Detection of Static Aberrations in Imaging Optical Path Considering Residual Constraints of Wavefront Sensor
Noncommon path static and quasistatic aberrations are key factors that limit high-resolution and high-contrast imaging of large ground-based astronomical telescopes.These static aberrations cannot be detected by wavefront sensors in the adaptive optics(AO)systems of the telescopes and adversely affect imaging performance.Traditional methods for detecting noncommon path static aberrations exhibit drawbacks such as high computational complexity,slow iteration convergence,and ambiguity in aberration symbols.On the basis of focal plane distortion images,a static aberration detection model for imaging optical paths,considering the residual aberration constraints of the wavefront sensors in AO systems,was established.Experiments were conducted,wherein static aberrations were detected offline by using the stochastic parallel gradient descent(SPGD)iterative algorithm.The experimental results show that the proposed method exhibits high accuracy in static aberration detection of imaging optical paths,as well as good robustness and stability under different noise effects.Thus,a novel approach is proposed for detecting static aberrations in the imaging optical paths of large ground-based adaptive optical telescopes.The findings afford a theoretical basis and algorithm guidance for static aberration compensation and correction in AO systems.
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