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Peer-reviewedPublisher termsAstronomy & Astrophysics

Data-driven point spread function parameterization with generative neural networks. Application to high-contrast VLT/SPHERE observations

  • T. Santos
  • F. Soulez
  • T. Bodin
  • O. Flasseur
  • A. Kaszczyc
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@article{santos2026datadriven,
  title = {{Data-driven point spread function parameterization with generative neural networks. Application to high-contrast VLT/SPHERE observations}},
  author = {T. Santos and F. Soulez and T. Bodin and O. Flasseur and A. Kaszczyc},
  journal = {Astronomy \& Astrophysics},
  year = {2026},
  month = oct,
  doi = {10.1051/0004-6361/202661660},
  url = {https://www.aanda.org/10.1051/0004-6361/202661660},
}
RIS
TY  - JOUR
TI  - Data-driven point spread function parameterization with generative neural networks. Application to high-contrast VLT/SPHERE observations
AU  - T. Santos
AU  - F. Soulez
AU  - T. Bodin
AU  - O. Flasseur
AU  - A. Kaszczyc
PY  - 2026
DA  - 2026/10/22
JO  - Astronomy & Astrophysics
DO  - 10.1051/0004-6361/202661660
UR  - https://www.aanda.org/10.1051/0004-6361/202661660
SN  - 0004-6361
SN  - 1432-0746
ER  -