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Gain Saturation

Author: the photonics expert

Definition: the phenomenon that the gain of an amplifier is reduced for high input signal powers

Alternative term: gain compression

More specific terms: homogeneous saturation, inhomogeneous saturation

Categories: article belongs to category laser devices and laser physics laser devices and laser physics, article belongs to category optical amplifiers optical amplifiers, article belongs to category physical foundations physical foundations

DOI: 10.61835/84g   Cite the article: BibTex plain textHTML   Link to this page   LinkedIn

An amplifier device such as a laser gain medium cannot maintain a fixed gain for arbitrarily high input powers because this would require adding arbitrary amounts of power to the amplified signal. Therefore, the gain must be reduced for high input powers; this phenomenon is called gain saturation (or gain compression).

In the case of a laser gain medium, the gain does not instantly adjust to the level according to the optical input power because the gain medium stores some amount of energy (excitation energy of the laser-active ions, atoms or molecules), and the stored energy determines the gain. For example, a sudden increase in the signal input power of a laser gain medium will reduce the gain only within a certain time because the population in excited laser ions is only reduced with a certain finite rate. This has important consequences for the laser dynamics.

With some simplifying assumptions (in particular, small gain and ignoring transverse variations of intensity), the general dynamic equation for the laser gain is

$$\frac{{\partial g}}{{\partial t}} = - \frac{{g - {g_{{\rm{ss}}}}}}{{{\tau _{\rm{g}}}}} - \frac{{g\;P}}{{{E_{{\rm{sat}}}}}}$$

where <$g$> is the logarithmic gain coefficient, i.e., the natural logarithm of the ratio of output power to input power; it is assumed to be small. (Otherwise, the optical power would vary substantially within the gain medium.) <$g_\rm{ss}$> is the small-signal gain (for a given pump intensity), <$\tau_\textrm{g}$> the gain relaxation time, <$P$> the power of the amplified beam, and <$E_\rm{sat}$> the saturation energy of the gain medium. Note that the power amplification factor is <$\exp(g)$> (which is <$\approx 1 + g$> for small <$|g|$>), and must not be confused with <$g$> itself.

The mentioned gain relaxation time is usually the upper-state lifetime of the laser gain medium, but it may be reduced for operation in a regime with pump intensities above the pump saturation power. Cases where this reduction occurs are not very common in practice.

Note that this way of treating gain saturation cannot easily be applied to wavelength-dependent gain; that issue is discussed further below.

Gain Saturation in the Steady State

In the steady state (i.e., for long time scales with constant pump power and resonator losses), the gain is

$$g = \frac{{{g_{{\rm{ss}}}}}}{{1 + \frac{{{\tau _{\rm{g}}}\;P}}{{{E_{{\rm{sat}}}}}}}} = \frac{{{g_{{\rm{ss}}}}}}{{1 + \frac{P}{{{P_{{\rm{sat}}}}}}}}$$

where <$P_\rm{sat}$> is the saturation power. Note that it has been implicitly assumed that the pump rate is constant, i.e. there are no effects of pump saturation. That assumption is well justified in most, but not all cases.

gain saturation in steady state
Figure 1: Saturated gain versus signal power (for a constant pump power) in the steady state.

For example, the gain is reduced to half the small-signal gain if the signal power equals the saturation power.

Calculations for large gain are more sophisticated, essentially because the optical intensity varies significantly within the amplifier. A straightforward approach is to divide a high-gain amplifier into a sequence of low-gain amplifiers, which can all be treated with the low-gain approximation. However, there are numerically more efficient techniques which do not require such a subdivision.

The transverse variation of optical intensity of a laser beam can modify the saturation characteristics: laser-active ions in the outer parts of the beam require a higher optical power to be saturated. This effect somewhat modifies the saturation curves as shown e.g. in Figures 1 and 2.

The presented equations can also be used for high repetition rate pulse trains with sufficiently low pulse energy. Gain saturation may then be determined only by the average power.

Gain Saturation by an Optical Pulse

When a light pulse is amplified, we cannot expect that at each point in time the strength of gain saturation is according to the signal power at that time. Neither we can expect that the degree of gain saturation is constant during the pulse time. Therefore, the following (sometimes seen) equation is completely wrong:

$$g_{\rm pulse} = \frac{g_0}{1 + E_{\rm p} / E_{\rm sat}}$$

After all, gain saturation is a cumulative effect, changing during the pulse time, thus being dependent on what happened at earlier times. It must be described with a differential equation like the one given above.

