59 citations · 60 across the 4 of their papers we have counts for
5 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…
Upgrading SPHERE with the second stage AO system SAXO+: non-common path aberrations estimation and correction
Johan Mazoyer, Charles Goulas, Fabrice Vidal +16
SAXO+ is a planned enhancement of the existing SAXO, the VLT/ SPHERE adaptive optics system, deployed on ESO's Very Large Telescope. This upgrade is designed to significantly enhan…
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…
High-order myopic coronagraphic phase diversity (COFFEE) for wave-front control in high-contrast imaging systems
B. Paul, L. M. Mugnier, J. -F. Sauvage +1
The estimation and compensation of quasi-static aberrations is mandatory to reach the ultimate performance of high-contrast imaging systems. COFFEE is a focal plane wave-front sens…