English

Experimental demonstration of arbitrary Raman gain-profile designs using machine learning

Applied Physics 2019-10-25 v1
Authors: Uiara C. de Moura , Francesco Da Ros , A. Margareth Rosa Brusin , Andrea Carena , Darko Zibar
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Abstract

A machine learning framework for Raman amplifier design is experimentally tested. Performance in terms of maximum error over the gain profile is investigated for various fiber types and lengths, demonstrating highly-accurate designs.

Keywords

computational optimization

Cite

@article{arxiv.1910.10980,
  title  = {Experimental demonstration of arbitrary Raman gain-profile designs using machine learning},
  author = {Uiara C. de Moura and Francesco Da Ros and A. Margareth Rosa Brusin and Andrea Carena and Darko Zibar},
  journal= {arXiv preprint arXiv:1910.10980},
  year   = {2019}
}

Comments

3 pages, 2 figures, conference

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