AI 中文总结
研究通过光学/数字协同设计方法优化孔径掩膜以减轻大气湍流对地面望远镜成像影响，利用简化假设降低计算成本，实现多帧近视算法联合估计相关参数，经模拟验证可进行满意的图像重建。
AI 中文摘要
孔径掩膜干涉测量法是一种最初用于减轻大气湍流对地面望远镜所记录图像影响的技术。在本通信中，我们通过光学/数字协同设计方法探索孔径掩膜的优化，以便获得通过湍流成像的相对明亮物体的衍射极限图像。我们表明，在一些简化假设下，无需实际计算任何图像，就可以将恢复图像的均方误差表示为所选掩膜、观测物体的空间功率谱密度和噪声水平的函数。这使我们能够以降低的计算成本优化孔径掩膜。我们还实现了一种多帧近视算法，以联合估计每个子孔径前的观测物体、活塞和倾斜，并通过模拟检查获得的孔径掩膜确实允许进行令人满意的图像重建。
英文摘要
Aperture masking interferometry is a technique originally designed to alleviate the influence of atmospheric turbulence on images recorded on ground-based telescopes. In this communication, we explore the optimization of the aperture mask by an optical/digital co-design approach in order to obtain diffraction-limited images of relatively bright objects imaged through turbulence. We show that, with a few simplifying assumptions, it is possible to express the Mean Square Error of the restored image as a function of the chosen mask, of the spatial Power Spectral Density of the observed object and of the noise level, without actually computing any image. This allows us to optimize the aperture mask with a reduced computing cost. We also implement a multi-frame myopic algorithm to estimate jointly the observed object, the piston and the tip-tilt in front of each sub-aperture, and check by simulations that the aperture masks obtained indeed allow a satisfactory image reconstruction.
Journal refAstronomical Telescopes + Instrumentation, SPIE, Jul 2026, Copenhague, Denmark
