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12 July 2018 Spatial filtering applied to the pyramid WFS: simulations and preliminary results
D. Vassallo, Roberto Ragazzoni, Carmelo Arcidiacono, Davide Greggio
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Proceedings Volume 10703, Adaptive Optics Systems VI; 107035U (2018) https://doi.org/10.1117/12.2313281
Event: SPIE Astronomical Telescopes + Instrumentation, 2018, Austin, Texas, United States
Abstract
In this paper we discuss the potentiality of the spatial filtering approach for the case of a pupil plane wavefront sensor like the pyramid sensor. Filtering is realized by selectively blocking the light just before the pyramid prism. Several schemes can be followed to accomplish this: from a simple field stop that blocks high-order spatial frequencies in order to reduce the aliasing effect (an example is the so-called spatial filtered Shack- Hartmann) to more complicated frequency-selection schemes. In this work we present the simulation environment that we developed to investigate different approaches in this sense aimed at understanding if any practical advantages in wavefront sensing can be effectively attained in particular regimes. We present some preliminary results obtained with end-to-end simulations. In particular, we qualitavely explored the simplest frequency-selection scheme consisting of a field stop just in front of the pyramid. We show that this can help mitigating the effect of contaminating high-order frequencies. Next steps will be in the direction of exploring different reference star brightness regimes in order to determine under which conditions spatial filtering can improve the quality of closed-loop correction. Moreover, different spatial filter sizes and shapes to control the frequencies conveyed to the wave-front sensor will be investigated.
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D. Vassallo, Roberto Ragazzoni, Carmelo Arcidiacono, and Davide Greggio "Spatial filtering applied to the pyramid WFS: simulations and preliminary results", Proc. SPIE 10703, Adaptive Optics Systems VI, 107035U (12 July 2018); https://doi.org/10.1117/12.2313281
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KEYWORDS
Spatial filters
Spatial frequencies
Adaptive optics
Sensors
Wavefront sensors
Signal to noise ratio
Fourier transforms
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