Recent advances on time-stretch dispersive Fourier transform and its applications

Godin, Thomas; Sader, Lynn; Kashi, Anahita Khodadad; Hanzard, Pierre-Henry; Hideur, Ammar; Moss, David J.; Morandotti, Roberto; Genty, Goëry; Dudley, John M.; Pasquazi, Alessia; Kues, Michael; Wetzel, Benjamin

doi:10.1080/23746149.2022.2067487

Cited by 25 publications

(32 citation statements)

References 117 publications

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“…Using optoelectronic detection, encompassing ultrafast oscilloscopes and detectors, allows extracting successive “spectral” intensity profiles that can be analyzed with standard statistical tools (Figure b). The use of spectral correlation maps then allows for getting significant insight into the noise-dependent frequency conversion dynamics during nonlinear propagation . Specifically, these correlation maps can be calculated to find linear dependencies between wavelengths (λ 1 , λ 2 ) using Pearson correlation as defined in eq : Equation allows for constructing the spectral correlation maps retrieved experimentally from DFT-recorded spectral fluctuations I (λ) or, alternatively, from an ensemble of Monte Carlo simulations (for which angle brackets represent the average over the ensemble).…”

Section: Methodsmentioning

confidence: 99%

“…Real-time characterization techniques have been instrumental in gaining insights into fundamental aspects of photonics, nonlinear dynamics, chaotic systems, and complexity. ,,,, For instance, DFT techniques first allowed for the experimental study of incoherent frequency conversion processes, such as modulation instability (MI): The technique enabled the capture of nonrepetitive single-shot spectra with high-throughput (typically at MHz laser repetition rate), thus allowing the identification of extreme event formation, the statistical analysis of broadband spectral fluctuations, and the quantification of correlation features within complex noise-driven dynamics. ,,− Moreover, when combining DFT with time-lens approaches, one can gain insight into the optical field build-up and evolution within a laser cavity. ,− Due to its simplicity and efficiency, DFT techniques have become a standard characterization tool, covering applications such as laser development, ultrafast microscopy, spectroscopy, or velocimetry. − …”

Section: Introductionmentioning

confidence: 99%

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Single-Photon Level Dispersive Fourier Transform: Ultrasensitive Characterization of Noise-Driven Nonlinear Dynamics

Sader,

Bose,

Kashi

et al. 2023

ACS Photonics

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Dispersive Fourier transform is a characterization technique that allows directly extracting an optical spectrum from a time domain signal, thus providing access to real-time characterization of the signal spectrum. However, these techniques suffer from sensitivity and dynamic range limitations, hampering their use for special applications in, e.g., high-contrast characterizations and sensing. Here, we report on a novel approach to dispersive Fourier transform-based characterization using single-photon detectors. In particular, we experimentally develop this approach by leveraging mutual information analysis for signal processing and hold a performance comparison with standard dispersive Fourier transform detection and statistical tools. We apply the comparison to the analysis of noise-driven nonlinear dynamics arising from wellknown modulation instability processes. We demonstrate that with this dispersive Fourier transform approach, mutual information metrics allow for successfully gaining insight into the fluctuations associated with modulation instability-induced spectral broadening, providing qualitatively similar signatures compared to ultrafast photodetector-based dispersive Fourier transform but with improved signal quality and spectral resolution (down to 53 pm). The technique presents an intrinsically unlimited dynamic range and is extremely sensitive, with a sensitivity reaching below the femtowatt (typically 4 orders of magnitude better than ultrafast dispersive Fourier transform detection). We show that this method can not only be implemented to gain insight into noise-driven (spontaneous) frequency conversion processes but also be leveraged to characterize incoherent dynamics seeded by weak coherent optical fields.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Single-Photon Level Dispersive Fourier Transform: Ultrasensitive Characterization of Noise-Driven Nonlinear Dynamics

Sader,

Bose,

Kashi

et al. 2023

ACS Photonics

Self Cite

View full text Add to dashboard Cite

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“…Moreover, the complex motion dynamics in MLFL, i.e., soliton molecules, soliton breathing, soliton bifurcation, soliton explosion, soliton trapping, and optical rogue wave were comprehensively discussed. More information about the underlying physics of the TS-DFT technique and its applications in MLFL dynamics [22,23] and other fields of optical physics [24][25][26][27] was previously reviewed. In comparison to the reviews of Wang et al and Huang et al [22,23] which were officially available on January 2020 and June 2020, respec-tively, we provide a more recent review of the progress and development in the diversified dynamics of the MLFL probed by using the TS-DFT technique.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Real‐Time Investigation of Ultrafast Dynamics through Time‐Stretched Dispersive Fourier Transform in Mode‐Locked Fiber Lasers

Lau

Cui

Liu

et al. 2023

Laser & Photonics Reviews

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Real‐time investigation in mode‐locked fiber lasers (MLFLs) is important to understand the ultrafast dynamics before, during, and after the formation of stable laser pulses. However, the experimental measurement of these dynamics is restricted by the resolution of conventional oscilloscopes. The development of a time‐stretched dispersive Fourier transform (TS‐DFT) technique provides the shot‐to‐shot measurement of mapping the spectral information of an ultrashort optical pulse into time‐stretched waveform in the MLFL. Here, the recent progress and development of various fascinating dynamics in the MLFL, including the study of birth, evolution, and extinction process in MLFL, different types of MLFL, and complex motion dynamics in MLFL, have been reviewed. The issues and challenges encountered in this research area are discussed and several recommendations are suggested to overcome these problems. The integration of the TS‐DFT technique is expected to provide deeper insight into the real‐time investigation of various dynamics in the MLFL by displaying fascinating phenomenon and revealing unexplored trajectories.

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“…Photonic time stretch is a real-time data acquisition technology [20,21] that has spawned a vast number of scientific and technological advancements [22,23]. This class of real-time measurement systems have been exceptionally successful in capturing single shot phenomena such as optical rogue waves [24], relativistic electron dynamics [25][26][27], chemical transients in combustion [28], shock waves [29], internal dynamics of soliton molecules [30], birth of laser mode-locking [31], and single-shot spectroscopy of chemical bonds [32,33].…”

Section: Introductionmentioning

confidence: 99%

Differential and phase-diverse electrooptic modulators

Ordouie

Jiang

Zhou

et al. 2023

Preprint

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Bandwidth and noise are fundamental considerations in all communication and signal processing systems. The group-velocity dispersion of optical fibers creates nulls in their frequency response, limiting the bandwidth and hence the temporal response of communication and signal processing systems. Intensity noise is often the dominant optical noise source for semiconductor lasers in data communication. In this paper, we propose and demonstrate a new class of electrooptic modulators that is capable of mitigating both of these problems. Fabricated in thin-film lithium niobate, the modulator simultaneously achieves phase diversity and differential operations. The former compensates for the dispersion penalty of the fiber, and the latter overcomes the intensity noise and other common mode fluctuations. Applications of the so-called four-phase electrooptic modulator in time-stretch data acquisition and in optical communication are demonstrated.

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Recent advances on time-stretch dispersive Fourier transform and its applications

Cited by 25 publications

References 117 publications

Single-Photon Level Dispersive Fourier Transform: Ultrasensitive Characterization of Noise-Driven Nonlinear Dynamics

Single-Photon Level Dispersive Fourier Transform: Ultrasensitive Characterization of Noise-Driven Nonlinear Dynamics

Real‐Time Investigation of Ultrafast Dynamics through Time‐Stretched Dispersive Fourier Transform in Mode‐Locked Fiber Lasers

Differential and phase-diverse electrooptic modulators

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