38 citations · 41 across the 5 of their papers we have counts for
6 papers
Reinforcement learning for post-coronagraphic wavefront control
Manuela Castañeda-Medina, Yann Gutierrez, Johan Mazoyer +3
Direct imaging of exoplanets is limited by the extreme contrast between the star and the planets, which is mitigated using a coronagraph. However, optical aberrations cause starlig…
A Deep Reinforcement Learning Approach to Wavefront Control for Exoplanet Imaging
Yann Gutierrez, Johan Mazoyer, Olivier Herscovici-Schiller +3
Exoplanet imaging uses coronagraphs to block out the bright light from a star, allowing astronomers to observe the much fainter light from planets orbiting the star. However, these…
Image-based wavefront correction using model-free Reinforcement Learning
Yann Gutierrez, Johan Mazoyer, Laurent M. Mugnier +2
Optical aberrations prevent telescopes from reaching their theoretical diffraction limit. Once estimated, these aberrations can be compensated for using deformable mirrors in a clo…
Integrated photonic-based coronagraphic systems for future space telescopes
Niyati Desai, Lorenzo König, Emiel Por +38
The detection and characterization of Earth-like exoplanets around Sun-like stars is a primary science motivation for the Habitable Worlds Observatory. However, the current best te…
Visible extreme adaptive optics on extremely large telescopes: Towards detecting oxygen in Proxima Centauri b and analogs
J. Fowler, Sebastiaan Y. Haffert, Maaike A. M. van Kooten +38
Looking to the future of exo-Earth imaging from the ground, core technology developments are required in visible extreme adaptive optics (ExAO) to enable the observation of atmosph…
Chasing rainbows and ocean glints: Inner working angle constraints for the Habitable Worlds Observatory
Sophia R. Vaughan, Timothy D. Gebhard, Kimberly Bott +41
NASA is engaged in planning for a Habitable Worlds Observatory (HabWorlds), a coronagraphic space mission to detect rocky planets in habitable zones and establish their habitabilit…