4 papers
On-sky demonstration of reinforcement learning for adaptive optics control
Jalo Nousiainen, Vincent Chambouleyron, Benoit Neichel +7
Reinforcement learning (RL)-based algorithms have recently emerged as a promising approach for adaptive optics (AO) control. In simulations and laboratory experiments, they have de…
Focal plane wavefront control with model-based reinforcement learning
Jalo Nousiainen, Iremsu Taskin, Markus Kasper +2
The direct imaging of potentially habitable exoplanets is one prime science case for high-contrast imaging instruments on extremely large telescopes. Most such exoplanets orbit clo…
Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning reveals the Giant Exoplanet AF Lep b in High-Contrast Imaging Data from 2011
Markus J. Bonse, Timothy D. Gebhard, Felix A. Dannert +10
The main challenge of exoplanet high-contrast imaging (HCI) is to separate the signal of exoplanets from their host stars, which are many orders of magnitude brighter. HCI for grou…
The GPU-based High-order adaptive OpticS Testbench
Byron Engler, Markus Kasper, Serban Leveratto +12
The GPU-based High-order adaptive OpticS Testbench (GHOST) at the European Southern Observatory (ESO) is a new 2-stage extreme adaptive optics (XAO) testbench at ESO. The GHOST is…