Academic Journal
Predicting nonlinear reshaping of periodic signals in optical fibre with a neural network
| العنوان: | Predicting nonlinear reshaping of periodic signals in optical fibre with a neural network |
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| المؤلفون: | Boscolo, Sonia, Dudley, J.M., Finot, Christophe |
| المساهمون: | Aston Institute of Photonic Technologies (AIPT), Aston University Birmingham, 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), Laboratoire Interdisciplinaire Carnot de Bourgogne (ICB), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-Université Bourgogne Franche-Comté COMUE (UBFC)-Centre National de la Recherche Scientifique (CNRS), CNRS MITI interdisciplinary programs, Institut Universitaire de France, ANR-20-CE30-0004,OPTIMAL,Optimisation des sources optiques ultra-rapides à large bande à l'aide de l'apprentissage automatique(2020), ANR-17-EURE-0002,EIPHI,Ingénierie et Innovation par les sciences physiques, les savoir-faire technologiques et l'interdisciplinarité(2017), ANR-15-IDEX-0003,BFC,ISITE " BFC(2015) |
| المصدر: | ISSN: 0030-4018. |
| بيانات النشر: | CCSD Elsevier |
| سنة النشر: | 2023 |
| المجموعة: | Université de Bourgogne (UB): HAL |
| مصطلحات موضوعية: | pulse shaping, neural networks, nonlinear propagation, optical fibres, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics] |
| الوصف: | International audience ; We deploy a supervised machine-learning model based on a neural network to predict the temporal and spectral reshaping of a simple sinusoidal modulation into a pulse train having a comb structure in the frequency domain, which occurs upon nonlinear propagation in an optical fibre. Both normal and anomalous second-order dispersion regimes of the fibre are studied, and the speed of the neural network is leveraged to probe the space of input parameters for the generation of custom combs or the occurrence of significant temporal or spectral focusing. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| Relation: | info:eu-repo/semantics/altIdentifier/arxiv/2303.09133; ARXIV: 2303.09133 |
| DOI: | 10.1016/j.optcom.2023.129563 |
| الاتاحة: | https://hal.science/hal-04031220 https://hal.science/hal-04031220v1/document https://hal.science/hal-04031220v1/file/Finot%20-%20Neural%20network.pdf https://doi.org/10.1016/j.optcom.2023.129563 |
| Rights: | info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.6DC20F12 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1016/j.optcom.2023.129563 |
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