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Stabilisation of transverse mode purity in a radially polarised Ho:YAG laser using machine learning

Stabilisation of transverse mode purity in a radially polarised Ho:YAG laser using machine learning
Stabilisation of transverse mode purity in a radially polarised Ho:YAG laser using machine learning
Dataset for the article 'Stabilisation of transverse mode purity in a radially polarised Ho:YAG laser using machine learning' in Applied Physics B This dataset contains the data used in the generation of Figures 3, 6 and 8 in the manuscript. The figures are as follows: Fig. 3. Beam propagation factor (M2) of the radially polarised Ho:YAG laser at 28 W of incident pump power, indicating a high quality LG01 mode. Inset: emission spectrum. Fig. 6. Variation of the radial polarisation purity as a function of incident pump power when the machine learning stabilisation is, or is not, being used. Fig. 8. Output power curves for the Ho:YAG laser with either no machine learning stabilisation, radial LG01 stabilisation or fundamental HG00 stabilisation.
University of Southampton
Jefferson-Brain, Thomas
8bce2a02-37a4-4277-a8cb-0c40bde57837
Barber, Matthew, James
5682d70c-71a4-4875-a714-55704b8ac20c
Coupe, Azaria
a94ae3f1-b6ad-4f69-8765-335aedb780e9
Clarkson, William
3b060f63-a303-4fa5-ad50-95f166df1ba2
Shardlow, Peter
9ca17301-8ae7-4307-8bb9-371df461520c
Jefferson-Brain, Thomas
8bce2a02-37a4-4277-a8cb-0c40bde57837
Barber, Matthew, James
5682d70c-71a4-4875-a714-55704b8ac20c
Coupe, Azaria
a94ae3f1-b6ad-4f69-8765-335aedb780e9
Clarkson, William
3b060f63-a303-4fa5-ad50-95f166df1ba2
Shardlow, Peter
9ca17301-8ae7-4307-8bb9-371df461520c

Jefferson-Brain, Thomas, Barber, Matthew, James, Coupe, Azaria, Clarkson, William and Shardlow, Peter (2022) Stabilisation of transverse mode purity in a radially polarised Ho:YAG laser using machine learning. University of Southampton doi:10.5258/SOTON/D2142 [Dataset]

Record type: Dataset

Abstract

Dataset for the article 'Stabilisation of transverse mode purity in a radially polarised Ho:YAG laser using machine learning' in Applied Physics B This dataset contains the data used in the generation of Figures 3, 6 and 8 in the manuscript. The figures are as follows: Fig. 3. Beam propagation factor (M2) of the radially polarised Ho:YAG laser at 28 W of incident pump power, indicating a high quality LG01 mode. Inset: emission spectrum. Fig. 6. Variation of the radial polarisation purity as a function of incident pump power when the machine learning stabilisation is, or is not, being used. Fig. 8. Output power curves for the Ho:YAG laser with either no machine learning stabilisation, radial LG01 stabilisation or fundamental HG00 stabilisation.

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Stabilisation_readme.txt - Text
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Stabilisation_dataset.xlsx - Dataset
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Published date: 30 May 2022
Related URLs:
Learn more about Zepler Institute for Photonics and Nanoelectronics research Learn more about School of Physics and Astronomy research Learn more about Zepler Institute for Photonics and Nanoelectronics research

Identifiers

Local EPrints ID: 457525
URI: http://eprints.soton.ac.uk/id/eprint/457525
DOI: doi:10.5258/SOTON/D2142
PURE UUID: 32385cb5-b82a-490e-be4a-83c82036db95
ORCID for Thomas Jefferson-Brain: ORCID iD orcid.org/0000-0002-8838-5640
ORCID for Matthew, James Barber: ORCID iD orcid.org/0000-0001-9768-6421
ORCID for Peter Shardlow: ORCID iD orcid.org/0000-0003-0459-0581

Catalogue record

Date deposited: 10 Jun 2022 16:33
Last modified: 06 May 2023 01:58

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Contributors

Creator: Thomas Jefferson-Brain ORCID iD
Creator: Matthew, James Barber ORCID iD
Creator: Azaria Coupe
Creator: William Clarkson
Creator: Peter Shardlow ORCID iD

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