FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Simulating a complete experiment of pulse
compression mediated by �lamentation
Luc BergéCEA-DIF - Bruyères-le-Châtel - 91297 Arpajon cedex - France
Stefan Skupin, Günter Steinmeyer
5th Conference on Solitons, Collapses and TurbulenceAugust 2-7, 2009
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
FilamentationMathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Self-compression of Femtosecond PulsesSetup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Conclusion
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
FilamentationMathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Self-compression of Femtosecond PulsesSetup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Conclusion
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Self-guided laser pulse propagating in air
S. Niedermeier, H. Wille, M. Rodriguez, J. Kasparian und R. SauerbreyFriedrich-Schiller-Universität Jena
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Self-guided laser pulse propagating in air
peak power: 380 GW peak power: 2300 GW
G. Méjean, J. Yu, J. Kasparian, E. Salmon und J. P.WolfUniversité Cl. Bernard Lyon, LASIM
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Simple propagation equations
∂
∂zU =
i
2k0∇2⊥U − i
k ′′
2
∂2
∂t2U + i
ω0cn2|U|2U
− i k02n2
0ρcρU − β
(K)
2|U|2(K−1)U
∂
∂tρ =
β(K)
K~ω0|U|2K
I slowly-varying envelope of the optical �eld U in scalarapproximation (SVEA)
I propagation in z-direction
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Simple propagation equations
∂
∂zU =
i
2k0∇2⊥U − i
k ′′
2
∂2
∂t2U + i
ω0cn2|U|2U
− i k02n2
0ρcρU − β
(K)
2|U|2(K−1)U
∂
∂tρ =
β(K)
K~ω0|U|2K
I di�raction
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Simple propagation equations
∂
∂zU =
i
2k0∇2⊥U − i
k ′′
2
∂2
∂t2U + i
ω0cn2|U|2U
− i k02n2
0ρcρU − β
(K)
2|U|2(K−1)U
∂
∂tρ =
β(K)
K~ω0|U|2K
I optical Kerr-e�ect → self-focusing by nonlinear inducedrefractive index change
I two-dimensional Nonlinear Schrödinger Equation
I Pin > Pcr 'λ20
2πn0n2→ collapse for Gaussian input beam
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Simple propagation equations
∂
∂zU =
i
2k0∇2⊥U − i
k ′′
2
∂2
∂t2U + i
ω0cn2|U|2U
− i k02n2
0ρcρU − β
(K)
2|U|2(K−1)U
∂
∂tρ =
β(K)
K~ω0|U|2K
I group-velocity dispersion (GVD):k(ω0 + ω̄) = k0 + k
′ω̄ + k′′
2ω̄2 + . . .
I reference frame traveling with group-velocity
I sign of k ′′ in�uences collapse dynamics
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Simple propagation equations
∂
∂zU =
i
2k0∇2⊥U − i
k ′′
2
∂2
∂t2U + i
ω0cn2|U|2U
− i k02n2
0ρcρU − β
(K)
2|U|2(K−1)U
∂
∂tρ =
β(K)
K~ω0|U|2K
I increasing intensity leads to ionization of the medium→ free electron density ρ
I multi-photon ionization (MPI) involvingK = mod(Ui/~ω0) + 1 photons
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Simple propagation equations
∂
∂zU =
i
2k0∇2⊥U − i
k ′′
2
∂2
∂t2U + i
ω0cn2|U|2U
− i k02n2
0ρcρU − β
(K)
2|U|2(K−1)U
∂
∂tρ =
β(K)
K~ω0|U|2K
I interaction of the optical �eld with the generated plasma
I nonlinear induced refractive index ∆nnl = n2|U|2 − 12n0ρc ρ→ plasma balances Kerr self-focusing by defocusing
I critical plasma density ρc =ω20me�0
q2e
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Simple propagation equations
∂
∂zU =
i
2k0∇2⊥U − i
k ′′
2
∂2
∂t2U + i
ω0cn2|U|2U
− i k02n2
0ρcρU − β
(K)
2|U|2(K−1)U
∂
∂tρ =
β(K)
K~ω0|U|2K
I nonlinear losses induced bymulti-photon-absorption (MPA)
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Atmospheric propagation: single �lament 30 GW, 0.5 mm, 100 fs
I plasma-generation over ∼ 1 mI diameter of �lament ∼ 150 µmI robust against azimuthal perturbation (here 1% noise)
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Atmospheric propagation: single �lament 30 GW, 0.5 mm, 100 fs
I focused time slices generate plasma channel
I �Dynamic spatial replenishment model�(Mlejnek, Wright, and Moloney - 1998)
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Extended propagation equations
∂
∂zU =
i
2k0∇2⊥U
T−1
+ ik ′′
2
∂2
∂t2U
∑n≥2
k(n)
n!
