Integrating supervised and reinforcement learning for predictive control with an unmodulated pyramid wavefront sensor for adaptive optics
We propose a novel control approach that combines offline supervised learning to address
the challenges posed by non-linear phase reconstruction using unmodulated pyramid …
the challenges posed by non-linear phase reconstruction using unmodulated pyramid …
Cascade adaptive optics with a second stage based on a Zernike wavefront sensor for exoplanet observations-Experimental validation on the ESO/GHOST testbed
Context. Over the past decade, the high-contrast observation of disks and gas giant planets
around nearby stars has been made possible with ground-based instruments using extreme …
around nearby stars has been made possible with ground-based instruments using extreme …
More data than you want, less data than you need: machine learning approaches to starlight subtraction with MagAO-X
High-contrast imaging data analysis depends on removing residual starlight from the host
star to reveal planets and disks. Most observers do this with principal components analysis …
star to reveal planets and disks. Most observers do this with principal components analysis …
High-contrast imaging at first-light of the GMT: the wavefront sensing and control architecture of GMagAO-X
The Giant Magellan Adaptive Optics eXtreme (GMagAO-X) instrument is a first-light high-
contrast imaging instrument for the Giant Magellan Telescope (GMT). GMagAO-X's broad …
contrast imaging instrument for the Giant Magellan Telescope (GMT). GMagAO-X's broad …
Integrating deep neural networks with COSMIC for real-time control
We present results on integrating Machine Learning (ML) methods for adaptive optics
control with a real-time control library: COmmon Scalable and Modular Infrastructure for real …
control with a real-time control library: COmmon Scalable and Modular Infrastructure for real …
Wavefront Estimation from Pyramid Type Wavefront Sensors Using a Convolutional Neural Network
Images of astronomical objects and orbiting satellites captured by ground-based telescopes
are blurred by atmospheric turbulence. Adaptive optics systems correct this blurring using …
are blurred by atmospheric turbulence. Adaptive optics systems correct this blurring using …
More data than you want, fewer data than you need: machine learning approaches to starlight subtraction with MagAO-X
High-contrast imaging data analysis depends on removing residual starlight from the host
star to reveal planets and disks. Most observers do this with principal components analysis …
star to reveal planets and disks. Most observers do this with principal components analysis …