Paper
1 August 2018 Simulation of a cascaded adaptive optic system for high contrast imaging
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Abstract
Higher contrast on images using Adaptive Optics (AO) systems is a topic on demand to be develop for high contrast imaging, especially on objects with small angular separations mixed with low entrance flux. Is for this, that a new system architecture is presented on this proceeding, where an already existing low order system (the 1st stage) is retrofitting a high order, fast system (the 2nd stage). The benefits of such a design is to minimize interventions in the hardware and software of the existing system, while increasing the number of degrees of freedom and speed of the combined system. The 1st stage is completely independent, and does not see the corrections done by the 2nd stage. We present here the analytical formulation and simulations results of such a system. First the system is described and the methodology is presented, where an analytical model was used to roughly determine system parameters for the 1st stage and 2nd stage, and then, a numerical simulation is performed using Octopus for verification.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nelly Cerpa Urra, Markus Kasper, Miska Le Louarn, Caroline Kulcsár, and Henri-François Raynaud "Simulation of a cascaded adaptive optic system for high contrast imaging", Proc. SPIE 10703, Adaptive Optics Systems VI, 1070363 (1 August 2018); https://doi.org/10.1117/12.2311961
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Cited by 1 scholarly publication.
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KEYWORDS
Adaptive optics

Numerical simulations

Performance modeling

Imaging systems

Point spread functions

Signal to noise ratio

Systems modeling

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