(i∂
∂t
)n
+ iω0cn2 |U|2 U
∫
− i k02n2
0ρcρU
T−1
− β(K)
2|U|2(K−1)U
∂
∂tρ =
β(K)
K~ω0|U|2K
+σ
Uiρ|U|2 − f (ρ)
β(K)
K~ω0
I the simple propagation model can be re�ned→ quantitative comparison with experiments
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Extended propagation equations
∂
∂zU =
i
2k0∇2⊥U
T−1
+ i∑n≥2
k(n)
n!
(i∂
∂t
)nU
+ iω0cn2 |U|2 U
∫
− i k02n2
0ρcρU
T−1
− β(K)
2|U|2(K−1)U
∂
∂tρ =
β(K)
K~ω0|U|2K
+σ
Uiρ|U|2 − f (ρ)
β(K)
K~ω0
I higher-order linear dispersion: Important in solids and liquids
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Extended propagation equations
∂
∂zU =
i
2k0∇2⊥U
T−1
+ i∑n≥2
k(n)
n!
(i∂
∂t
)nU
+ iω0cn2
∫h(t − t ′)
∣∣U(t ′)∣∣2 dt ′U
T − i ω0cn4|U|4UT
− i k02n2
0ρcρU
T−1
− β(K)
2|U|2(K−1)U
∂
∂tρ =
β(K)
K~ω0|U|2K
+σ
Uiρ|U|2 − f (ρ)
β(K)
K~ω0
I Raman delayed part of the Kerr response:
h(t) = (1− xR)δ(t) + xRΘ(t)τ21+τ
22
τ1τ22e−t/τ2 sin(t/τ1)
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Extended propagation equations
∂
∂zU =
i
2k0∇2⊥U
T−1
+ i∑n≥2
k(n)
n!
(i∂
∂t
)nU
+ iω0cn2
∫h(t − t ′)
∣∣U(t ′)∣∣2 dt ′U
T
− i ω0cn4|U|4U
T
− i k02n2
0ρcρU
T−1
− β(K)
2|U|2(K−1)U
∂
∂tρ =
β(K)
K~ω0|U|2K
+σ
Uiρ|U|2 − f (ρ)
β(K)
K~ω0
I χ(5) nonlinearity
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Extended propagation equations
∂
∂zU =
i
2k0∇2⊥U
T−1
+ i∑n≥2
k(n)
n!
(i∂
∂t
)nU
+ iω0cn2
∫h(t − t ′)
∣∣U(t ′)∣∣2 dt ′U
T
− i ω0cn4|U|4U
T
− i k02n2
0ρcρU
T−1
− UiW (|U|2)(ρnt − ρ)
2|U|2U
− σ2ρU
β(K)
2
∂
∂tρ = W (|U|2)(ρnt − ρ)
+σ
Uiρ|U|2 − f (ρ)
β(K)
K~ω0
I improved modeling of ionization rate W : Keldysh (crystals);Perelomov, Popov and Terent'ev (atoms); Ammosov, Deloneand Krainov (tunnel regime)
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Extended propagation equations
∂
∂zU =
i
2k0∇2⊥U
T−1
+ i∑n≥2
k(n)
n!
