Towards 'smart lasers': self-optimisation of an ultrafast pulse source using a genetic algorithm

R. I. Woodward*, Edmund J. R. Kelleher

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

55 Citations (Scopus)
7 Downloads (Pure)

Abstract

Short-pulse fibre lasers are a complex dynamical system possessing a broad space of operating states that can be accessed through control of cavity parameters. Determination of target regimes is a multi-parameter global optimisation problem. Here, we report the implementation of a genetic algorithm to intelligently locate optimum parameters for stable single-pulse mode-locking in a Figure-8 fibre laser, and fully automate the system turn-on procedure. Stable ultrashort pulses are repeatably achieved by employing a compound fitness function that monitors both temporal and spectral output properties of the laser. Our method of encoding photonics expertise into an algorithm and applying machine-learning principles paves the way to self-optimising 'smart' optical technologies.

Original languageEnglish
Article number37616
Pages (from-to)1-9
Number of pages9
JournalScientific Reports
Volume6
DOIs
Publication statusPublished - 21 Nov 2016
Externally publishedYes

Bibliographical note

Copyright the Author(s) 2016. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • LOCKED FIBER LASER
  • MODE-LOCKING
  • LOOP MIRROR
  • EVOLUTIONARY ALGORITHM
  • SATURABLE ABSORBERS
  • NANOTUBE
  • GRAPHENE

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