
- Chinese Optics Letters
- Vol. 22, Issue 10, 101403 (2024)
Abstract
1. Introduction
Presently, the investigation of solitons has involved many fields such as hydromechanics[1], Bose–Einstein condensates[2], and nonlinear optics[3]. The rapid development of ultrafast fiber lasers also provides conditions for studying optical solitons in nonlinear dissipative systems. Since the first theoretical prediction of the existence of solitons in optical fibers[4], an abundance of soliton phenomena such as the conventional soliton (CS), dissipative soliton (DS), noise-like pulse (NLP), and soliton explosion has been discovered in ultrafast fiber lasers[5-8]. Unlike the CS, the DS maintains balance without relying on the positive and negative chirps generated by nonlinear and anomalous dispersion effects. Instead, bandpass filters are introduced to achieve an equilibrium among gain, loss, dispersion, and nonlinearity[9]. CS or DS is reported to be converted to NLP by the peak-power-clamping effect when the pump power is increased or the polarization controller (PC) is adjusted[10-13]. However, the dynamic switching process between the DS and NLP and whether it is reversible is still an open question.
Ultrafast fiber lasers also enable mode-locking of multiple wavelengths, resulting in coexisting multicolor pulses[14,15]. This method can produce highly coherent dual-comb sources with low system complexity, making it a promising single-cavity dual-comb technique[16]. However, owing to the different group velocities, the dual-color pulses undergo periodic collisions in the cavity. Pulse interactions in the cavity both affect the performance of the dual-comb sources and contain interesting dynamical mechanisms. The same type of dual-color pulse dynamics based on wavelength multiplexing[17-19] has been reported by exploiting a time-stretch dispersive Fourier transform (TS-DFT) detection technique[20], although dual wavelengths with different pulse types have been found in wavelength multiplexing[21]. The dynamics of such dual-color pulse collisions requires still further exploration.
In this Letter, we construct an all-normal dispersion ytterbium-doped fiber laser based on a mode-locked nonlinear amplifying loop mirror (NALM). Real-time spectra of DS and NLP inter-switching are obtained for the first time by adjusting the pump power, and the reversibility of the process is demonstrated. In addition, the dynamics of dual-color pulse collisions for different pulse types are investigated. The results indicate that the pulse duration and pulse period of different types of pulses lead to different collision durations of dual-color pulses. During the post-collision spectral reconstruction process, the dual-color pulses exchange energy twice for their respective accumulation dynamics. Afterward, some energy is released to complete the spectral reconstruction. And the collision process has randomness. These research findings deepen the understanding of soliton dynamics.
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2. Experimental Setup
The experimental setup of the single-/dual-wavelength mode-locked fiber laser based on NALM is shown in Fig. 1(a). A
Figure 1.Schematic setup. (a) The mode-locked fiber laser with NALM. (b) The TS-DFT detection system.
A total of 90% of the optical signal oscillates inside the cavity, and the remaining 10% is output by OC2 to monitor output characteristics. Figure 1(b) displays the monitoring device, where the output signal is divided by the OC (70:30) into two parts for separate detection. A total of 70% of the output pulse signal is stretched by 2 km of dispersion compensating fiber (DCF, G652C/250,
3. Results and Discussion
3.1. Single-wavelength
Experimentally, the saturation absorption effect of NALM causes the laser to operate in a passively mode-locked state. As shown in Fig. 2, by carefully manipulating the PCs, the DS and NLP are obtained at pump powers of 107 mW and 117 mW, respectively, with 3 dB bandwidths of 6.32 nm and 5.48 nm. Setting the rising edge trigger of the oscilloscope to the amplitude height of the NLP increases the pump power from 107 mW to 117 mW, thereby capturing the dynamic spectrum of the DS to NLP evolution. We intercepted the time series of 140 µs and segmented it with a period of 62.30 ns for spectral dynamic evolution analysis, and the result is shown in Fig. 3(a). It is worth mentioning that the DCF used in the experiment operates at 1.5 µm, and the UPC jumper has a large return loss at 1 µm. This led to the creation of weak reflected pulses with the same evolution next to the main pulse, which did not affect the analysis of the evolution of the main pulse. The shot-to-shot spectra in dashed box 1 are shown in the inset of Fig. 3(a), where the conversion of DS to NLP can be observed at the
Figure 2.Single-wavelength. (a) The spectrum of the DS in the logarithmic and linear scales. (b) The spectrum of NLP in the logarithmic and linear scales.
