1. Introduction
Self-similarity is a fundamental physical property that has been studied in many areas of physics and, in particular, in optics [
1C. R. Menyuk, D. Levi, and P. Winternitz, “Self-similarity in transient stimulated Raman scattering,” Phys. Rev. Lett. 69, 3048–3051 (1992). [CrossRef] [PubMed]
–
5S. Sears, M. Soljacic, M. Segev, D. Krylov, and K. Bergman, “Cantor set fractals from solitons,” Phys. Rev. Lett. 84, 1902–1905 (2000). [CrossRef] [PubMed]
]. In addition, recent studies in nonlinear optics have revealed an important type of optical pulses (similaritons) with a parabolic profile in both the time and frequency domains, and having a linear chirp. These pulses propagate in nonlinear optical fibers with normal second-order group-velocity dispersion [
6D. Anderson, M. Desaix, M. Karlsson, M. Lisak, and M. L. Quiroga-Teixeiro, “Wave-breaking-free pulses in nonlinear-optical fibers,” J. Opt. Soc. Am. B 10, 1185–1190 (1993). [CrossRef]
] and in optical fiber amplifiers with constant and distributed gain functions [
7M. E. Fermann, V. I. Kruglov, B. C. Thomson, J. M. Dudley, and J. D. Harvey, “Self-similar propagation and amplification of parabolic pulses in optical fibers,” Phys. Rev. Lett. 84, 6010–6013 (2000). [CrossRef] [PubMed]
–
9V. I. Kruglov, A. C. Peacock, J. D. Harvey, and J. M. Dudley, “Self-similar propagation of parabolic pulses in normal-dispersion fiber amplifiers,” J. Opt. Soc. Am. B 19, 461–469 (2002). [CrossRef]
]. The propagating pulses in optical fiber amplifiers with normal dispersion are asymptotically self-similar and their asymptotic behavior depends only on the input energy. This remarkable property is connected with a global attractor [
10V. I. Kruglov and J. D. Harvey, “Asymptotically exact parabolic solutions of the generalized nonlinear Schrodinger equation with varying parameters,” J. Opt. Soc. Am. B 23, 2541–2550 (2006). [CrossRef]
] which directs the pulses with different initial conditions to the same self-similar structurally stable asymptotic form [
10V. I. Kruglov and J. D. Harvey, “Asymptotically exact parabolic solutions of the generalized nonlinear Schrodinger equation with varying parameters,” J. Opt. Soc. Am. B 23, 2541–2550 (2006). [CrossRef]
,
11J. M. Dudley, C. Finot, G. Millot, and D. J. Richardson, “Self-similarity in ultrafast nonlinear optics,” Nat. Phys. 3, 597–603 (2007). [CrossRef]
].
Self-similar parabolic pulses are of fundamental interest because they represent a new class of solution to the nonlinear Schrdinger equation (NLSE) with gain, and have wide-ranging practical significance since their linear chirp leads to highly efficient pulse compression to the sub-100-fs domain [
12A. Ruehl, A. Marcinkevicius, M. E. Fermann, and I. Hartl, “80 W, 120 fs Yb-fiber frequency comb,” Opt. Lett. 35, 3015–3017 (2010). [CrossRef] [PubMed]
]. Moreover, fiber amplifiers and lasers which use self-similar propagating pulses in the normal dispersion regime have been demonstrated experimentally to achieve high-energy pulses [
7M. E. Fermann, V. I. Kruglov, B. C. Thomson, J. M. Dudley, and J. D. Harvey, “Self-similar propagation and amplification of parabolic pulses in optical fibers,” Phys. Rev. Lett. 84, 6010–6013 (2000). [CrossRef] [PubMed]
,
13F. O. Ilday, J. R. Buckley, H. Lim, F. W. Wise, and W. G. Clark, “Generation of 50-fs, 5-nj pulses at 1.03 μm from a wave-breaking-free fiber laser,” Opt. Lett. 28, 1365–1367 (2003). [CrossRef] [PubMed]
,
14F. O. Ilday, J. R. Buckley, W. G. Clark, and F. W. Wise, “Self-similar evolution of parabolic pulses in a laser,” Phys. Rev. Lett. 92, 213902 (2004). [CrossRef] [PubMed]
].
