Machine learning optimization of supercontinuum properties towards multiphoton microscopy
Résumé
We implement machine learning to optimize spectro-temporal properties of supercontinuum generation during nonlinear fiber propagation. In particular, we numerically study how the suitable adjustment of femtosecond pulse patterns can be leveraged to maximize the output spectral intensities and temporal waveforms at wavelengths relevant for multi-photon imaging.
Origine : Fichiers produits par l'(les) auteur(s)