
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5 ´ 10 - 9
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1 ´ 10 - 9
5 ´ 10 -10
÷÷÷
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0
2
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6
8
10
Time Interval@1 mD
Red curve: Just short pulses
Blue curve: Short pulses with additional long pulse (εmax = 0.1, τ1 ≈ 100[1/m])
Black lines: 1, 10 and 100 × single pulse result, asymptotic blue curve
Interferences observable
12
÷
÷
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14
Outlook
Motivation
Theoretical Method
Calculations
Summary
Optimal Control Theory
Optimal Control Theory
Description
Form of constrained variational calculus
Maximization of particle number by optimization of pulse
shapes
Technicalities
Cost functional holds as basis for calculation
Initial field configuration as input
Two different ways of formulation
Outlook
Motivation
Theoretical Method
Calculations
Summary
Optimal Control Theory
Optimization Process
EH t L
-4
-2
2
4
t @1 mD
Single electric field: E (t) = εEcr sech2 ((t − t0 ) /τ)
Optimization parameters ε, τ, t0
Model full configuration by sum of single fields
Outlook
Motivation
Theoretical Method
Calculations
Summary
Optimal Control Theory
Optimization Process
EH t L
-4
-2
2
4
t @1 mD
Single electric field: E (t) = εEcr sech2 ((t − t0 ) /τ)
Optimization parameters ε, τ, t0
Model full configuration by sum of single fields
Outlook
Motivation
Theoretical Method
Calculations
Summary
Optimal Control Theory
Optimization Process
EH t L
-4
-2
2
4
t @1 mD
Single electric field: E (t) = εEcr sech2 ((t − t0 ) /τ)
Optimization parameters ε, τ, t0
Model full configuration by sum of single fields
Outlook
Motivation
Theoretical Method
Calculations
Summary
Optimal Control Theory
Optimization Process
EH t L
-4
-2
2
4
t @1 mD
Single electric field: E (t) = εEcr sech2 ((t − t0 ) /τ)
Optimization parameters ε, τ, t0
Model full configuration by sum of single fields
Outlook
Motivation
Theoretical Method
Calculations
Summary
Optimal Control Theory
Enhancement in Particle Number
particle number
ε2
τ2 [1/m]
0.0001
0.0001
0.005
0.02
0.1
2
2
4
2.93e-10
2.98e-11
7.46e-08
5.42e-11
0.0205
0.546
1.18e-04
Optimization with different initial conditions
Procedure finds optimal pulse shape
Huge gain in particle number
Outlook
Motivation
Theoretical Method
Calculations
Summary
Summary
Particle pair production is connected to various fields of
research
Schwinger effect → exponentially suppressed
e− e+ pair production is highly dynamical process
Pulse shaping by optimal control theory is possible
Outlook
Motivation
Theoretical Method
Calculations
Outlook
Improve in optimization
Perform calculations with realistic setups
Find formalism to include magnetic fields
Summary
Outlook
Motivation
Theoretical Method
Calculations
Summary
Outlook
Thank you!
supported by FWF Doctoral Program on Hadrons in Vacuum, Nuclei and Stars (FWF
DK W1203-N16)
Appendix
Optimal Control Theory
Cost functional
J (F (q, t) , G (q, t) , H (q, t) , A) = −γ
Z
F (q, T )dq + p[A]
(15)
Appendix
Optimal Control Theory
Cost functional
J (F (q, t) , G (q, t) , H (q, t) , A) = −γ
Z
F (q, T )dq + p[A]
(15)
Constraints
λF (q, t) = Ḟ (q, t) − W (q, t) G (q, t) = 0
(16)
λG (q, t) = Ġ (q, t) + W (q, t) F (q, t) + 2ω (q, t) H (q, t) − W (q, t) = 0
(17)
λH (q, t) = Ḣ (q, t) − 2ω (q, t) G (q, t) = 0
(18)
Appendix
Optimal Control Theory
Lagrange function
L = J (F , G, H, A) + hλF , µF i + hλG , µG i + hλH , µH i
