6533b854fe1ef96bd12af48b
RESEARCH PRODUCT
Artificial neural networks for nonlinear pulse shaping in optical fibers
Christophe FinotSonia Boscolosubject
Materials scienceOptical fiberFOS: Physical sciencesPhysics::Optics02 engineering and technology01 natural scienceslaw.invention010309 optics020210 optoelectronics & photonicsOpticslaw0103 physical sciencesDispersion (optics)0202 electrical engineering electronic engineering information engineeringFiberElectrical and Electronic EngineeringRadiant intensity[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Artificial neural networkbusiness.industryneural networksPulse shapingAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsPulse (physics)Nonlinear systemnonlinear propagationbusinesspulse shapingOptics (physics.optics)Physics - Opticsdescription
International audience; We use a supervised machine-learning model based on a neural network to predict the temporal and spectral intensity profiles of the pulses that form upon nonlinear propagation in optical fibers with both normal and anomalous second-order dispersion. We also show that the model is able to retrieve the parameters of the nonlinear propagation from the pulses observed at the output of the fiber. Various initial pulse shapes as well as initially chirped pulses are investigated.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2020-11-01 |