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Updated: Nov 19, 2025

Automated Delivery of Microfabricated Targets for Intense Laser Irradiation Experiments
Published on: January 28, 2021
The Raspberry Pi auto-aligner: Machine learning for automated alignment of laser beams
Renju S Mathew1, Roshan O'Donnell1, Danielle Pizzey1
1Joint Quantum Centre (JQC) Durham-Newcastle, Department of Physics, Durham University, South Road, Durham DH1 3LE, United Kingdom.
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.

