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Shack-Hartmann versus reverse Hartmann wavefront sensors: experimental results
Optics Letters
|April 3, 2020
Summary
The reverse Hartmann (RH) sensor and Shack-Hartmann (SH) sensor achieve similar wavefront error (WFE) measurement accuracy. A double Fourier transform algorithm enhances both RH and SH sensor performance for precise WFE reconstruction.
Area of Science:
- Optics and Photonics
- Optical Metrology
- Wavefront Sensing
Background:
- The Shack-Hartmann (SH) wavefront sensor (WFS) is a standard for wavefront error (WFE) measurement.
- The reverse Hartmann (RH) sensor offers an alternative configuration by inverting optical element positions.
- A double Fourier transform algorithm can process raw data from both sensor types.
Purpose of the Study:
- To experimentally validate the performance of a simplified reverse Hartmann (RH) WFS.
- To compare the WFE measurement accuracy of RH WFS with a reference SH WFS.
- To evaluate the efficacy of a double Fourier transform algorithm for both RH and SH sensor data.
Main Methods:
- Implementation of a simplified reverse Hartmann (RH) wavefront sensor (WFS).
- Acquisition of experimental data using both RH WFS and a reference Shack-Hartmann (SH) WFS.
- Application of a double Fourier transform algorithm to raw data from both sensor types.
Main Results:
- The reverse Hartmann (RH) sensor demonstrated comparable WFE measurement accuracy to the Shack-Hartmann (SH) sensor.
- The double Fourier transform algorithm proved effective for both RH and SH sensor data.
- Achieved WFE measurement accuracy was within approximately $\lambda/10$λ/10 RMS on the test bench.
Conclusions:
- The reverse Hartmann (RH) sensor is a viable alternative to the Shack-Hartmann (SH) sensor for wavefront error measurement.
- The double Fourier transform algorithm offers a unified approach for enhancing WFE reconstruction in both RH and SH sensors.
- Similar wavefront measurement accuracy is achievable with RH and SH sensors, particularly when employing advanced processing algorithms.

