ArticleNature communications2017
Spectral correlations in a random distributed feedback fibre laser.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Shannon Entropy and Lévy Statistics for Machine Learning-Assisted Spectral Sensing in Random Fiber Lasers With Magnetic Core-Shell Nanoscatterers.Nanophotonics (Berlin, Germany) · 2026Article
- Deep Learning Super-Resolution Spectrometer Based on Fiber Random Laser With Ultrahigh Spectral Purity.Nanophotonics (Berlin, Germany) · 2026Article
- Single-Photon Level Dispersive Fourier Transform: Ultrasensitive Characterization of Noise-Driven Nonlinear Dynamics.ACS photonics · 2023Article
- A random optical parametric oscillator.Nature communications · 2023Article
- Analysis of laser radiation using the Nonlinear Fourier transform.Nature communications · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Random distributed feedback fibre lasers belong to the class of random lasers, where the feedback is provided by amplified Rayleigh scattering on sub-micron refractive index inhomogenities randomly distributed over the fibre length. Despite the elastic nature of Rayleigh scattering, the feedback mechanism has been insofar deemed incoherent, which corresponds to the commonly observed smooth generation spectra. Here, using a real-time spectral measurement technique based on a scanning Fabry-Pérot interferometer, we observe long-living narrowband components in the random fibre laser's spectrum. Statistical analysis of the ∼10
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Registered trials
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