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机构地区:[1]School of Automation,Nanjing Institute of Technology,Nanjing 210000,China [2]National Astronomical Observatories/Nanjing Institute of Astronomical Optics and Technology,CAS,Nanjing 210042,China [3]CAS Key Laboratory of Astronomical Optics and Technology,Nanjing Institute of Astronomical Optics and Technology,Nanjing 210042,China [4]University of Chinese Academy of Sciences,Beijing 100049,China
出 处:《Research in Astronomy and Astrophysics》2024年第11期153-166,共14页天文和天体物理学研究(英文版)
摘 要:Our Portable Adaptive Optics(PAO)system designed for high-contrast imaging of exoplanets with current 2-4 m class telescopes achieves a correction speed of nearly 1000 Hz,utilizing a Shack-Hartmann Wave Front Sensor(WFS)in a 9×9 sub-aperture configuration.As we look towards adapting the PAO system for larger telescopes,an increase in the number of sub-apertures in the WFS and enhanced precision in wave front detection are imperative.Originally programmed in LabVIEW,our initial PAO software is based on a traditional centroid calculation module for nighttime wave front sensing and lacks adaptive processing of background noise.To address these limitations and to boost the PAO system's performance and accuracy in wave front detection,we propose a compressive neural network(Th-Net)combined with a specialized hybrid parallel programming approach for wave front detection.Our experimental results indicate that this hybrid parallel technique and Th-Net significantly enhance the PAO system's operational speed and wave front detection precision under uneven background noise.This work paves the way so that a duplicable and low-cost PAO system can be used for direct imaging of exoplanets with large telescopes.
关 键 词:INSTRUMENTATION adaptive optics INSTRUMENTATION high angular resolution techniques image processing
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