Advanced wavefront sensing and control demonstration with MagAO-X
Sebastiaan Y. Haffert, Jared R. Males, Kyle Van Gorkom, Laird M., Close, Joseph D. Long, Alexander D. Hedglen, Kyohoon Ahn, Olivier Guyon,, Lauren Schatz, Maggie Kautz, Jennifer Lumbres, Alexander Rodack, Justin M., Knight, He Sun, Kevin Fogarty, Kelsey Miller

TL;DR
This paper demonstrates advanced wavefront sensing and control techniques with MagAO-X, including predictive control and model-free focal-plane control, to improve exoplanet imaging by reducing noise and aberrations.
Contribution
It introduces a new model-free focal-plane wavefront control method and evaluates predictive control performance on MagAO-X, enhancing adaptive optics capabilities.
Findings
Predictive control reduces temporal control error and residual halo.
Model-free focal-plane control achieves deep contrast (<1e-7 at 5 λ/D).
On-sky tests are scheduled for April 2022.
Abstract
The search for exoplanets is pushing adaptive optics systems on ground-based telescopes to their limits. Currently, we are limited by two sources of noise: the temporal control error and non-common path aberrations. First, the temporal control error of the AO system leads to a strong residual halo. This halo can be reduced by applying predictive control. We will show and described the performance of predictive control with the 2K BMC DM in MagAO-X. After reducing the temporal control error, we can target non-common path wavefront aberrations. During the past year, we have developed a new model-free focal-plane wavefront control technique that can reach deep contrast (<1e-7 at 5 /D) on MagAO-X. We will describe the performance and discuss the on-sky implementation details and how this will push MagAO-X towards imaging planets in reflected light. The new data-driven predictive…
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Taxonomy
TopicsAdaptive optics and wavefront sensing · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
