Continuous Active Correction of Deployable Space Telescopes Using Machine Learning

Daniel Martin, Andrew Reeves, Cyril Bourgenot, George Hawker, Ian Parry

Open source

DOI: 10.20944/preprints202608.2163.v1
Published: 2026-08-31
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Publisher: MDPI AG
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Cite this work

BibTeX

@article{allodium:10.20944/preprints202608.2163.v1,
  title = {Continuous Active Correction of Deployable Space Telescopes Using Machine Learning},
  author = {Daniel Martin and Andrew Reeves and Cyril Bourgenot and George Hawker and Ian Parry},
  year = {2026},
  doi = {10.20944/preprints202608.2163.v1},
  url = {https://doi.org/10.20944/preprints202608.2163.v1}
}

RIS

TY  - JOUR
TI  - Continuous Active Correction of Deployable Space Telescopes Using Machine Learning
AU  - Daniel Martin
AU  - Andrew Reeves
AU  - Cyril Bourgenot
AU  - George Hawker
AU  - Ian Parry
PY  - 2026
DO  - 10.20944/preprints202608.2163.v1
UR  - https://doi.org/10.20944/preprints202608.2163.v1
ER  -

APA

Martin, D., Reeves, A., Bourgenot, C., Hawker, G., & Parry, I. (2026). Continuous Active Correction of Deployable Space Telescopes Using Machine Learning. https://doi.org/10.20944/preprints202608.2163.v1

Source records

crossref · retrieved 2026-11-06T13:31:10.246Z