47 citations · 97 across the 10 of their papers we have counts for
10 papers
Exploring reinforcement learning to enhance focal-plane wavefront control for vortex coronagraphs
Iremsu Taskin, Jalo Nousiainen, Gilles Orban de Xivry +2
High Contrast Imaging (HCI) on ground-based telescopes suffers from phase aberrations on the observed wavefront caused by atmospheric turbulence. Adaptive Optics (AO) systems are a…
Cascade adaptive optics with a second stage based on a Zernike wavefront sensor for exoplanet observations II. Validation in broadband light on the ESO/GHOST testbed
A. Rahim, M. N'Diaye, A. Vigan +10
Current high-contrast facilities on the ground use extreme adaptive optics (XAO) systems to achieve contrasts down to at 200\,mas for exoplanet observations. This perform…
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…
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…
The power of prediction: spatiotemporal Gaussian process modeling for predictive control in slope-based wavefront sensing
Jalo Nousiainen, Juha-Pekka Puska, Tapio Helin +2
Time-delay error is a significant error source in adaptive optics (AO) systems. It arises from the latency between sensing the wavefront and applying the correction. Predictive con…
Laboratory Experiments of Model-based Reinforcement Learning for Adaptive Optics Control
Jalo Nousiainen, Byron Engler, Markus Kasper +5
Direct imaging of Earth-like exoplanets is one of the most prominent scientific drivers of the next generation of ground-based telescopes. Typically, Earth-like exoplanets are loca…
Towards on-sky adaptive optics control using reinforcement learning
J. Nousiainen, C. Rajani, M. Kasper +15
The direct imaging of potentially habitable Exoplanets is one prime science case for the next generation of high contrast imaging instruments on ground-based extremely large telesc…
Adaptive Optics control using Model-Based Reinforcement Learning
Jalo Nousiainen, Chang Rajani, Markus Kasper +1
Reinforcement Learning (RL) presents a new approach for controlling Adaptive Optics (AO) systems for Astronomy. It promises to effectively cope with some aspects often hampering AO…
PCS -- A Roadmap for Exoearth Imaging with the ELT
Markus Kasper, Nelly Cerpa Urra, Prashant Pathak +22
The Planetary Camera and Spectrograph (PCS) for the Extremely Large Telescope (ELT) will be dedicated to detecting and characterising nearby exoplanets with sizes from sub-Neptune…