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The Raspberry Pi auto-aligner: Machine learning for automated alignment of laser beams

Mathew, Renju S. and O’Donnell, Roshan and Pizzey, Danielle and Hughes, Ifan G. (2021) 'The Raspberry Pi auto-aligner: Machine learning for automated alignment of laser beams.', Review of scientific instruments., 92 (1). 015117.

Abstract

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.

Item Type:Article
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Available under License - Creative Commons Attribution 4.0.
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1063/5.0032588
Publisher statement:© 2021 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). https://doi.org/10.1063/5.0032588
Date accepted:22 December 2020
Date deposited:24 February 2021
Date of first online publication:19 January 2021
Date first made open access:24 February 2021

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