Performance optimisation of dual-pump NALM fibre laser using machine learning inference

6533b828fe1ef96bd12883c4

RESEARCH PRODUCT

Performance optimisation of dual-pump NALM fibre laser using machine learning inference

Sergei Turitsyn Christophe Finot Sonia Boscolo Ilya Gukov

subject

[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics]Ring (mathematics)[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Materials science business.industry Inference 02 engineering and technology 021001 nanoscience & nanotechnology Laser 01 natural sciences Dual (category theory)law.invention 010309 optics Optics Predictive regression law Fiber laser 0103 physical sciences 0210 nano-technology business ComputingMilieux_MISCELLANEOUS

description

We apply predictive regression to find optimum operating regimes in a recently proposed layout of a flexible Figure-8 laser having two independently pumped segments of active fibre in its bidirectional ring.

year	journal	country	edition	language
2018-07-02

https://publications.aston.ac.uk/id/eprint/37112/1/np18_final.pdf

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