(i∂
∂t
)nU
+ iω0cn2
∫h(t − t ′)
∣∣U(t ′)∣∣2 dt ′U
T
− i ω0cn4|U|4U
T
− i k02n2
0ρcρU
T−1
− UiW (|U|2)(ρnt − ρ)
2|U|2U − σ
2ρU
β(K)
2
∂
∂tρ = W (|U|2)(ρnt − ρ) +
σ
Uiρ|U|2
− f (ρ)
β(K)
K~ω0
I avalanche ionization and related nonlinear losses
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Extended propagation equations
∂
∂zU =
i
2k0∇2⊥U
T−1
+ i∑n≥2
k(n)
n!
(i∂
∂t
)nU
+ iω0cn2
∫h(t − t ′)
∣∣U(t ′)∣∣2 dt ′U
T
− i ω0cn4|U|4U
T
− i k02n2
0ρcρU
T−1
− UiW (|U|2)(ρnt − ρ)
2|U|2U − σ
2ρU
β(K)
2
∂
∂tρ = W (|U|2)(ρnt − ρ) +
σ
Uiρ|U|2 − f (ρ)
β(K)
K~ω0
I electron-ion recombination:f (ρ) ∼ ρ2 for gases; f (ρ) ∼ ρ for dielectrics
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Mathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Extended propagation equations
∂
∂zU =
i
2k0T−1∇2⊥U + i
∑n≥2
k(n)
n!
(i∂
∂t
)nU
+ iω0cn2T
∫h(t − t ′)
∣∣U(t ′)∣∣2 dt ′U − i ω0cn4T |U|4U
− i k02n2
0ρc
T−1ρU − UiW (|U|2)(ρnt − ρ)
2|U|2U − σ
2ρU
β(K)
2
∂
∂tρ = W (|U|2)(ρnt − ρ) +
σ
Uiρ|U|2 − f (ρ)
β(K)
K~ω0
I higher-order terms correction SVEA (Brabec and Krausz):Self-steepening and space-time focusing operatorT = (1 + iω0∂t)
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
FilamentationMathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Self-compression of Femtosecond PulsesSetup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Conclusion
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
General considerations
I we want a single short pulse !
I no muliple �lamentation→ few critical powers only
I no post-compression
I no pulse trains→ only one peak should survive
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
General considerations
I we want a single short pulse !
I no muliple �lamentation→ few critical powers only
I no post-compression
I no pulse trains→ only one peak should survive
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
General considerations
I we want a single short pulse !
I no muliple �lamentation→ few critical powers only
I no post-compression
I no pulse trains→ only one peak should survive
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
General considerations
I we want a single short pulse !
I no muliple �lamentation→ few critical powers only
I no post-compression
I no pulse trains→ only one peak should survive
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Self-compression of femtosecond pulses inside laser �laments
G. Stibenz and G. SteinmeyerMax-Born-Institut Berlin
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Self-compression of femtosecond pulses inside laser �laments
experiments
simulations
G. Stibenz and G. SteinmeyerMax-Born-Institut Berlin
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Self-compression of femtosecond pulses inside laser �laments
experiments simulations
G. Stibenz and G. SteinmeyerMax-Born-Institut Berlin
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Light bullet � simulation 800 nm, 1Pcr, 25 fs, 150 µm
I input intensity close to saturation→ slow di�raction
I temporal extent reduces to �stable�6-8 fs (λ0
c= 2.7 fs)
I characteristic spatio-temporalpro�le (time dependent radius)
I temporal asymmetry due toself-steepening
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Light bullet � simulation 800 nm, 1Pcr, 25 fs, 150 µm
I input intensity close to saturation→ slow di�raction
I temporal extent reduces to �stable�6-8 fs (λ0
c= 2.7 fs)
I characteristic spatio-temporalpro�le (time dependent radius)
I temporal asymmetry due toself-steepening
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Light bullet � gas-glass-gas interface
experimental setup for pulse compression
I step I: Filamentation in argon
I step II: The pulse goes across a mm-thick silica window
I step III: Diagnostics are positioned at ∼ 1 m from the cell
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Step I: Self-compression in Ar 800 nm, Pin = 1Pcr
