Digital-holographic detection in the off-axis pupil plane recording geometry for deep-turbulence wavefront sensing
| Autor: | Mark F. Spencer, Robert A. Raynor, Matthias T. Banet |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Wavefront
Physics Point spread function Pixel business.industry Plane (geometry) Holography Strehl ratio Geometry 02 engineering and technology 01 natural sciences Noise (electronics) Atomic and Molecular Physics and Optics Standard deviation law.invention 010309 optics 020210 optoelectronics & photonics Optics law 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering business Engineering (miscellaneous) |
| Zdroj: | Applied optics. 57(3) |
| ISSN: | 1539-4522 |
| Popis: | This paper uses wave-optics and signal-to-noise models to explore the estimation accuracy of digital-holographic detection in the off-axis pupil plane recording geometry for deep-turbulence wavefront sensing. In turn, the analysis examines three important parameters: the number of pixels across the width of the focal-plane array, the window radius in the Fourier plane, and the signal-to-noise ratio. By varying these parameters, the wave-optics and signal-to-noise models quantify performance via a metric referred to as the field-estimated Strehl ratio, and the analysis leads to a method for optimal windowing of the turbulence-limited point spread function. Altogether, the results will allow future research efforts to assess the number of pixels, pixel size, pixel-well depth, and read-noise standard deviation needed from a focal-plane array when using digital-holographic detection in the off-axis pupil plane recording geometry for estimating the complex-optical field when in the presence of deep turbulence and detection noise. |
| Databáze: | OpenAIRE |
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