PO4NCPA applies model-based RL to focal-plane images via sequential phase diversity to correct static and dynamic NCPAs, achieving near-optimal suppression in simulations for coronagraphic and non-coronagraphic cases.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
astro-ph.IM 1years
2026 1verdicts
UNVERDICTED 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Focal plane wavefront control with model-based reinforcement learning
PO4NCPA applies model-based RL to focal-plane images via sequential phase diversity to correct static and dynamic NCPAs, achieving near-optimal suppression in simulations for coronagraphic and non-coronagraphic cases.