AIROPA III：测试模拟数据和空中数据
AIROPA III: Testing Simulated and On-Sky Data
摘要：
自适应光学图像从W。M.凯克天文台已经取得了许多有影响力的科学成果，包括探测多系统小行星，银河系中心的超大质量黑洞，以及直接成像的系外行星。具体来说，这些图像产生的精确和准确的天体测量被用来使用周围星团的轨道测量超大质量黑洞的质量。尽管取得了这些成功，但改进天体测量的主要障碍之一是仪器提供的点扩散函数的空间和时间可变性。AIROPA是一个软件包，利用点扩散函数拟合和点扩散函数重建技术对自适应光学图像进行天体测量和光度分析。在自适应光学点扩展函数重建中，利用仪器性能和大气湍流的知识来预测观测的长曝光点扩散函数。在本文中，我们提出了我们的测试结果，使用AIROPA模拟和对银河系中心的天空图像。我们发现，我们的方法是非常可靠的占仪器内部的静态像差，但它并没有显着提高天空的精度，可能是由于未校准的望远镜像差。
英文摘要：
Adaptive optics images from the W. M. Keck Observatory have delivered numerous influential scientific results, including detection of multi-system asteroids, the supermassive black hole at the center of the Milky Way, and directly imaged exoplanets. Specifically, the precise and accurate astrometry these images yield was used to measure the mass of the supermassive black hole using orbits of the surrounding star cluster. Despite these successes, one of the major obstacles to improved astrometric measurements is the spatial and temporal variability of the point-spread function delivered by the instruments. AIROPA is a software package for the astrometric and photometric analysis of adaptive optics images using point-spread function fitting together with the technique of point-spread function reconstruction. In adaptive optics point-spread function reconstruction, the knowledge of the instrument performance and of the atmospheric turbulence is used to predict the long-exposure point-spread function of an observation. In this paper we present the results of our tests using AIROPA on both simulated and on-sky images of the Galactic Center. We find that our method is very reliable in accounting for the static aberrations internal to the instrument, but it does not improve significantly the accuracy on sky, possibly due to uncalibrated telescope aberrations.
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