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Updated: Mar 19, 2026

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

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Published on: February 13, 2018

Plenoptic wavefront sensor reconstruction algorithm tailored for sensing turbulence.

Di Lin, Gregory P DiComo, Steve J Frawley

|March 17, 2026

Summary

This summary is machine-generated.

This study introduces a new plenoptic wavefront sensor algorithm for accurately reconstructing turbulent wavefronts. The technique consolidates phase tilt data, improving performance and identifying error sources for future enhancements.

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Last Updated: Mar 19, 2026

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

Published on: February 13, 2018

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

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Published on: March 12, 2019

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Published on: November 16, 2019

Area of Science:

Optics and Photonics
Wavefront Sensing
Adaptive Optics

Background:

Turbulent wavefronts distort optical signals, impacting imaging and laser systems.
Traditional wavefront sensors face limitations in certain applications.

Purpose of the Study:

To develop and validate a novel plenoptic wavefront sensor algorithm for turbulent wavefront recovery.
To assess the performance and identify error sources of the proposed sensor architecture.

Main Methods:

A specialized consolidation technique was developed to combine phase tilt contributions from individual sensor cells.
A synthetic turbulent wavefront and a numerical model of the plenoptic sensor were used for emulation.
Wavefront reconstruction and performance evaluation were conducted using the composite sensor image.

Main Results:

The algorithm successfully reconstructed a synthetic turbulent wavefront.
The efficacy of the consolidation technique was demonstrated.
Key error sources inherent to the sensor architecture were identified.

Conclusions:

The presented plenoptic wavefront sensor algorithm shows promise for accurate turbulent wavefront recovery.
Further research can focus on mitigating identified error sources to enhance sensor performance.