We present in this paper a new analytical solution of NLSE describing the propagation of the parabolic similaritons in fiber amplifiers including the influence of saturated gain. This exact asymptotical solution is found by solving the second order differential equation which has been derived previously [
8V. I. Kruglov, A. C. Peacock, J. M. Dudley, and J. D. Harvey, “Self-similar propagation of high-power parabolic pulses in fiber amplifiers,” Opt. Lett. 25, 1753–1755 (2000). [CrossRef]
] for the propagating pulses in optical amplifiers with an arbitrary gain function. We use here the standard model equation for the saturation effect which follows from averaging the gain dynamics in the presence of the pulse train [
15G. P. Agrawal, Applications of Nonlinear Fiber Optics (Academic Press, 2001).
]. As an example, such a saturation effect is important for the pulse evolution in normal fiber ring lasers [
16W. H. Renninger, A. Chong, and F. W. Wise, “Self-similar pulse evolution in an all-normal-dispersion laser,” Phys. Rev. A. 82, 021805 (2010). [CrossRef]
].
We note that an approximate solution of the NLSE with the same model equation for the saturation effect has been proposed [
17B. G. Bale and S. Wabnitz, “Strong spectral filtering for a mode-locked similariton fiber laser,” Opt. Lett. 35, 2466–2468 (2010). [CrossRef] [PubMed]
]. In this parabolic solution, depending on three indeterminate parameters, the peak power is a constant asymptotically and the pulse duration increases linearly with distance in the saturation regime. In contrast to this solution, the peak power of the parabolic similaritons in our asymptotically exact solution is a decreasing function of the propagating distance and the pulse duration is not a linear function of the distance. Furthermore, there are no indeterminate parameters in the new solution presented in this paper. We have confirmed numerically that our analytical solution leads to an accurate description of parabolic pulses for long propagating distances when the dimensionless saturation energy
ηs is greater than some critical parameter
ηc ≃ 0.3 (see Section 5). In the cases when the condition
ηs >
ηc is not satisfied the parabolic similariton regimes do not exist.
We have also observed that fiber amplifiers support a new type of self-similar linearly chirped pulses when the condition ηs < ηc is satisfied. The shape of such pulses differs significantly from the parabolic profile, but the self-similarity of the pulses has been confirmed numerically with a high accuracy. We also show with a high accuracy that the shape of these similaritons is a product of Gaussian and super-Gaussian pulses and we call such pulses Hyper-Gaussian (HG) similaritons. The theory for HG similaritons developed here is in a good agreement with numerical simulations. We anticipate that this new type of HG similaritons may find applications in chirped pulse amplification systems where gain saturation is important since their linear chirp and smooth spectral density facilitates pulse compression.
2. Parabolic similaritons in fiber amplifiers
In the presence of an arbitrary distributed gain function pulse propagation in fiber amplifiers and lasers in similariton propagation segment can be described by the generalized NLSE as
where
ψ(
z,τ) is the slowly varying pulse envelope in a comoving frame,
β2 and
γ are respectively the second-order dispersion parameter and the nonlinearity coefficient and
g(
z) is the distributed gain along the fibre. Here
is the parameter of the bandwidth-limited gain in the fiber. We also use here a standard model equation for the saturation effect [
15G. P. Agrawal, Applications of Nonlinear Fiber Optics (Academic Press, 2001).
] which follows from averaging the gain dynamics in the presence of the pulse train:
We note that this approach neglects the dependence of the gain on the frequency of the signal. It is well-known however, that the gain bandwidth of the amplifier provides a limitation to the propagation of similaritons [
16W. H. Renninger, A. Chong, and F. W. Wise, “Self-similar pulse evolution in an all-normal-dispersion laser,” Phys. Rev. A. 82, 021805 (2010). [CrossRef]
,
18V. I. Kruglov, D. Mechin, and J. D. Harvey, “All-fiber ring Raman laser generating parabolic pulses,” Phys. Rev. A. 81, 023815 (2010). [CrossRef]
]. Thus the
Eqs. (1),
(2) with
σ = 0 can be used for describing the propagation of similaritons for all distances such that the pulse spectral width is less than the gain bandwidth. This condition is satisfied for all numerical simulations presented below and this limitation is also assumed in our analytical solutions.