For optical amplification of a short pulse (with a duration well below the upper-state lifetime), spontaneous emission during the time of pulse amplification is not important. Also, the influence of pump light can usually be neglected (except for pulsed pumping with high intensity). The gain after the pulse is then reduced by a factor <$\exp(-E_\textrm{p} / E_\rm{sat})$>, where <$E_\textrm{p}$> is the pulse energy. For example, the gain is reduced to 1 / e ≈ 37% of the initial value, if <$E_\textrm{p} = E_\rm{sat}$>.

gain saturation by a pulse
Figure 2: Reduction in gain by a short pulse. The solid curve shows the gain after the pulse, and the dashed curve the average gain experienced by the pulse.

The effective gain as experienced by the pulse is some averaged value, as the gain decreases during pulse amplification. This average gain can be calculated by considering the reduction in the stored energy in the gain medium. In the simpler case, where the gain is small, so that the intensity is approximately constant within the amplifier, the result is

$${g_{\rm{p}}} = {g_0}\frac{{{E_{{\rm{sat}}}}}}{{{E_{\rm{p}}}}}\left( {1 - \exp ( - {E_{\rm{p}}}/{E_{{\rm{sat}}}})} \right)$$

where <$g_0$> is the initial gain coefficient. (See the dashed curve in Figure 2.) In the more general case with arbitrarily high gain, one may use the Frantz-Nodvik equation

$${E_{{\rm{out}}}} = {E_{{\rm{sat}}}}\ln \left[ {1 + \exp ({g_0})\left( {\exp ({E_{{\rm{in}}}}/{E_{{\rm{sat}}}}) - 1} \right)} \right]$$

and obtain

$$\exp ({g_{\rm{p}}}) = \frac{{{E_{{\rm{sat}}}}}}{{{E_{{\rm{in}}}}}}\ln \left[ {1 + \exp ({g_0})\left( {\exp ({E_{{\rm{in}}}}/{E_{{\rm{sat}}}}) - 1} \right)} \right]$$

(Note that in the equations above, <$g_0$> and <$g_\textrm{p}$> are dimensionless gain coefficients, not the gain per unit length.)

An implicit underlying assumption is that there is always a thermal equilibrium within the involved Stark level manifolds. That assumption may be violated for an intense femtosecond pulse. In such cases, the effective amplification and energy extraction may be smaller than estimated with the presented equations.

Figure 3 shows a numerically simulated example where an optical pulse is amplified in a fiber amplifier. The shape of the amplified pulse is substantially distorted, since the amplifier gain drops substantially during the pulse due to gain saturation.

pulse amplification in a fiber amplifier
Figure 3: Amplification of an optical pulse in an erbium-doped fiber amplifier. While the input pulse (not shown) has a rectangular shape, the output pulse is strongly distorted due to gain saturation. The diagram has been taken from a case study done with the RP Fiber Power software.
case study edfa for pulses

Case Studies

Case Study: Erbium-doped Fiber Amplifier for Rectangular Nanosecond Pulses

We deal with deformations of the pulse shape due to gain saturation. These can be minimized by pre-distorting the input pulses.

Such strong saturation effects are common for cases where one tries to extract much of the stored energy from a high-gain amplifier with a single pulse. Numerical simulations (e.g. based on rate equation modeling) are often needed for analyzing such devices. Note that the saturation conditions can be very different between the input and output ends of the amplifier, and nonlinear effects can additionally complicate the behavior.

Tutorials

tutorial fiber amplifiers

Fiber Amplifiers
Part 7: Fiber Amplifiers for Nanosecond Pulses

We discuss fiber amplifiers for short pulses with nanosecond durations. Various issues such as fiber nonlinearities, gain saturation and ASE are considered.

Homogeneous and Inhomogeneous Saturation

An important issue is the homogeneous or inhomogeneous nature of gain saturation. Homogeneous gain saturation means that the spectral shape of the gain is not affected by the saturation. This is the case e.g. when all laser-active ions have the same emission spectrum. In some gain media, particularly in disordered media such as glasses, the laser ions can occupy different sites in the lattice, and the differing local electric fields affect the wavelengths and strength of the different transitions. This can lead to inhomogeneous saturation (Figure 4), where the spectral shape changes; typically, the gain around the laser wavelength is saturated more than the gain at other wavelengths.

inhomogeneous gain saturation
Figure 4: Demonstration of inhomogeneous gain saturation.

