Exploring Fresnel diffraction at a straight edge with a neural network


We describe a research project carried out with a group of undergraduate physics students and aimed at exploring the use of a neural network to study a classical problem in wave optics whose analytical solution is well known: the diffraction of light by the straight edge of an opaque semi-infinite screen. Through this exposure to machine learning, the students were able to appreciate the basic steps involved in a machine-learning process.

Publication DOI: https://doi.org/10.1088/1361-6404/ac5bec
Divisions: College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
Additional Information: © 2022 European Physical Society. This is the Accepted Manuscript version of an article accepted for publication in European Journal of Physics.  IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it.  The Version of Record is available online at https://doi.org/10.1088/1361-6404/ac5bec
Uncontrolled Keywords: Fresnel diffraction,machine learning,neural network,Physics and Astronomy(all)
Publication ISSN: 1361-6404
Last Modified: 19 Jun 2024 07:20
Date Deposited: 07 Apr 2022 11:25
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Related URLs: https://iopscie ... 361-6404/ac5bec (Publisher URL)
https://arxiv.o ... /abs/2201.03431 (Author URL)
PURE Output Type: Article
Published Date: 2022-04-05
Accepted Date: 2022-03-09
Authors: Finot, Christophe
Boscolo, Sonia (ORCID Profile 0000-0001-5388-2893)

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