Using the standard definition of the real amplitude
A(
z,τ) and the phase Φ(
z,τ) of the pulses
ψ(
z,τ) =
A(
z,τ) exp(
iΦ(
z,τ)) and the ansatz:
we define a new wave function of the pulses in the form
ψ̃(
z,τ) =
B(
z,τ) exp(
iΦ(
z,τ)). The real amplitudes
A(
z,τ) and
B(
z,τ) are connected by the relation:
where
is the energy of the pulses and
E0 =
E(0) is the input energy. The above definitions allow us to transform the generalized NLSE to the NLSE without gain:
The
Eq. (5) yields the system of equations for the real amplitude
B(
z,τ) and the phase Φ(
z,τ):
We will show below that in the cases when
E(
z) → ∞ with
z → ∞ the condition Γ
B2 ≫ (
β2/2)|
Bττ/
B| is satisfied for sufficient propagation distances when
β2 > 0. Using
Eq. (4) one can also present this inequality in the form:
for asymptotical solutions of
Eqs. (6),
(7). We may neglect the last term on the right-hand side of
Eq. (7) for the asymptotical solutions when the
Eq. (8) is satisfied. Thus, using the definition
(
z,τ) =
B2(
z,τ) and
Eq. (8) we may reduce the system of
Eqs. (6),
(7) for the asymptotical solutions as
This system of equations has the parabolic solution [
7M. E. Fermann, V. I. Kruglov, B. C. Thomson, J. M. Dudley, and J. D. Harvey, “Self-similar propagation and amplification of parabolic pulses in optical fibers,” Phys. Rev. Lett. 84, 6010–6013 (2000). [CrossRef] [PubMed]
–
9V. I. Kruglov, A. C. Peacock, J. D. Harvey, and J. M. Dudley, “Self-similar propagation of parabolic pulses in normal-dispersion fiber amplifiers,” J. Opt. Soc. Am. B 19, 461–469 (2002). [CrossRef]
] which means that the function
(
z,τ) and the phase Φ(
z,τ) are quadratic functions of
τ for |
τ| <
τp(
z) and
(
z,τ) = 0 for |
τ| ≥
τp(
z). Here the function
τp(
z) is the effective width of the pulse which defines the region of
τ (|
τ| <
τp(
z)) where the function
(
z,τ) =
B2(
z,τ) is positive. Using
Eq. (4) we may present the solution of the
Eqs. (9),
(10) with varying gain function
g(
z) in the form [
8V. I. Kruglov, A. C. Peacock, J. M. Dudley, and J. D. Harvey, “Self-similar propagation of high-power parabolic pulses in fiber amplifiers,” Opt. Lett. 25, 1753–1755 (2000). [CrossRef]
]:
where
θ(
x) is the step function:
θ(
x) = 1 for
x ≥ 0 and
θ(
x) = 0 otherwise. Here the distance dependent peak power
P(
z) and the function
C(
z) are
The effective width of the pulse
τp(
z) can be found by solving the equation:
which follows from
Eqs. (9),
(10). As an example, when
g is a constant and
E(
z) =
E0egz the solution of
Eq. (14) is
We note that in the case when a global attractor exists, the asymptotical solution of
Eq. (14) (for
z → ∞) does not depend on the boundary conditions. Using the above parabolic solution we may present the condition given by
Eq. (8) for |
τ| < τp(
z) as
Integrating the left and right sides of
Eq. (14) on
z we may prove that
τp(
z) is an increasing function of
z when
z → ∞. Hence, the condition (15) with the pulse width
τp(
z) given by
Eq. (14) can be satisfied with any accuracy for sufficient distances. However, the conditions (8) or (15) are necessary but not sufficient for the existence of the parabolic solutions. We demonstrate this point in the following section for fiber amplifiers with gain saturation. It is shown that if the dimensionless saturation energy parameter
is small enough (
ηs <
ηc with
ηc ≃ 0.3) then the pulses propagating in fiber amplifiers will evolve into the Hyper-Gaussian similariton regime.
