Work

Modal Wavefront Sensorless Adaptive Optics with Karhunen-Loève Functions

Year: 2019

Type: conference-paper

Abstract: In this work we propose an optimal modal decomposition technique for gradient-based wavefront sensorless adaptive optics. We implement statistically independent Karhunen-Loeve functions for iterative blind correction, and analyze their optimal correction performance in various turbulence conditions in temporally evolving turbulence simulations.

Source: HAL

DOI: 10.34693/coat2019-s4-001

Authors: Segel, Max, McDonald, Douglas, Gladysz, Szymon

Institution: Fraunhofer Institute of Optronics, System Technologies and Image Exploitation

Language: English

Topic: Adaptive optics and wavefront sensing

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3040770489

FWCI:

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