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Related Experiment Video

Updated: Jun 22, 2026

Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light

Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light

Published on: September 20, 2017

A liquid crystal atmospheric turbulence simulator.

Lifa Hu, Li Xuan, Zhaoliang Cao

|June 17, 2009

Summary

This study presents a covariance method for calculating atmospheric turbulence wavefronts. An advanced liquid crystal simulator (ATS) was used to generate and measure these wavefronts, offering flexible control over weather parameters.

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Last Updated: Jun 22, 2026

Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light

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Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

Published on: February 22, 2018

Area of Science:

Optics and Photonics
Atmospheric Science
Wavefront Sensing

Background:

Atmospheric turbulence distorts wavefronts, impacting optical systems.
Accurate simulation of turbulence is crucial for adaptive optics and free-space communication.
Existing turbulence simulators have limitations in flexibility and control.

Purpose of the Study:

To theoretically present and experimentally validate a covariance method for calculating time-evolution turbulence wavefronts.
To introduce a novel liquid crystal atmospheric turbulence simulator (ATS) for generating and measuring disturbed wavefronts.
To highlight the advantages of the liquid crystal on silicon (LCOS) based ATS over conventional methods.

Main Methods:

Theoretical development of a covariance method for wavefront analysis.
Experimental generation of turbulence-disturbed wavefronts using a high-pixel-density LCOS-based ATS.
Measurement of wavefronts using a wavefront sensor.

Main Results:

Successful theoretical formulation of the covariance method for time-evolution wavefronts.
Experimental demonstration of the LC ATS generating and measuring turbulence-affected wavefronts.
Validation of the LC ATS's ability to simulate atmospheric turbulence.

Conclusions:

The covariance method provides a robust approach for analyzing turbulence wavefronts.
The developed LC ATS offers a flexible and controllable platform for atmospheric turbulence simulation.
This technology advances the study and mitigation of atmospheric turbulence effects on optical signals.