(19)
Appendix
Optimal Control Theory
Lagrange function
L = J (F , G, H, A) + hλF , µF i + hλG , µG i + hλH , µH i
(19)
Adjoint differential equation
µ̇F (q, t) = W (q, t) µG (q, t)
(20)
µ̇G (q, t) = −W (q, t) µF (q, t) − 2ω (q, t) µH (q, t)
(21)
µ̇H (q, t) = 2ω (q, t) µG (q, t)
(22)
Appendix
Optimal Control Theory
Gradient
∇J̃ =
δL
δp
=
−2
δA δA Z
+
Z
dq (−µH G + µG H)
dq
q −A
ω
ε⊥
∂t (µG F − µF G − µG )
ω2
(23)
(24)
Appendix
Optimal Control Theory
Gradient
∇J̃ =
δL
δp
=
−2
δA δA Z
+
Z
dq (−µH G + µG H)
dq
q −A
ω
ε⊥
∂t (µG F − µF G − µG )
ω2
Wolfe conditions
J Ak (t) + αk ∇J̃ ≤ J (Ak (t)) + c1 αk h∇J̃ (A) , ∇J̃ (A)i
h∇J̃ Ak (t) + αk ∇J̃ , ∇J̃ (Ak )i ≤ c2 h∇J̃ (Ak ) , ∇J̃ (Ak )i
(23)
(24)
(25)
(26)
Appendix
Internal Electric Field
Internal electric field Eint (t) due to electron-positron pairs:
E (t) = Eext (t) + Eint (t)
→
Ė (t) = −jext (t) − jint (t)
Appendix
Internal Electric Field
Internal electric field Eint (t) due to electron-positron pairs:
E (t) = Eext (t) + Eint (t)
→
Ė (t) = −jext (t) − jint (t)
Internal electromagnetic current jint (t) in the e3 direction:
jint (t) = 4e
Z
d 3k
p3 (t)
4
F (q, t) +
E (t)
(2π) ω (q, t)
3
Z
d 3k
(2π)3
ω (q, t) Ḟ (q, t)
Appendix
Internal Electric Field
Internal electric field Eint (t) due to electron-positron pairs:
E (t) = Eext (t) + Eint (t)
→
Ė (t) = −jext (t) − jint (t)
Internal electromagnetic current jint (t) in the e3 direction:
jint (t) = 4e
Z
d 3k
p3 (t)
4
F (q, t) +
E (t)
(2π) ω (q, t)
3
Z
d 3k
(2π)3
ω (q, t) Ḟ (q, t)
Conduction current stays regular for all momenta!
Appendix
Internal Electric Field
Internal electric field Eint (t) due to electron-positron pairs:
E (t) = Eext (t) + Eint (t)
→
Ė (t) = −jext (t) − jint (t)
Internal electromagnetic current jint (t) in the e3 direction:
jint (t) = 4e
Z
d 3k
p3 (t)
4
F (q, t) +
E (t)
(2π) ω (q, t)
3
Z
d 3k
(2π)3
ω (q, t) Ḟ (q, t)
Conduction current stays regular for all momenta!
Polarization current exhibits a logarithmic UV-divergence
Appendix
Internal Electric Field
Internal electric field Eint (t) due to electron-positron pairs:
E (t) = Eext (t) + Eint (t)
→
Ė (t) = −jext (t) − jint (t)
Internal electromagnetic current jint (t) in the e3 direction:
jint (t) = 4e
Z
d 3k
p3 (t)
4
F (q, t) +
E (t)
(2π) ω (q, t)
3
Z
d 3k
(2π)3
ω (q, t) Ḟ (q, t)
Conduction current stays regular for all momenta!
Polarization current exhibits a logarithmic UV-divergence
Charge renormalization
Appendix
Internal Electric Field
Internal electric field Eint (t) due to electron-positron pairs:
E (t) = Eext (t) + Eint (t)
→
Ė (t) = −jext (t) − jint (t)
Internal electromagnetic current jint (t) in the e3 direction:
jint (t) = 4e
Z
d 3k
p3 (t)
4
F (q, t) +
E (t)
(2π) ω (q, t)
3
Z
d 3k
(2π)3
ω (q, t) Ḟ (q, t)
Conduction current stays regular for all momenta!
Polarization current exhibits a logarithmic UV-divergence
Charge renormalization
Properly renormalized internal electromagnetic current:
4e
Z
"
#
2
eĖ (t) ε⊥
p3 (t)
ω 2 (q, t)
F (q, t) +
Ḟ (q, t) −
eE (t) p3 (t)
8ω 4 (q, t) p3 (t)
(2π)3 ω (q, t)
d 3k
Appendix
Scattering picture
[∂t2 + ω 2 (q, t)]g (q, t) = 0
1-dimensional scattering problem
"
#
h̄2 2
H ψ(x) = −
∂ + V (x) ψ(x) = Eψ(x)
2m x
Appendix
Scattering picture
[∂t2 + ω 2 (q, t)]g (q, t) = 0
1-dimensional scattering problem
"
#
h̄2 2
H ψ(x) = −
∂ + V (x) ψ(x) = Eψ(x)
2m x
Formal similarity → Scattering potential: V (t) ∼ −ω 2 (q, t)
Reflection coefficient ↔ Produced pairs
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