Spatiotemporal statistics of the turbulent piston-removed phase and Zernike coefficients for two distinct beams
| Autor: | Plantet, Cédric, Carlà, Giulia, Agapito, Guido, Busoni, Lorenzo |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | J. Opt. Soc. Am. A 39, 17-27 (2022) |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1364/JOSAA.431520 |
| Popis: | In the context of adaptive optics for astronomy, one can rely on the statistics of the turbulent phase to assess a part of the system's performance. Temporal statistics with one source and spatial statistics with two sources are well-known and are widely used for classical adaptive optics systems. A more general framework, including both spatial and temporal statistics, can be useful for the analysis of the existing systems and to support the design of the future ones. In this paper, we propose an expression of the temporal cross power spectral densities of the turbulent phases in two distinct beams, that is from two different sources to two different apertures. We either consider the phase as it is, without piston, or as its decomposition on Zernike modes. The general formulas allow to cover a wide variety of configurations, from single-aperture to interferometric telescopes equipped with adaptive optics, with the possibility to consider apertures of different sizes and/or sources at a finite distance. The presented approach should lead to similar results with respect to existing methods in the Fourier domain, but it is focused on temporal frequencies rather than spatial ones, which might be convenient for some aspects such as control optimization. To illustrate this framework with a simple application, we demonstrate that the wavefront residual due to the anisoplanatism error in a single-conjugated adaptive optics system is overestimated when it is computed from covariances without taking into account the temporal filtering of the adaptive optics loop. We also show this overestimation in the case of a small-baseline interferometer, for which the two beams are significantly correlated. Comment: \c{opyright} 2021 Optica Publishing Group. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved |
| Databáze: | arXiv |
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