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Predicting nonlinear reshaping of periodic signals in optical fibre with a neural network
- Source :
- Optics Communications. 542:129563
- Publication Year :
- 2023
- Publisher :
- Elsevier BV, 2023.
-
Abstract
- We deploy a supervised machine-learning model based on a neural network to predict the temporal and spectral reshaping of a simple sinusoidal modulation into a pulse train having a comb structure in the frequency domain, which occurs upon nonlinear propagation in an optical fibre. Both normal and anomalous second-order dispersion regimes of the fibre are studied, and the speed of the neural network is leveraged to probe the space of input parameters for the generation of custom combs or the occurrence of significant temporal or spectral focusing.
- Subjects :
- FOS: Computer and information sciences
Computer Science - Machine Learning
FOS: Physical sciences
Electrical and Electronic Engineering
Physical and Theoretical Chemistry
Atomic and Molecular Physics, and Optics
Physics - Optics
Optics (physics.optics)
Machine Learning (cs.LG)
Electronic, Optical and Magnetic Materials
Subjects
Details
- ISSN :
- 00304018
- Volume :
- 542
- Database :
- OpenAIRE
- Journal :
- Optics Communications
- Accession number :
- edsair.doi.dedup.....db9a19a17666ad3a8e6f0ab439a22495