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Modal Characterization using Principal Component Analysis: application to Bessel, higher-order Gaussian beams and their superposition

The modal characterization of various families of beams is a topic of current interest. We recently reported a new method for the simultaneous determination of both the azimuthal and radial mode indices for light fields possessing orbital angular momentum. The method is based upon probing the far-fi...

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Detalles Bibliográficos
Autores principales: Mourka, A., Mazilu, M., Wright, E. M., Dholakia, K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3594757/
https://www.ncbi.nlm.nih.gov/pubmed/23478330
http://dx.doi.org/10.1038/srep01422
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author Mourka, A.
Mazilu, M.
Wright, E. M.
Dholakia, K.
author_facet Mourka, A.
Mazilu, M.
Wright, E. M.
Dholakia, K.
author_sort Mourka, A.
collection PubMed
description The modal characterization of various families of beams is a topic of current interest. We recently reported a new method for the simultaneous determination of both the azimuthal and radial mode indices for light fields possessing orbital angular momentum. The method is based upon probing the far-field diffraction pattern from a random aperture and using the recorded data as a ‘training set'. We then transform the observed data into uncorrelated variables using the principal component analysis (PCA) algorithm. Here, we show the generic nature of this approach for the simultaneous determination of the modal parameters of Hermite-Gaussian and Bessel beams. This reinforces the widespread applicability of this method for applications including information processing, spectroscopy and manipulation. Additionally, preliminary results demonstrate reliable decomposition of superpositions of Laguerre-Gaussians, yielding the intensities and relative phases of each constituent mode. Thus, this approach represents a powerful method for characterizing the optical multi-dimensional Hilbert space.
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spelling pubmed-35947572013-03-12 Modal Characterization using Principal Component Analysis: application to Bessel, higher-order Gaussian beams and their superposition Mourka, A. Mazilu, M. Wright, E. M. Dholakia, K. Sci Rep Article The modal characterization of various families of beams is a topic of current interest. We recently reported a new method for the simultaneous determination of both the azimuthal and radial mode indices for light fields possessing orbital angular momentum. The method is based upon probing the far-field diffraction pattern from a random aperture and using the recorded data as a ‘training set'. We then transform the observed data into uncorrelated variables using the principal component analysis (PCA) algorithm. Here, we show the generic nature of this approach for the simultaneous determination of the modal parameters of Hermite-Gaussian and Bessel beams. This reinforces the widespread applicability of this method for applications including information processing, spectroscopy and manipulation. Additionally, preliminary results demonstrate reliable decomposition of superpositions of Laguerre-Gaussians, yielding the intensities and relative phases of each constituent mode. Thus, this approach represents a powerful method for characterizing the optical multi-dimensional Hilbert space. Nature Publishing Group 2013-03-12 /pmc/articles/PMC3594757/ /pubmed/23478330 http://dx.doi.org/10.1038/srep01422 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Article
Mourka, A.
Mazilu, M.
Wright, E. M.
Dholakia, K.
Modal Characterization using Principal Component Analysis: application to Bessel, higher-order Gaussian beams and their superposition
title Modal Characterization using Principal Component Analysis: application to Bessel, higher-order Gaussian beams and their superposition
title_full Modal Characterization using Principal Component Analysis: application to Bessel, higher-order Gaussian beams and their superposition
title_fullStr Modal Characterization using Principal Component Analysis: application to Bessel, higher-order Gaussian beams and their superposition
title_full_unstemmed Modal Characterization using Principal Component Analysis: application to Bessel, higher-order Gaussian beams and their superposition
title_short Modal Characterization using Principal Component Analysis: application to Bessel, higher-order Gaussian beams and their superposition
title_sort modal characterization using principal component analysis: application to bessel, higher-order gaussian beams and their superposition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3594757/
https://www.ncbi.nlm.nih.gov/pubmed/23478330
http://dx.doi.org/10.1038/srep01422
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