@inproceedings{cf5c10d5132b48b790441b2051cc2c8d,
title = "Machine-Learning-Optimized OAM Excitation in Optical Fibers",
abstract = "We develop a machine learning algorithm for in situ control and optimization of OAM excitation in optical fibers, ensuring high-purity and low-loss coupling. The algorithm can correct intentional misalignments, as well as compensate alignment drift.",
keywords = "Couplings, Electro-optical waveguides, Fiber lasers, Laser excitation, Lasers and electrooptics, Machine learning algorithms, Optimization",
author = "Jeffrey Demas and Mathilde Hary and Go{\"e}ry Genty and Siddharth Ramachandran",
note = "Publisher Copyright: CLEO 2024 {\textcopyright} Optica Publishing Group 2024 {\textcopyright} 2024 The Author(s); Conference on Lasers and Electro-Optics, CLEO ; Conference date: 05-05-2024 Through 10-05-2024",
year = "2024",
doi = "10.1364/CLEO_SI.2024.SM2E.7",
language = "English",
series = "Technical Digest Series",
publisher = "Optica Publishing Group",
booktitle = "Proceedings: CLEO 2024",
}