Search results for "Nonlinear fiber optics"

showing 2 items of 12 documents

Multidimensional shaping of spatiotemporal waves in multimode nonlinear fibers

2019

Recent experiments have shown that nonlinear wave propagation in multimode optical fibers leads to complex spatio-temporal phenomena. In this talk, we introduce new approaches for the control and optimization of nonlinear beam reshaping in the spatial, temporal and spectral dimensions. The first approach applies to spatial beam self-cleaning the technique of transverse wavefront shaping, which permits to launch an optimized input mode combination, that results in the stable generation of a whole nonlinear mode alphabet at the fiber output. The second approach introduces a longitudinal tapering of the core diameter of multimode active and passive fibers, which permits to generate ultra-wideb…

[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics]multimode optical fibersOptical fiberPhysics::OpticsTapering02 engineering and technologyTransverse effectsSupercontinuum generation01 natural scienceslaw.invention010309 opticsOpticsKerr effectlawNonlinear fiber optics0103 physical sciencessolitonsComputingMilieux_MISCELLANEOUSPhysicsWavefront[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Multi-mode optical fiberbusiness.industrynonlinear opticsFiber amplifiersmultimode optical fibers; fiber lasers; nonlinear optics; solitons021001 nanoscience & nanotechnologyfiber lasersSupercontinuumNonlinear systemPhysics::Accelerator PhysicsFiber amplifiers; Kerr effect; Nonlinear fiber optics; Supercontinuum generation; Transverse effectsLaser beam quality0210 nano-technologybusinessBeam (structure)
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Nonlinear sculpturing of optical pulses with normally dispersive fiber-based devices

2018

International audience; We present a general method to determine the parameters of nonlinear pulse shaping systems based on pulse propagation in a normally dispersive fiber that are required to achieve the generation of pulses with various specified temporal properties. The nonlinear shaping process is reduced to a numerical optimization problem over a three-dimensional space, where the intersections of different surfaces provide the means to quickly identify the sets of parameters of interest. We also show that the implementation of a machine-learning strategy can efficiently address the multi-parameter optimization problem being studied.

[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Optimization problemGeneral methodComputer scienceFiber (mathematics)AcousticsProcess (computing)02 engineering and technologynonlinear fiber opticsSpace (mathematics)01 natural sciencesPulse shapingAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsPulse propagation010309 opticsNonlinear system020210 optoelectronics & photonicsmachine learningControl and Systems Engineering0103 physical sciences0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringInstrumentationNonlinear shaping
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