A laser at 1064 nm saturates the gain around 1064 nm more than the gain at other wavelengths. For comparison, the unsaturated gain (without laser power) is shown as a dotted curve.

Another cause of inhomogeneous gain medium can be spatial hole burning in linear laser resonators, caused by the wavelength-dependent standing-wave pattern in the gain medium.

In any case, inhomogeneous gain saturation can make it difficult to achieve single-frequency operation, since non-lasing resonator modes are favored in terms of gain. The homogeneous or inhomogeneous nature of gain saturation also has important effects on the mode-locking behavior and particularly for Q switching and for amplifiers.

Saturation of Wavelength-dependent Gain

Gain saturation is often described with differential equations in the time domain, as explained above. A substantial difficulty is under certain circumstances that both the laser gain and the amplified optical fields have a substantial bandwidth, and those wavelength dependencies should be taken into account. This is particularly the case for the amplification of intense femtosecond pulses, e.g. in chirped-pulse amplifier systems. Various approaches have been applied in order to address that challenge:

  • In time-domain differential equations for pulse envelopes, one can take into account the frequency dependence of the laser gain in the form of temporal derivatives; for example, a parabolic spectral gain shape would be described with a second-order time derivative. At the same time, gain saturation can be described based on the time-integrated optical power [1]. That approach, however, ignores the effect of the frequency dependence of the optical fields on the saturation. It is therefore not appropriate in cases where the pulse bandwidth is not small compared with the gain bandwidth.
  • An entirely different approach is to describe ultrashort pulses with time–frequency distributions [2]. Numerically, one uses two-dimensional grids involving both the time and frequency dimension; that allows the simultaneous treatment of time and frequency dependence in a way is developed in the context of radiative transfer theory. The weakness of that approach is that coherent effects, which are often important in the context of ultrashort pulses (e.g. related to limitations of the time–bandwidth product), are ignored. That is acceptable in some cases, but problematic e.g. for an all-purpose simulation software.
  • Models have been developed where short sections of strongly chirped pulses are considered as quasi-monochromatic, so that simple rate equations can be applied [3]. That approach can give a reasonable accuracy but requires quite specific assumptions on the amplified pulse; it is therefore not well applicable to a general simulation software, for example.
  • Another possibility is to use Maxwell–Bloch equations. That allows one to include the full microscopic dynamics of the gain medium. However, this approach is usually not practical for application to solid-state laser amplifiers (and many others), where a huge number of laser-active ions with microscopically different properties are interacting with a laser pulse.
  • Ref. [4] describes a method where essentially a pulse is divided into multiple temporal sections, but without requiring specific assumptions on the details of the amplified pulse. Numerical artifacts are avoided by using a “soft” slicing algorithm based on a smooth window function. For each slice, a Fourier transform into the frequency domain is used in order to take into account the frequency dependence of the gain, and the numerical accuracy is good as long as the saturation caused by a single slice is relatively weak. Although the slices cannot be made arbitrarily short because otherwise one would lose the required frequency resolution, the method is practical in a wide range of cases, for example for CPA-type fiber amplifiers. The algorithm is used in the RP Fiber Power software.

Saturation Characteristics of Different Gain Media

Different kinds of gain media differ very much in their gain saturation characteristics:

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Bibliography

[1]G. P. Agrawal, “Effect of gain dispersion on ultrashort pulse amplification in semiconductor laser amplifiers”, IEEE J. Quantum Electron. 27 (6), 1843 (1991); https://doi.org/10.1109/3.90014
[2]E. Yahel, O. Hess, and A. A. Hardy, “Ultrashort-pulse high-power Yb3+-doped fiber amplifiers”, IEEE J. Quantum Electron. 43 (9), 824 (2007); https://doi.org/10.1109/JQE.2007.902390
[3]D. N. Schimpf, J. Limpert, and A. Tünnermann, “Optimization of high performance ultrafast fiber laser systems to 10 GW peak power”, J. Opt. Soc. Am. B 27 (10), 2051 (2010); https://doi.org/10.1364/JOSAB.27.002051
[4]R. Paschotta, “Modeling of ultrashort pulse amplification with gain saturation”, Opt. Express 25 (16), 19112 (2017); https://doi.org/10.1364/OE.25.019112

(Suggest additional literature!)

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