Presentation
13 December 2020 Joint estimation of NCPA and exoplanetary image in stationary atmospheric turbulence using millisecond telemetry from the WFS and science camera
Author Affiliations +
Abstract
In 2013, Frazin introduced a statistical inference algorithm that uses simultaneous millisecond exposures in the science camera (SC) and wavefront sensor (WFS) to jointly estimate this NCPA, as well as the exoplanetary image. Here, we provide an update on the advancement of the method, with a focus on the ability to compensate NCPA in real time, and an evaluation of the effect of readout noise on the contrast. Finally, we make conclusions about the practicality of implementing the algorithm on modern and future telescopes, discussing factors such as real time computational requirements and high fidelity model calibrations.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexander T. Rodack, Richard A. Frazin, and Jared R. Males "Joint estimation of NCPA and exoplanetary image in stationary atmospheric turbulence using millisecond telemetry from the WFS and science camera", Proc. SPIE 11448, Adaptive Optics Systems VII, 1144858 (13 December 2020); https://doi.org/10.1117/12.2562890
Advertisement
Advertisement
KEYWORDS
Cameras

Atmospheric turbulence

Adaptive optics

Astronomy

Exoplanets

Image sensors

Statistical analysis

RELATED CONTENT


Back to Top