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Measuring laser beams with a neural network

Abstract:

A deep neural network (NN) is used to simultaneously detect laser beams in images and measure their center coordinates, radii, and angular orientations. A dataset of images containing simulated laser beams and a dataset of images with experimental laser beams—generated using a spatial light modulator—are used to train and evaluate the NN. After training on the simulated dataset the NN achieves beam parameter root mean square errors (RMSEs) of less than 3.4% on the experimental dataset. Subseq...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1364/AO.443531

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atomic & Laser Physics
Oxford college:
Worcester College
Role:
Author
ORCID:
0000-0002-6881-5690
Publisher:
Optica Publishing Group
Journal:
Applied Optics More from this journal
Volume:
61
Issue:
8
Pages:
1924-1929
Publication date:
2022-03-02
Acceptance date:
2022-02-04
DOI:
EISSN:
2155-3165
ISSN:
1559-128X
Pmid:
35297883
Language:
English
Keywords:
Pubs id:
1244087
Local pid:
pubs:1244087
Deposit date:
2022-04-22

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