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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_dataset.xlsx - Dataset
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Published date: 30 May 2022

Identifiers

Local EPrints ID: 457525
URI: http://eprints.soton.ac.uk/id/eprint/457525
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: 11 Jun 2022 01:51

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Contributors

Creator: Thomas Jefferson-Brain ORCID iD
Creator: Azaria Coupe
Creator: William Clarkson
Creator: Peter Shardlow ORCID iD

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