Ren D Q, Zhang T Y, Wang G. An optimized high-performance technique for adaptive optics static aberration correction[J]. Opto-Electron Eng, 2022, 49(3): 210319. doi: 10.12086/oee.2022.210319
Citation: Ren D Q, Zhang T Y, Wang G. An optimized high-performance technique for adaptive optics static aberration correction[J]. Opto-Electron Eng, 2022, 49(3): 210319. doi: 10.12086/oee.2022.210319

An optimized high-performance technique for adaptive optics static aberration correction

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  • For adaptive optics (AO) systems, Non-Common Path Aberration (NCPA) is considered as a critical issue to limit its diffraction-limited imaging performance and the static aberration will inevitably be introduced in the common path of the AO system inevitably at the same time, especially when it is coupled to telescopes intended for scientific observation. This paper presents an optimized focal-plane-based static aberration correction technique, which can copy a perfect point-spread function (PSF) generated by a single-mode fiber to the AO system via iteration optimization algorithm and static aberration in the AO system can be rapidly corrected. Compared with the focal-plane approach we proposed before, this optimized approach can achieve a global optimization result rapidly and deliver better performance when the AO system has a large initial static wavefront error. This technique can be implemented more conveniently in the AO system than other traditional correction methods for achieving an extremely high imaging performance in astronomy or other fields.
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  • Non-Common Path Aberration (NCPA) is introduced by the physical separation between the science camera path and the wavefront sensor path. At the same time, the static aberration will also be introduced in common path of the AO system. They must be effectively corrected, especially when the AO system is implemented in astronomy or other fields for achieving high-performance imaging. Therefore, we proposed a sample but effective optimized focal-plane-based static aberration correction technique. The correction system is similar to the conventional AO system, except that only one lens and a single-mode fiber are temporarily added in the science image path for generating perfect reference point speared function (PSF). Since the existence of static aberration, any difference between the AO PSF and reference perfect PSF will be an indication of associated aberrations that need to be corrected. If the PSF of the AO system can be optimized to be the same as reference perfect PSF, aberration will be effectively corrected. For achieving this optimization result, the reference perfect PSF will be recorded in advance, and then iteration optimization algorithm will optimize the AO system’s PSF by directly controlling the deformable mirror (DM) with the model of reference PSF, which means copy the reference PSF to the AO system. In addition, we also designed new metrics functions for getting global optimization result rapidly and steadily. The laboratory experiments indicates that this proposed technique can successfully reduce the AO system’s root means square (RMS) from initial value of 109nm to final value of 7 nm and the Strehl Ratio (SR) can be raised from 0.305 to 0.995 accordingly. In conclusion, thte proposed optimized correction technique has the following advantages: 1) Correction system is easy to be deployed and can be flexibly implemented to different types of the AO systems that need extremely high-performance imaging in astronomy or other fields such as biology and medicine. 2) The hardware requirements of correction system are small, which means a low cost. Compared with the conventional AO system, only one more lens is needed temporarily in science image path and it will be removed after finishing correction. 3) The final correction performance is much better than traditional NCPA methods and the method we proposed in 2012, especially when the AO system has a large initial static wavefront error. 4) With the guidance of reference perfect PSF, the whole optimization speed is rapid and the global optimization will be achieved steadily, instead of trapping in local optimization result. This work is demonstrated to be a promising technique, it will be integrated into our coronagraph system for high-contrast imaging of exoplanets in our next study.

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    沈阳化工大学材料科学与工程学院 沈阳 110142

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