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arXiv 1206.0644astro-ph.IM
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星表匹配与天体测量改正及其在哈勃遗产档案中的应用

Catalog Matching with Astrometric Correction and its Application to the Hubble Legacy Archive

Tamas Budavari, Stephen H. Lubow

摘要:

天体测量校准中的不确定性常常使多次观测中的天体交叉识别变得复杂。由于缺乏标准参考对象,具有小视场的图像在其绝对定位中可能具有比内部检测到的源的相对精度大得多的误差。本文提出了一种新的相对天体测量的一般解,它能快速地精化重叠场的世界坐标系。通过在天球上使用不涉及三角函数的无穷小3-D旋转来获得效率。它们还使在进行天体测量校正的重要步骤中能够得到解析解。在具有许多重叠图像的情况下,难以确定跨不同图像匹配在一起的检测的正确识别。我们描述了一个新的贪婪贝叶斯方法,选择最好的对象匹配在大量的重叠图像。这些方法是在哈勃遗产档案中开发和演示的,这是当今最具挑战性的数据集之一。我们描述了一个新的目录汇编从许多哈勃太空望远镜的观测,在那里的检测被组合成一个可搜索的集合的匹配链接的个人检测。这些匹配提供了涉及多个波长和历元的天文物体的描述。在哈勃图像中,物体的相对位置精度很高,通常只有几毫角秒的亚像素精度。其结果是一组可靠的高质量协会,可在网上公开获得。

英文摘要:

Object cross-identification in multiple observations is often complicated by the uncertainties in their astrometric calibration. Due to the lack of standard reference objects, an image with a small field of view can have significantly larger errors in its absolute positioning than the relative precision of the detected sources within. We present a new general solution for the relative astrometry that quickly refines the World Coordinate System of overlapping fields. The efficiency is obtained through the use of infinitesimal 3-D rotations on the celestial sphere, which do not involve trigonometric functions. They also enable an analytic solution to an important step in making the astrometric corrections. In cases with many overlapping images, the correct identification of detections that match together across different images is difficult to determine. We describe a new greedy Bayesian approach for selecting the best object matches across a large number of overlapping images. The methods are developed and demonstrated on the Hubble Legacy Archive, one of the most challenging data sets today. We describe a novel catalog compiled from many Hubble Space Telescope observations, where the detections are combined into a searchable collection of matches that link the individual detections. The matches provide descriptions of astronomical objects involving multiple wavelengths and epochs. High relative positional accuracy of objects is achieved across the Hubble images, often sub-pixel precision in the order of just a few milli-arcseconds. The result is a reliable set of high-quality associations that are publicly available online.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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