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Modal characterization using principal component analysis : application to Bessel, higher-order Gaussian beams and their superposition

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srep01422.pdf (5.258Mb)
Date
12/03/2013
Author
Mourka, A.
Mazilu, M.
Wright, E. M.
Dholakia, K.
Keywords
Orbital angular-momentum
Light-beams
Diffraction
Modes
Decomposition
Information
Intensity
Systems
Planes
Phase
Q Science
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Abstract
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.
Citation
Mourka , A , Mazilu , M , Wright , E M & Dholakia , K 2013 , ' Modal characterization using principal component analysis : application to Bessel, higher-order Gaussian beams and their superposition ' , Scientific Reports , vol. 3 , 1422 . https://doi.org/10.1038/srep01422
Publication
Scientific Reports
Status
Peer reviewed
DOI
https://doi.org/10.1038/srep01422
ISSN
2045-2322
Type
Journal article
Rights
© 2013 the authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.
Description
This work was funded by the EPSRC.
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/3893

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