Projects per year
Abstract
Phase singularities are dislocations widely studied in optical fields as well as in other areas of physics. With experiment and theory we show that the vectorial nature of light affects the spatial distribution of phase singularities in random light fields. While in scalar random waves phase singularities exhibit spatial distributions reminiscent of particles in isotropic liquids, in vector fields their distribution for the different vector components becomes anisotropic due to the direct relation
between propagation and field direction. By incorporating this relation in the theory for scalar fields by Berry and Dennis, we quantitatively describe our experiments.
between propagation and field direction. By incorporating this relation in the theory for scalar fields by Berry and Dennis, we quantitatively describe our experiments.
Original language | English |
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Article number | 093901 |
Number of pages | 5 |
Journal | Physical Review Letters |
Volume | 117 |
Issue number | 9 |
Early online date | 23 Aug 2016 |
DOIs | |
Publication status | Published - 26 Aug 2016 |
Fingerprint
Dive into the research topics of 'Spatial distribution of phase singularities in optical random vector waves'. Together they form a unique fingerprint.Projects
- 2 Finished
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Equipment Account: Characterisation and Manipulation of Advanced Functional Materials and their Interfaces at the Nanoscale
Samuel, I. D. W. (PI)
1/10/13 → 30/09/23
Project: Standard
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Upgrade Small Equipment Base: Small items of research equipment at the University of St Andrews. Supporting a new generation of physical sciences research
Woollins, J. D. (PI)
1/11/12 → 31/03/13
Project: Standard
Profiles
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Andrea Di Falco
- School of Physics and Astronomy - Director of Impact, Professor
- Centre for Biophotonics
Person: Academic
Datasets
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Data underpinning - Spatial distribution of phase singularities in optical random vector waves
De Angelis, L. (Creator), Alpeggiani, F. (Creator), Di Falco, A. (Creator) & Kuipers, L. (Creator), University of St Andrews, 2 Aug 2018
DOI: 10.17630/c0539d3c-9c24-4446-bfff-9e6c04a1f7de
Dataset
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