SOURCE-LINKED INTELLIGENCE

Reinforcement learning for post-coronagraphic wavefront control

arXiv · AI, language, vision and robotics · article · Sep 16, 2026 · UTC

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 starlight leakage through the coronagraph, producing speckles that obscure the planetary signal. Achieving the required contrast levels demands wavefront control with subnanometric precision. Deep reinforcement learning offers a promising alternative to traditional focal-plane wavefront control techniques by enabling adaptive correction strategies learned directly from interaction with the system. In this work, we present a

Read original source ↗ Open in workspace

recordType

paper

region

Global