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

Mathew, Renju S.; O’Donnell, Roshan; Pizzey, Danielle; Hughes, Ifan G.

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Authors

Renju S. Mathew

Roshan O’Donnell



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.

Citation

Mathew, R. S., O’Donnell, R., Pizzey, D., & Hughes, I. G. (2021). The Raspberry Pi auto-aligner: Machine learning for automated alignment of laser beams. Review of Scientific Instruments, 92(1), Article 015117. https://doi.org/10.1063/5.0032588

Journal Article Type Article
Acceptance Date Dec 22, 2020
Online Publication Date Jan 19, 2021
Publication Date 2021-01
Deposit Date Feb 24, 2021
Publicly Available Date Feb 24, 2021
Journal Review of Scientific Instruments
Print ISSN 0034-6748
Electronic ISSN 1089-7623
Publisher American Institute of Physics
Peer Reviewed Peer Reviewed
Volume 92
Issue 1
Article Number 015117
DOI https://doi.org/10.1063/5.0032588

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