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The Raspberry Pi Auto-aligner: Machine Learning for Automated Alignment of Laser Beams [dataset] Open Access

We present a novel solution to automated beam alignment optimization. This device is based on a Raspberry Pi computer, stepper motors, commercial optomechanics and electronic devices, and the open-source machine learning algorithm M-LOOP. We provide schematic drawings for the custom hardware necessary to operate the device and discuss diagnostic techniques to determine the performance. The beam auto-aligning device has been used to improve the alignment of a laser beam into a single-mode optical fiber from manually optimized fiber alignment, with an iteration time of typically 20 minutes. We present example data of one such measurement to illustrate device performance.

Descriptions

Resource type

Dataset

Contributors

Contact person: Mathew, Renju ¹
Contact person: O'Donnell, Roshan ¹
Creator: Pizzey, Danielle ¹
Contact person: Hughes, Ifan ¹

¹ Durham, University, United Kingdom

Funder

Engineering and Physical Sciences Research Council

Research methods

Other description

Keyword

Machine learning
Optical fibers
Raspberry Pi
Automated

Subject

Location

Language

Cited in

doi:10.1063/5.0032588

Identifier

ark:/32150/r1qr46r0844
doi:10.15128/r1qr46r0844

Rights

Creative Commons Attribution 4.0 International (CC BY)

Publisher

Durham University

Date Created

File Details

Depositor

D. Pizzey

Date Uploaded

10 December 2020, 16:12:17

Date Modified

12 January 2021, 12:01:17

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File format: zip (ZIP Format)

Mime type: application/zip

File size: 35464

Last modified: 2020:12:10 16:05:25+00:00

Filename: DATA_DOI.zip

Original checksum: f2766f928156b771546873ff1bfd1815