The adaptive optics simulation analysis tool(kit) (AOSAT)

Markus Feldt; Stefan Hippler; Faustine Cantalloube; Thomas Bertram; Andreas Obereder; Horst Steuer; Olivier Absil; Miska Le Louarn

doi:10.1117/12.2561404

arXiv · 2102.03068

The adaptive optics simulation analysis tool(kit) (AOSAT)

Markus Feldt·Stefan Hippler·Faustine Cantalloube·Thomas Bertram·Andreas Obereder·Horst Steuer·Olivier Absil·Miska Le Louarn

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Abstract

AOSAT is a python package for the analysis of single-conjugate adaptive optics (SCAO) simulation results. Python is widely used in the astronomical community these days, and AOSAT may be used stand-alone, integrated into a simulation environment, or can easily be extended according to a user's needs. Standalone operation requires the user to provide the residual wavefront frames provided by the SCAO simulation package used, the aperture mask (pupil) used for the simulation, and a custom setup file describing the simulation/analysis configuration. In its standard form, AOSAT's "tearsheet" functionality will then run all standard analyzers, providing an informative plot collection on properties such as the point-spread function (PSF) and its quality, residual tip-tilt, the impact of pupil fragmentation, residual optical aberration modes both static and dynamic, the expected high-contrast performance of suitable instrumentation with and without coronagraphs, and the power spectral density of residual wavefront errors. AOSAT fills the gap between the simple numerical outputs provided by most simulation packages, and the full-scale deployment of instrument simulators and data reduction suites operating on SCAO residual wavefronts. It enables instrument designers and end-users to quickly judge the impact of design or configuration decisions on the final performance of down-stream instrumentation.

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Markus Feldt, Stefan Hippler, Faustine Cantalloube, Thomas Bertram, Andreas Obereder, Horst Steuer, Olivier Absil, Miska Le Louarn. 2021-02-05. The adaptive optics simulation analysis tool(kit) (AOSAT). https://doi.org/10.1117/12.2561404

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