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Spatial analysis of femtosecond laser-generated plasma using principal component analysis

Spatial analysis of femtosecond laser-generated plasma using principal component analysis
Spatial analysis of femtosecond laser-generated plasma using principal component analysis
The appearance of plasma generated during femtosecond laser machining depends strongly on the features present on the sample before machining occurs. However, the complexity of femtosecond light-matter interaction means that development of a theoretical understanding of plasma generation is challenging. In this work, principal component analysis is applied to experimental images of plasma generated during femtosecond laser machining of silicon to calculate the orthogonal spatial patterns of the plasma variance (plasma modes), and to identify which sample variance (sample modes) are associated with these plasma modes. The results demonstrate the potential of principal component analysis for data-driven scientific discovery in the field of femtosecond light-matter interactions.
2045-2322
Grant-Jacob, James A.
c5d144d8-3c43-4195-8e80-edd96bfda91b
Zervas, Michalis
1840a474-dd50-4a55-ab74-6f086aa3f701
Mills, Ben
05f1886e-96ef-420f-b856-4115f4ab36d0
Grant-Jacob, James A.
c5d144d8-3c43-4195-8e80-edd96bfda91b
Zervas, Michalis
1840a474-dd50-4a55-ab74-6f086aa3f701
Mills, Ben
05f1886e-96ef-420f-b856-4115f4ab36d0

Grant-Jacob, James A., Zervas, Michalis and Mills, Ben (2024) Spatial analysis of femtosecond laser-generated plasma using principal component analysis. Scientific Reports, 14, [30301]. (doi:10.1038/s41598-024-81389-9).

Record type: Article

Abstract

The appearance of plasma generated during femtosecond laser machining depends strongly on the features present on the sample before machining occurs. However, the complexity of femtosecond light-matter interaction means that development of a theoretical understanding of plasma generation is challenging. In this work, principal component analysis is applied to experimental images of plasma generated during femtosecond laser machining of silicon to calculate the orthogonal spatial patterns of the plasma variance (plasma modes), and to identify which sample variance (sample modes) are associated with these plasma modes. The results demonstrate the potential of principal component analysis for data-driven scientific discovery in the field of femtosecond light-matter interactions.

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More information

Submitted date: 6 August 2024
Accepted/In Press date: 26 November 2024
Published date: 5 December 2024

Identifiers

Local EPrints ID: 509628
URI: http://eprints.soton.ac.uk/id/eprint/509628
DOI: doi:10.1038/s41598-024-81389-9
ISSN: 2045-2322
PURE UUID: 61a38c5b-74a7-4448-801d-6c784db0925f
ORCID for James A. Grant-Jacob: ORCID iD orcid.org/0000-0002-4270-4247
ORCID for Michalis Zervas: ORCID iD orcid.org/0000-0002-0651-4059
ORCID for Ben Mills: ORCID iD orcid.org/0000-0002-1784-1012

Catalogue record

Date deposited: 26 Feb 2026 18:05
Last modified: 27 Feb 2026 02:44

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Contributors

Author: James A. Grant-Jacob ORCID iD
Author: Michalis Zervas ORCID iD
Author: Ben Mills ORCID iD

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