3. Parabolic solution of NLSE with gain saturation
We present in this section a new asymptotically exact parabolic solution of NLSE with gain saturation. Using the standard model for the saturation effect [
15G. P. Agrawal, Applications of Nonlinear Fiber Optics (Academic Press, 2001).
] given by
Eq. (2), the energy of the pulses can be found by
Solving
Eq. (16) we can find the energy of the pulse from the following equation:
with
E0 =
E(0). Introducing the dimensionless energy
ε (
ξ) =
E(
z)/
Es and the distance
ξ =
g0z, we can find the dimensionless energy with a good accuracy using a first iteration of
Eq. (17):
when the condition
ξ ≫ |
α−1 − ln(
αξ)| is satisfied.
Similarly, we define the pulse width
τp(
z) of the similaritons in the form:
where the distance dependent function
T (
ξ) is dimensionless. Using this expression we can rewrite
Eq. (14) and
Eq. (16) in the form:
This system of nonlinear differential equations for the functions
T (
ξ) and
ε (
ξ) yields the second order differential equation for the function
W (
ε) =
T (
ξ):
In the case when
ε ≫ 1 we can prove that the condition
W2(
dW/dε) ≪ (1 +
ε)
3 is satisfied and hence
Eq. (21) reduces to the equation:
It follows from
Eq. (18) that
ε (
ξ) =
ξ asymptotically when
ξ → ∞. Setting
T (
ξ) =
W (
ε) and
ξ =
ε we can also derive
Eq. (22) from the first equation of the system
(20) for
ε ≫ 1.
Let us define a new function
Y (
x) by equation
W (
ε) =
εY (
x) with
x = ln(
ε/ε̄) where
ε̄ is an integration constant. Hence,
Eq. (22) can be written in terms of
Y (
x) as
Finally, applying the ultimate transformation
Y (
x) =
U (
x)
1/3 one can write
Eq. (23) as follows:
We have found the particular solution of this nonlinear differential equation in the form of a series:
where
n = −1, 0, 1, 2,… and
m = 0, 1, 2,… . The important characteristic of this series is that the coefficients (matrix
Bnm) can be found using a sequential algorithm: first we find all non zero values of
Bnm for
n = −1; secondly we find all non zero values of
Bnm for
n = 0; … finally we find all non zero values of
Bnm for
n =
k where
k is an arbitrary positive integer number. Thus, the
Eq. (24) and
Eq. (25) together with above sequential algorithm yields the solution in the form:
This solution is not a unique solution for
Eq. (24), however it is the required asymptotical solution when the gain is given as
g (
z) =
g0(1 +
E (
z)
/Es)
−1.
We define the integration constant
σ = −ln
ε̄, then
x = ln(
ε/ε̄) =
σ + ln
ε and the function
W (
ε) =
εU (
σ + ln
ε)
1/3 is
Selecting only the main asymptotical terms in this series we find the asymptotical solution in the form
W (
ε) =
ε (
κ +3ln
ε)
1/3 where
κ = 3
σ + 5. Therefore, since
T (
ξ) =
W (
α−1 +
ξ − ln(
αξ)) we can write the asymptotical solution for the dimensionless width as
Finally, we obtain the analytical expression for the effective pulse width:
Hence, for sufficient propagation distances (3ln
ε (
ξ) ≫ |
κ|), the effective pulse width is proportional to
ε (
ξ)[ln
ε (
ξ)]
1/3. The peak power
P(
z) and the phase function
C(
z) of the pulses can be found using
Eq. (13):
It follows from
Eq. (12) that the chirp of the pulses has the form Ω(
z,τ) = −2
C(
z)
τ where the phase function
C(
z) is given by
Eq. (31). This yields, in the asymptotic regime, the chirp function Ω(
z,τ) =
τ/(
β2z).
