Digital-holographic detection in the off-axis pupil plane recording geometry for deep-turbulence wavefront sensing
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...
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| Veröffentlicht in: | Applied optics (2004) 2018-01, Vol.57 (3), p.465-475 |
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| container_title | Applied optics (2004) |
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| creator | Banet, Matthias T Spencer, Mark F Raynor, Robert A |
| description | 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. |
| doi_str_mv | 10.1364/AO.57.000465 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 1559-128X |
| ispartof | Applied optics (2004), 2018-01, Vol.57 (3), p.465-475 |
| issn | 1559-128X 2155-3165 1539-4522 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1994361643 |
| source | Alma/SFX Local Collection; Optica Publishing Group Journals |
| subjects | Geometry Mathematical models Model accuracy Noise Parameters Pixels Point spread functions Recording Strehl ratio Turbulence |
| title | Digital-holographic detection in the off-axis pupil plane recording geometry for deep-turbulence wavefront sensing |
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