Figure 3.DS and NLP characteristics. (a) DS to NLP shot-to-shot spectra. (b) RF spectrum and autocorrelation trace of the DS. (c), (d) RF spectrum and autocorrelation trace of the NLP. (e) NLP to DS shot-to-shot spectra. (f)–(h) Close-ups of regions 2, 3, and 4 in (e).
Figure 4.Typical single-shot spectra. (a) DS to NLP. (b) NLP to DS.
Simultaneously, the switching process between the DS and NLP is reversible. With the pump power reduced from 117 mW to 107 mW, we capture the dynamic process of NLP to DS evolution as shown in Figs. 3(e)–3(h). The NLP contains high energy and requires multiple relaxation oscillations to release the energy with the aim of transitioning to stable mode-locked DS. However, the number and duration of relaxation oscillations depend on the equilibrium state in the cavity having some randomness. In Fig. 3(e), the NLP undergoes two relaxation oscillations and then obtains mode-locked DS. On closer inspection, the shot-to-shot spectra mode-locked from the 700th to the 1100th round-trips in dashed box 2 are the NLP state shown in Fig. 3(f). Figure 3(g) shows the 4000th to 5000th round-trips in dashed box 3, which is experiencing small relaxation oscillations, but the spectrum is still characterized by significant NLPs. Figure 3(h) shows the shot-to-shot spectrum from the 9500th to 12,000th round-trips in dashed box 4. During the relaxation oscillations, the NLP characteristic is gradually weakened (the 9500th to ∼10,200th round-trips) and evolves into DS relaxation oscillations (the ∼10,201st to ∼11,060th round-trips), and the amplitude of the oscillations gradually decays until stable DS output is formed (the ∼11,061st to 12,000th round-trips). Further, typical single-shot spectra during NLP to DS evolution are shown in Fig. 4(b). Interestingly, switching between the DS and NLP is also possible by adjusting the PCs, but capturing the dynamic evolution is relatively difficult.
3.2. Dual-wavelength
Proverbially, intracavity birefringence and polarization-dependent loss can jointly generate spectral filtering effects[23]. Selecting a reasonable free spectral region ensures that the spectral filter has two transmission peaks simultaneously in the higher amplified spontaneous emission band, thereby creating conditions for mode-locked dual-wavelength. In our experiment, by boosting the pump power to 261 mW and rotating the PCs, three modes of mode-locking at 1039 nm and 1059 nm are achieved, including dual-NLP, NLP-DS, and dual-DS, as shown in Fig. 5. The dynamic evolution of dual-wavelength collisions with different pulse types is analyzed using the TS-DFT technique, where the pulses at 1039 nm and 1059 nm are defined as a blue pulse and red pulse, respectively.
Figure 5.Dual-wavelength. (a) The spectrum of the dual-NLP in the logarithmic and linear scales. (b) The spectrum of the NLP-DS in the logarithmic and linear scales. (c) The spectrum of the dual-DS in the logarithmic and linear scales.
Figures 6(a)–6(d) illustrate the output characteristics of dual-color pulses in mode-locked dual-NLP. Different wavelengths have different group velocities, which leads to periodic collisions of dual-color pulses in the cavity. The collision period
Figure 6.Dual-color pulse characteristics. (a)–(d) The shot-to-shot spectra, pulse trains, RF spectrum, and autocorrelation trace of the dual-NLP. (e)–(h) The shot-to-shot spectra, pulse trains, RF spectrum, and autocorrelation trace of the NLP-DS. (i)–(l) The shot-to-shot spectra, pulse trains, RF spectrum, and autocorrelation trace of the dual-DS.
