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The Raspberry Pi Auto-aligner: Machine Learning for Automated Alignment of Laser Beams

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
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
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