The
Eqs. (30),
(31) demonstrate that the peak power
P(
z) and the chirp Ω(
z,τ) of the parabolic similaritons in a fiber amplifiers under the influence of gain saturation are asymptotically decreasing functions of the propagating distance
z. Furthermore, for long propagating distances the asymptotical solution is independent of
α and hence it is independent of the input energy
E0 of the pulses.
The asymptotical solution given by
Eqs. (11)–
(13) and
Eqs. (29)–
(31) becomes close to the exact solution when the condition 3ln
ε (
ξ) ≫ |
κ| is satisfied. Using
Eq. (18) we can write this condition in an explicit form as
The integration constant
κ defines the region (
zb, +∞) where the asymptotical solution has a high accuracy. In principle, the asymptotical solution for large enough
z does not depend on
κ, but the bound
zb depends on
κ. To estimate the parameter
κ which leads to the smallest bound
zb for the asymptotical solution we define the value
ε0 by the condition
W (
ε0) =
ε0(
κ + 3ln
ε0)
1/3 = 0. Hence we set by definition
κ = 3
σ + 5 = −3ln
ε0. We note that
z0 defined by relation
ε0 =
ε(
z0) is a singular point for the analytical solution given by
Eqs. (29)–
(31) because
P(
z) ∼ (
κ +3ln
ε (
z))
−1/3 and hence
P(
z0) = ∞ and
τp(
z0) = 0. We also require that
W2(
dW/dε) ≪ (1 +
ε)
3 for
ε >
ε0 since
Eq. (22) follows from
Eq. (21) when this condition is satisfied. Using the asymptotical solution
W (
ε) =
ε (
κ + 3ln
ε)
1/3 we can write this condition as
ε2(
κ +3ln
ε)+
ε2 ≪ (1+
ε)
3 for
ε >
ε0. This condition for
κ = −3ln
ε0 and
ε ≫ 1 has the form 1 + 3ln(
ε/ε0) ≪
ε. It is satisfied for
ε >
ε0 with a minimal value for
ε when
ε ≃
ε0 ≃ 10, hence
κ = −3ln
ε0 ≃ −7 and
σ ≃ −4.
The parameter σ is defined as σ = −lnε̄ where ε̄ is some integration constant. We can choose this integration constant as ε̄ ≃ 55 which yields κ ≃ −7 and leads to a minimal value of the bound zb for the interval (zb, +∞) of distances where the asymptotical solution has a high accuracy. This result is also confirmed by our numerical simulations which we present in the next section.
4. Numerical simulations of parabolic similaritons
It is useful for numerical simulations to define the dimensionless variables which do not depend on the parameters connected with initial condition for NLSE given by
Eqs. (1) and
(2). Thus, the natural dimensionless variables are
In this case the NLSE, describing the model saturation effect with the gain
g(
z) =
g0(1 +
E(
z)/
Es)
−1 and
σ = 0 has the form:
The dimensionless energy of the pulses
can be written as
, and the dimensionless saturation energy
ηs and input energy
η0 of the pulses are given by
with
η0 =
η(0) and
E0 =
E(0). Hence, the dimensionless NLSE depends only on a single parameter
ηs. It is shown below that the propagation of the pulses in the fiber amplifiers with the gain given by
Eq. (2) are critically dependent on the value of the parameter
ηs.
