作为全球多共轭自适应光学测试案例的Chandra深场南方
The Chandra Deep Field South as a test case for Global Multi Conjugate Adaptive Optics
摘要：
下一代巨型望远镜的时代不仅需要新技术的出现，而且需要开发新的方法，以充分利用它们的非凡潜力。全球多共轭自适应光学（GMCAO）追求这种方法，其目标是在几个弧分的视场内实现良好的性能并增加天空覆盖范围。在这篇文章中，我们展示了这种技术提供的天体物理学应用，如光度测量策略应用于钱德拉深场南部作为一个案例研究的增益。我们用一台40米级的望远镜模拟了一个500 x 500 arcsec^2的河外深场的接近真实的观测，该望远镜实现了GMCAO。我们分析了6000个高红移（z = 2.75）星系的模拟K波段图像，好像它们是真实的，以恢复初始输入参数。我们使用SEXTRACTOR进行的放射源检测完成率达到94.5%。我们还测量了所有源的形态参数与二维拟合工具GALFIT。我们发现恢复和内在参数之间的协议表明GMCAO作为一个可靠的方法，以协助极大的望远镜（ELT）观测河外的利益。
英文摘要：
The era of the next generation of giant telescopes requires not only the advent of new technologies but also the development of novel methods, in order to exploit fully the extraordinary potential they are built for. Global Multi Conjugate Adaptive Optics (GMCAO) pursues this approach, with the goal of achieving good performance over a field of view of a few arcmin and an increase in sky coverage. In this article, we show the gain offered by this technique to an astrophysical application, such as the photometric survey strategy applied to the Chandra Deep Field South as a case study. We simulated a close-to-real observation of a 500 x 500 arcsec^2 extragalactic deep field with a 40-m class telescope that implements GMCAO. We analysed mock K-band images of 6000 high-redshift (up to z = 2.75) galaxies therein as if they were real to recover the initial input parameters. We attained 94.5 per cent completeness for source detection with SEXTRACTOR. We also measured the morphological parameters of all the sources with the two-dimensional fitting tools GALFIT. The agreement we found between recovered and intrinsic parameters demonstrates GMCAO as a reliable approach to assist extremely large telescope (ELT) observations of extragalactic interest.
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