Fast, efficient piston correction of deployable space telescopes using machine learning

Daniel Martin, Andrew Reeves, Hubert P. H. Shum, Cyril Bourgenot

Open source

DOI: 10.1364/oe.582377
Published: 2026-02-02
Container: Optics Express
Publisher: Optica Publishing Group
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1364/oe.582377,
  title = {Fast, efficient piston correction of deployable space telescopes using machine learning},
  author = {Daniel Martin and Andrew Reeves and Hubert P. H. Shum and Cyril Bourgenot},
  year = {2026},
  journal = {Optics Express},
  doi = {10.1364/oe.582377},
  url = {https://doi.org/10.1364/oe.582377}
}

RIS

TY  - JOUR
TI  - Fast, efficient piston correction of deployable space telescopes using machine learning
AU  - Daniel Martin
AU  - Andrew Reeves
AU  - Hubert P. H. Shum
AU  - Cyril Bourgenot
PY  - 2026
JO  - Optics Express
DO  - 10.1364/oe.582377
UR  - https://doi.org/10.1364/oe.582377
ER  -

APA

Martin, D., Reeves, A., Shum, H. P. H., & Bourgenot, C. (2026). Fast, efficient piston correction of deployable space telescopes using machine learning. Optics Express. https://doi.org/10.1364/oe.582377

Source records

crossref · retrieved 2026-11-06T13:25:16.408Z