147 citations · 306 across the 7 of their papers we have counts for
7 papers
Convolutional neural network for self-mixing interferometric displacement sensing
Stéphane Barland, François Gustave
Self mixing interferometry is a well established interferometric measurement technique. In spite of the robustness and simplicity of the concept, interpreting the self-mixing signa…
Realization and simulation of high power holmium doped fiber laser for long-range transmission
Julien Le Gouët, François Gustave, Pierre Bourdon +3
We report on our realization of a high power holmium doped fiber laser, together with the validation of our numerical simulation of the laser. We first present the rare absolute me…
Extreme events in forced oscillatory media in 0, 1 and 2 dimensions
S. Barland, M. Brambilla, L. Columbo +14
One of the open questions in the field of optical rogue waves is the relevance of the number of spatial dimensions in which waves propagate. Here we review recent results on extrem…
Extreme events induced by collisions in a forced semiconductor laser
Pierre Walczak, Cristina Rimoldi, Francois Gustave +5
We report on the experimental study of an optically driven multimode semiconductor laser with 1~m cavity length. We observed a spatiotemporal regime where real time measurements re…
Optical Random Riemann Waves in Integrable Turbulence
Stephane Randoux, Francois Gustave, Pierre Suret +1
We examine integrable turbulence (IT) in the framework of the defocusing cubic one-dimensional nonlinear Schrödinger equation. This is done theoretically and experimentally, by rea…
Universal Peregrine soliton structure in nonlinear pulse compression in optical fiber
A. Tikan, C. Billet, G. El +8
We present experimental evidence of the universal emergence of the Peregrine soliton predicted in the semi-classical (zero-dispersion) limit of the focusing nonlinear Schrödinger e…
Quantifying sudden changes in dynamical systems using symbolic networks
Cristina Masoller, Yanhua Hong, Sarah Ayad +5
We characterise the evolution of a dynamical system by combining two well-known complex systems' tools, namely, symbolic ordinal analysis and networks. From the ordinal representat…