Nonlinear sculpturing of optical pulses with normally dispersive fiber-based devices

Christophe Finot, Ilya Gukov, Kamal Hammani, Sonia Boscolo

Research output: Contribution to journalArticle

Abstract

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.
Original languageEnglish
Pages (from-to)306-312
JournalOptical Fiber Technology
Volume45
Early online date23 Aug 2018
DOIs
Publication statusPublished - Nov 2018

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Laser pulses
Pulse shaping
fibers
Fibers
pulses
Learning systems
machine learning
optimization
intersections
propagation

Keywords

  • Nonlinear shaping, Machine learning, Nonlinear fiber optics

Cite this

Finot, Christophe ; Gukov, Ilya ; Hammani, Kamal ; Boscolo, Sonia. / Nonlinear sculpturing of optical pulses with normally dispersive fiber-based devices. In: Optical Fiber Technology. 2018 ; Vol. 45. pp. 306-312.
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Nonlinear sculpturing of optical pulses with normally dispersive fiber-based devices. / Finot, Christophe; Gukov, Ilya; Hammani, Kamal; Boscolo, Sonia.

In: Optical Fiber Technology, Vol. 45, 11.2018, p. 306-312.

Research output: Contribution to journalArticle

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