Straight to the Source: Detecting Aggregate Objects in Astronomical Images with Proper Error Control.
Straight to the Source: Detecting Aggregate Objects in Astronomical Images with Proper Error Control.
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DOI：
10.1080/01621459.2013.779829
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发表时间：
2013-07-01
影响因子：
3.7
通讯作者：
Genovese CR
中科院分区：
文献类型：
--
作者：
Friedenberg DA;Genovese CR
下一代望远镜将在未来10年内上线，每晚将获得数TB的图像数据。总的来说，这些大型图像将包含数十亿个有趣的物体，天文学家称之为源。天文学家的一个关键任务是从图像数据中构建一个详细的源目录，给出所有探测到的源的天空坐标和其他属性。源目录是大多数望远镜产生的主要数据产品，是建立和测试新天体物理学理论的研究的重要输入。为了构建一个准确的星表，必须首先在图像中检测到源。在天文学文献中存在各种有效的源检测算法，但很少有提供严格的误差率统计控制。在统计文献中存在各种各样的多重测试程序，可以对像素误差提供严格的误差控制，但这些并不能在源的水平上提供对误差的控制，而这正是天文学家所需要的。在本文中，我们提出了一种技术，是有效的源检测，同时提供严格的控制源明智的错误率。我们展示了我们的方法与数据从钱德拉X射线天文台卫星。我们的方法与现有的天文方法相比具有竞争力，甚至可以找到以前研究遗漏的两个新来源，同时提供更强的性能保证，并且不需要当前技术通常需要的昂贵的后续研究。
The next generation of telescopes, coming on-line in the next decade, will acquire terabytes of image data each night. Collectively, these large images will contain billions of interesting objects, which astronomers call sources. One critical task for astronomers is to construct from the image data a detailed source catalog that gives the sky coordinates and other properties of all detected sources. The source catalog is the primary data product produced by most telescopes and serves as an important input for studies that build and test new astrophysical theories. To construct an accurate catalog, the sources must first be detected in the image. A variety of effective source detection algorithms exist in the astronomical literature, but few if any provide rigorous statistical control of error rates. A variety of multiple testing procedures exist in the statistical literature that can provide rigorous error control over pixelwise errors, but these do not provide control over errors at the level of sources, which is what astronomers need. In this paper, we propose a technique that is effective at source detection while providing rigorous control on source-wise error rates. We demonstrate our approach with data from the Chandra X-ray Observatory Satellite. Our method is competitive with existing astronomical methods, even finding two new sources that were missed by previous studies, while providing stronger performance guarantees and without requiring costly follow up studies that are commonly required with current techniques.
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影响因子：
2.7
作者：
Benjamini, Yoav;Krieger, Abba M.;Yekutieli, Daniel
通讯作者：
Yekutieli, Daniel
DOI：
10.1111/1467-9868.00346
发表时间：
2002-01-01
影响因子：
5.8
作者：
Storey, JD
通讯作者：
Storey, JD
影响因子：
8.7
作者：
Luo, B.;Bauer, F. E.;Vignali, C.
通讯作者：
Vignali, C.
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y
影响因子：
3.7
作者：
Pacifico, MP;Genovese, C;Wasserman, L
通讯作者：
Wasserman, L