Projects per year
Abstract
Laser speckle is generated by the multiple interference of light through a disordered medium. Here we study the premise that the speckle pattern retains information about the polarisation state of the incident field. We analytically verify that a linear relation exists between the Stokes vector of the light and the resulting speckle pattern. As a result, the polarisation state of a beam can be measured from the speckle pattern using a transmission matrix approach. We perform a quantitative analysis of the accuracy of the transmission matrix method to measure randomly time-varying polarisation states. In experiment, we find that the Stokes parameters of light from a diode laser can be retrieved with an uncertainty of 0.05 using speckle images of 150$\times$150 pixels and 17 training states. We show both analytically and in experiment that this approach may be extended to the case of more than one laser field, demonstrating the measurement of the Stokes parameters of two laser beams simultaneously from a single speckle pattern and achieving the same uncertainty of 0.05.
Original language | English |
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Pages (from-to) | 1302-1313 |
Number of pages | 12 |
Journal | OSA Continuum |
Volume | 3 |
Issue number | 5 |
Early online date | 11 May 2020 |
DOIs | |
Publication status | Published - 15 May 2020 |
Keywords
- Speckle
- Polarisation
- Stokes parameters
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Dive into the research topics of 'Speckle-based determination of the polarisation state of single and multiple laser beams'. Together they form a unique fingerprint.Projects
- 2 Finished
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Making the most of interference: Making the most of interference: new metrology application of laser speckle
Dholakia, K. (PI)
1/09/17 → 30/11/20
Project: Standard
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Resonant and shaped photonics for under: Resonant and shaped photonics for understanding the physical and biomedical world
Gunn-Moore, F. J. (PI)
1/08/17 → 31/07/22
Project: Standard
Datasets
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Data underpinning: Speckle-based determination of the polarisation state of single and multiple laser beams
Facchin, M. (Creator), Bruce, G. D. (Creator) & Dholakia, K. (Creator), University of St Andrews, 3 Apr 2020
DOI: 10.17630/386f6c3f-df00-4415-a24b-33fd8494e483, https://doi.org/10.17630/sta/419
Dataset
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