Figure 7.Typical single-shot spectra for collision and spectral reconstruction. (a)–(c) Dual-NLP, NLP-DS, and dual-DS collision processes. (d)–(f) Dual-NLP, NLP-DS, and dual-DS spectral reconstruction processes.
Typical single-shot spectra during reconstruction [the 1275th, 1342nd, 1492nd, 1500th, and 1681st in Fig. 6(a)] are presented in Fig. 7(d). The process is accompanied by two energy exchanges of dual-color pulses, where the energy of the blue pulse is swallowed by the red pulse, and the energy of the red pulse reaches a peak, as shown in Fig. 7(d)-I. After accumulating enough energy[25], the red pulse releases some energy while the blue pulse gradually increases in energy until it swallows up the energy of the red pulse, as shown in Figs. 7(d)-II and 7(d)-III. After that, the blue pulse also releases some energy, causing the dual-color pulses to reshape into a stable mode-locked state for the next new collision, as shown in Figs. 7(d)-IV and 7(d)-V. To our knowledge, the process of explosion and collapse caused by collision and then the return to a stable state is a unique soliton explosion phenomenon in dissipative system dynamics[26]. In the pulse sequence of Fig. 6(b) without DCF, the amplitude instability of dual-color pulses is one of the characteristics of the NLP. In the RF spectrum shown in Fig. 6(c), the repetition rate difference is
The shot-to-shot spectra of the blue pulse as the NLP and the red pulse as the DS are shown in Fig. 6(e), which have the same evolution process as dual-NLP. Typical single-shot spectra of the collision [the 910th, 930th, 968th, 1010th, 1030th in Fig. 6(e)] and reconstruction processes [the 1320th, 1637th, 1656th, 1680th, 1760th in Fig. 6(e)] are presented in Figs. 7(b) and 7(e). The pulse train of the DS with a smooth amplitude and the NLP with large fluctuation is shown in Fig. 6(f), where the pulse energy of the NLP exceeds the DS. The noise pedestal in Fig. 6(g) is due to the presence of the NLP. The pedestal of the autocorrelation trace in Fig. 6(h) is slightly reduced compared to Fig. 6(d).
The shot-to-shot spectra of the dual-color pulses (both DS) are shown in Fig. 6(i). To satisfy the conditions for NLP generation, the DS splits the pulse when the 261 mW power is too high. Because of the same evolutionary features, the spectral intensity variation data in the inset are taken from the set of pulses on the right. The small burst peak from the
The different pulse durations and pulse periods of the dual-color pulses in the three modes lead to slight differences in the interaction length at the time of the collision[27]. Furthermore, close-ups of the regions of two collisions of dual-color pulses consisting of dual-DS are displayed in Fig. 8. By comparing 40 sets of single-shot spectra of five intervals uniformly distributed in the dashed box, we find that the characteristics of each collision are similar, but with the chaotic nature of soliton explosions[28], which makes the spectral details of each collision not the same. In addition, during the reconstruction process after the collision of dual-color pulses, the blue pulse at 1039 nm always completes the reconstruction first. The reason is that the gain intensity at 1039 nm is higher than that at 1059 nm, and the blue pulse occupies a competitive gain advantage in the reconstruction process.
Figure 8.Close-ups of regions of two collisions of dual-color pulses and typical single-shot spectra.
4. Conclusion
In summary, we document and analyze the dynamics of DS and NLP inter-switching by adjusting the pump power of a single-/dual-wavelength mode-locked fiber laser based on NALM. The collision dynamics of dual-color pulses with three different pulse types at wavelengths of 1039 nm and 1059 nm also have been investigated, respectively. The entire process experiences dual-color pulse collisions and completes accumulation dynamics separately, and then releases energy and reconstructs a stable spectrum. Our research enriches the soliton dynamics in terms of collisions with different pulse types.
References

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