Genetic algorithm-based control of birefringent filtering for self-tuning, self-pulsing fiber lasers

R. I. Woodward, E. J. R. Kelleher: Genetic algorithm-based control of birefringent filtering for self-tuning, self-pulsing fiber lasers. In: Optics Letters, 42 (15), pp. 2952, 2017, (Editors' Pick).

Abstract

Polarization-based filtering in fiber lasers is well-known to enable spectral tunability and a wide range of dynamical operating states. This effect is rarely exploited in practical systems, however, because optimization of cavity parameters is non-trivial and evolves due to environmental sensitivity. Here, we report a genetic algorithm-based approach, utilizing electronic control of the cavity transfer function, to autonomously achieve broad wavelength tuning and the generation of Q-switched pulses with variable repetition rate and duration. The practicalities and limitations of simultaneous spectral and temporal self-tuning from a simple fiber laser are discussed, paving the way to on-demand laser properties through algorithmic control and machine learning schemes.

BibTeX (Download)

@article{Woodward_2017_ga,
title = {Genetic algorithm-based control of birefringent filtering for self-tuning, self-pulsing fiber lasers},
author = {R. I. Woodward and E. J. R. Kelleher},
url = {http://www.riwoodward.com/publication_files/woodward_2017_ga.pdf},
doi = {10.1364/OL.42.002952},
year  = {2017},
date = {2017-02-21},
journal = {Optics Letters},
volume = {42},
number = {15},
pages = {2952},
abstract = {Polarization-based filtering in fiber lasers is well-known to enable spectral tunability and a wide range of dynamical operating states. This effect is rarely exploited in practical systems, however, because optimization of cavity parameters is non-trivial and evolves due to environmental sensitivity. Here, we report a genetic algorithm-based approach, utilizing electronic control of the cavity transfer function, to autonomously achieve broad wavelength tuning and the generation of Q-switched pulses with variable repetition rate and duration. The practicalities and limitations of simultaneous spectral and temporal self-tuning from a simple fiber laser are discussed, paving the way to on-demand laser properties through algorithmic control and machine learning schemes.},
note = {Editors' Pick},
keywords = {fibre laser},
pubstate = {published},
tppubtype = {article}
}