Towards the Use of Machine Learning in Setups for OAM Mode Excitation in Optical Fibers

Antonio Astorino, Jesper Glückstad, Karsten Rottwitt

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Machine Learning algorithms driving spatial light modulators may help achieve higher purity in excited orbital angular momentum modes in fibers. Some preparatory steps are investigated to potentially enable effective Machine Learning in such a configuration.

Original languageEnglish
Title of host publicationFrontiers in Optics 2018
PublisherOptical Society of America OSA
Publication date2018
ISBN (Print)978-1-943580-46-0
Publication statusPublished - 2018
EventFrontiers in Optics 2018 - Washignton, United States
Duration: 16 Sep 201820 Sep 2018

Conference

ConferenceFrontiers in Optics 2018
CountryUnited States
CityWashignton
Period16/09/201820/09/2018

Bibliographical note

From the session: Poster Session I (JTu2A)

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