| Title: |
Machine learning control of nonlinear fiber supercontinuum generation for application in molecular spectroscopy |
| Authors: |
Hary, Mathilde; Salmela, Lauri; Dudley, John Michael; Genty, Goëry |
| Contributors: |
Tampere University of Technology Tampere (TUT); Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST); Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC); Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC) |
| Source: |
Advanced Photonics Congress ; https://hal.science/hal-04298149 ; Advanced Photonics Congress, Jul 2022, Maastricht, Netherlands |
| Publisher Information: |
CCSD |
| Publication Year: |
2022 |
| Collection: |
Université de Franche-Comté (UFC): HAL |
| Subject Terms: |
[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics] |
| Subject Geographic: |
Maastricht; Netherlands |
| Description: |
International audience ; We combine a programmable spectral filter and machine learning via a genetic algorithm to optimize nonlinear fiber propagation dynamics to generate an on-demand target spectrum. |
| Document Type: |
conference object |
| Language: |
English |
| Availability: |
https://hal.science/hal-04298149 |
| Accession Number: |
edsbas.F6A5D3B8 |
| Database: |
BASE |