I light bullet formation in Ar → 6-8 fs pulse duration
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Step I: Self-compression in Ar 800 nm, Pin = 1Pcr
(loading movie)
Luc Bergé Femtosecond Filaments
selfcompression_fast_cinepak.aviMedia File (video/avi)
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Step II: Pulse broadening in silica Pmax > 1000Pcr in glass
I GVD + Kerr → durations up to ≥ 30 fs in the window
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Step II: Pulse broadening in silica Pmax > 1000Pcr in glass
I pulse duration exceeds
τlin(z) ' τ0√1 + 16(ln 2)2(k(2)∆z/τ2
0)2
I 8 fs Gaussian pulse broadens to ∼ 10 fs only over 0.5 mm
I two-scaled variational approach for beam radius R and pulseduration T :1
4R3Rzz = 1− p2T ;
1
4T 3Tzz = δ(δ +
Tp2R2
)
I p = Pin/Pcr and δ ≡ 2πn0R2ink(2)/λ0T 2in are largeI 8 fs Gaussian pulse (15 TW/cm2, 240 µm) broadens to∼ 25 fs over 0.5 mm
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Step II: Pulse broadening in silica Pmax > 1000Pcr in glass
I pulse duration exceeds
τlin(z) ' τ0√1 + 16(ln 2)2(k(2)∆z/τ2
0)2
I 8 fs Gaussian pulse broadens to ∼ 10 fs only over 0.5 mm
I two-scaled variational approach for beam radius R and pulseduration T :1
4R3Rzz = 1− p2T ;
1
4T 3Tzz = δ(δ +
Tp2R2
)
I p = Pin/Pcr and δ ≡ 2πn0R2ink(2)/λ0T 2in are largeI 8 fs Gaussian pulse (15 TW/cm2, 240 µm) broadens to∼ 25 fs over 0.5 mm
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Step II: Pulse broadening in silica Pmax > 1000Pcr in glass
I At larger distances we do see collapse in the glass window
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Step II: Pulse broadening in silica Pmax > 1000Pcr in glass
I What about spatial modulational instability (in 3D) ?
I MI is e�ciently suppressed by GVD!
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Step III: Recompression in air Pmax ∼ 3.5Pcr in air
(II) (III)
I pulse compression is �self-restored� in air ∼ 10 fs durations.
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Recompression works in vacuum as well
air (solid line, left �gure), vacuum (dashed line, right �gure)
I refocusing in second gas is not due to nonlinear self-focusing
I recompression di�erent from self-compression
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Accumulated phase is important
phase after crossing the window (for 1 m argon)
I nonlinear phase curvature accumulated in glass acts like a lens
I each time slice has di�erent focal length→ new phase: eiRz r2/4R ∼ e−iω0r2w20 /2cf∗→ on-axis recompression
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Setup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
In�uence of glass window on far-�eld
after window, after window without phase, before window
I phase is crucial for recompression
I glass window has limited in�uence on far-�eld
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
Conclusion
I �Light bullets�: speci�c compression regime for reachingrobust, singly-peaked pulses with few-cycle durations
I Role of the exit glass window in a gas cell ? Important !
I New process: self-restoration of compressed light pulses
I S. Skupin et al., PRE 74, 056604 (2006)
LB et al., PRL 100, 113902 (2008); PRL 101, 213901 (2008); PRA 79, 033838 (2009)
Luc Bergé Femtosecond Filaments
FilamentationSelf-compression of Femtosecond Pulses
Conclusion
NEW MEETING : W.L.M.I.
2nd International Workshop on Laser-Matter Interaction
I Porquerolles Island - France
I 13-17 September 2010 - Sponsors: CEA
Luc Bergé Femtosecond Filaments
FilamentationMathematical modeling: Basic ingredientsDynamic spatial replenishmentModeling revisited: Towards quantitative comparison
Self-compression of Femtosecond PulsesSetup and compression mechanismSimulating the whole experimentTemporal self-healing mechanism
Conclusion