Self-optimizing adaptive optics control with Reinforcement Learning for high-contrast imaging

no code implementations • 24 Aug 2021 • Rico Landman, Sebastiaan Y. Haffert, Vikram M. Radhakrishnan, Christoph U. Keller

Next, we show in simulations that our algorithm can also be applied to the control of a high-order deformable mirror.

reinforcement-learning Reinforcement Learning (RL)

Design of the Life Signature Detection Polarimeter LSDpol

no code implementations • 16 Dec 2020 • Christoph U. Keller, Frans Snik, C. H. Lucas Patty, Dora Klindžić, Mariya Krasteva, David S. Doelman, Thomas Wijnen, Vidhya Pallichadath, Daphne M. Stam, Brice-Olivier Demory, Jonas G. Kühn, H. Jens Hoeijmakers, Antoine Pommerol, Olivier Poch

LSDpol is a compact spectropolarimeter concept with no moving parts that instantaneously measures linear and circular polarization averaged over the field of view with a sensitivity of better than 1e-4.

Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics

Self-optimizing adaptive optics control with Reinforcement Learning

no code implementations • 3 Dec 2020 • Rico Landman, Sebastiaan Y. Haffert, Vikram M. Radhakrishnan, Christoph U. Keller

We conclude that Reinforcement Learning is a promising approach towards data-driven predictive control; future research will apply this approach to the control of high-order deformable mirrors

Instrumentation and Methods for Astrophysics

High contrast imaging for the enhanced resolution imager and spectrometer (ERIS)

no code implementations • 3 Dec 2020 • Matthew A. Kenworthy, Frans Snik, Christoph U. Keller, David Doelman, Emiel H. Por, Olivier Absil, Brunella Carlomagno, Mikael Karlsson, Elsa Huby, Adrian M. Glauser, Sascha P. Quanz, William D. Taylor

ERIS is a diffraction limited thermal infrared imager and spectrograph for the Very Large Telescope UT4.

Instrumentation and Methods for Astrophysics