Using
Eqs. (11)–
(13) and
Eqs. (29)–
(31) we may rewrite the exact asymptotical solution of the NLSE with saturation effect in dimensionless form as
χ (
ξ,ζ) =
u (
ξ,ζ)exp(
iϕ (
ξ,ζ)) where the amplitude
u (
ξ,ζ) is
The dimensionless chirp
ω (
ξ,ζ) = −
ϕζ (
ξ,ζ) of the similaritons is given by
Hence for
ξ ≫ 1 the chirp has the form
ω (
ξ,ζ) =
ζ/ξ. We can use in these equations an arbitrary integration constant
κ for sufficiently large distances
ξ, but the value
κ = −7 yields a minimal value for the bound
ξb of the interval (
ξb, +∞) of distances where the asymptotical solution given by
Eqs. (36)–
(39) has a high accuracy. We choose in our simulations the Gaussian input pulse
and the following parameters of the fiber amplifier:
β2 = 0.02
ps2m−1,
γ = 2·10
−5 W−1m−1,
g0 = 2
m−1. The input energy
E0 = 200
pJ and the saturation energy
Es = 2 · 10
4 pJ lead to a dimensionless input energy
η0 = 0.02 and dimensionless saturation energy
ηs = 2. Using these parameters the numerical solution (solid line) and the analytical solution (dotted line), given by
Eqs. (36)–
(39), are plotted in
Fig. 1 and
Fig. 2 for two different dimensionless distances
ξ, respectively 400 and 4000. The agreement between the numerical and the analytical temporal profile and chirp of the pulses is good in both cases. Therefore we can conclude that the pulse in
Fig. 1 with
ξ = 400 has already reached the self-similar regime.
Fig. 1 Pulse power (a) and chirp (b) of numerical (solid line) and analytical (dotted line) solutions for distance parameter ξ = 400 with saturation energy parameter ηs = 2 and input energy parameter η0 = 0.02. The dimensionless energy η (ξ) is demonstrated in the inset diagram (a).
Fig. 2 Pulse power (a) and chirp (b) of numerical (solid line) and analytical (dotted line) solutions for distance parameter ξ = 4000 with saturation energy parameter ηs = 2 and input energy parameter η0 = 0.02. The dimensionless energy η (ξ) is demonstrated in the inset diagram (a).
In
Fig. 3 and
Fig. 4 we show the numerical solution (solid line) and the analytical solution (dotted line) for a large value of the saturation energy parameter
ηs = 100 (with
η0 = 10
−3) and for dimensionless distances
ξ = 100 and
ξ = 600 respectively. We observe again a good match between our analytical solution and the numerical simulations. Small differences between the numerical and the analytical power profiles in
Fig. 4 are connected with the numerical error for the split-step Fourier method with the large parameters
ηs = 100 and
ξ = 600. This is the result of an inevitable trade off between computational time and precision in the numerical simulations.
Fig. 3 Pulse power (a) and chirp (b) of numerical (solid line) and analytical (dotted line) pulse for distance parameter ξ = 100 with saturation energy parameter ηs = 100 and input energy parameter η0 = 10−3. The dimensionless energy η (ξ) is illustrated in the inset diagram (a).
Fig. 4 Pulse power (a) and chirp (b) of numerical (solid line) and analytical (dotted line) pulse for distance parameter ξ = 600 with saturation energy parameter ηs = 100 and input energy parametyer η0 = 10−3. The dimensionless pulse energy η (ξ) is illustrated in the inset diagram (a).
5. Hyper-Gaussian similaritons
We have found in the previous section that the dimensionless NLSE depends only on a single parameter
which is the dimensionless saturation energy. Our numerical simulations have also shown that the propagation of the pulses in the fiber amplifiers with saturated gain are critically dependent on this parameter. It has been found that when the condition
ηs >
ηc (
ηc ≃ 0.3) is satisfied, the input pulses will evolve into a similariton regime with a parabolic shape and linear chirp as described in the above sections. In contrast, when the condition
ηs <
ηc is satisfied the input pulses evolve into a different similariton regime with a linear chirp. This new type of HG (Hyper-Gaussian) similariton regime is demonstrated in
Fig. 5. In this figure the numerical solutions (red solid lines) show the new similariton which differs from the parabolic analytic solutions (blue dot lines), but the chirp of both pulses is the same (see
Fig. 6(b)). However, the numerical simulations are in good agreement with the HG similariton solution of
Eq. (1) which is also presented in this figure (green dotted lines). The analytical HG similariton solution of
Eq. (1) for the pulse power is
where
w(
z) =
μ(
zc +
z) is the width of HG similariton which increases linearly with distance. Here
μ,
zc and
σn are constant parameters depending on the input wave function
ψ0(
τ) (
ψ|
z=0 =
ψ0(
τ)). The relation
yields the constant parameter
. When the gain is given by
Eq. (2) we can represent the constant width parameter in the form
μ =
ρ(
γβ2Esg0)
1/3 where
ρ is a dimensionless factor. Hence the width of HG pulse in this case is
The phase of HG similaritons has the form:
This equation yields the chirp of HG similaritons at
z → ∞ as
Fig. 5 Pulse power of numerical HG pulse (solid line), analytical parabolic solution (blue dotted line) and analytical HG pulse power profile (green dotted line) for distance parameters
ξ = 8000 (a) and
ξ = 14000 (b) with saturation energy parameter
ηs = 0.1 and input energy parameter
η0 = 10
−4. The Hyper-Gaussian pulse power profile is given by
Eq. (44).
Fig. 6 (a) Pulse spectrum of input pulse (dotted line) and numerical output HG pulse (solid line) for distance parameter ξ = 14000. (b) Chirp of numerical output HG pulse (red curve) and analytical HG pulse (blue line) with distance parameter ξ = 14000. Here the saturation energy parameter and input energy parameter are ηs = 0.1 and η0 = 10−4.
From
Eq. (31) and
Eq. (43) it follows that asymptotically (at
z → ∞) the chirp for HG and parabolic similaritons is the same. The derivation of the HG similariton solution given by
Eqs. (40)–
(42) for a particular class of gain functions and in particular for distributed gain as in
Eq. (2) will be presented elsewhere.
We have found analytically and confirmed numerically in our simulations that the higher order terms (
n > 4) in the expansion of
Eq. (40) can be neglected with good accuracy. Moreover, if the shape of the input pulse is symmetric then the expansion in
Eq. (40) has only terms with even values of
n. We note that without loss of generality one can also choose in
Eq. (40) the parameter
σ2 = 1. Thus the power of the HG pulses in this case with a good accuracy is given by
where
w(
z) =
μ(
zc +
z) and
. We name these pulses Hyper-Gaussian similaritons because the shape of such self-similar pulses is a product of Gaussian and Super-Gaussian distributions. It also follows from
Eq. (42) and
Eq. (44) that the phase and the amplitude of HG similaritons for sufficient distances (
z ≫
zc) depend on two parameters
μ and
σ which can be found numerically from
Eq. (1).
Figure 6(a) demonstrates that the HG similaritons undergo only small spectral broadening with a very smooth shape which can be of particular interest for fiber based amplification systems. The linear chirp of HG similaritons (see
Fig. 6(b)) is the most important feature of these pulses since it allows easy spectral manipulation and compression. We also emphasize that when the saturation effect is significant the peak power
P(
z,0) of HG similaritons given by
Eq. (40) and
Eq. (44) is asymptotically constant.
The asymptotic propagation of parabolic similaritons is connected with the global attractor of the NLSE when
ηs >
ηc. For some class of gain functions this attractor will force any input pulse, regardless of its shape, to evolve into the similariton regime with parabolic power profile [
10V. I. Kruglov and J. D. Harvey, “Asymptotically exact parabolic solutions of the generalized nonlinear Schrodinger equation with varying parameters,” J. Opt. Soc. Am. B 23, 2541–2550 (2006). [CrossRef]
]. We have also observed that for some class of decreasing gain functions the pulses will evolve into the HG similariton regime. To study the existence of an attractor of the NLSE driving the pulses into the asymptotic HG similariton regime we have performed many simulations launching pulses with different temporal shapes. The result of these simulations is shown in
Fig. 7. This figure demonstrates that all different input pulses evolve towards the HG regime when the condition
ηs <
ηc is satisfied. A good fit is obtained for all of them, confirming the existence of an attractor of the NLSE driving different input pulses into an asymptotic HG similariton regime.
Fig. 7 Power profiles for numerical HG (solid line) and analytical HG (dotted line) pulses for distance parameter ξ = 8000 with four different input pulses and ηs = 0.1, η0 = 10−4. The parabolic analytical solution is also shown (dashed line) which differ substantially from numerical and analytical HG similaritons.