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arXiv 1208.2479astro-ph.IM
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澳大利亚平方公里阵列探路者号的寻源

Source-finding for the Australian Square Kilometre Array Pathfinder

Matthew Whiting, Ben Humphreys

摘要:

澳大利亚平方公里阵列探路者(ASKAP)在源查找和编目领域提出了一些挑战。数据速率和图像大小非常大,并且需要在高性能计算环境中进行自动化处理。这需要开发新的工具,能够在这样的环境中运行,并能够可靠地处理大型数据集。这些工具还必须能够适应ASKAP将进行的不同类型的观测:连续成像、谱线成像、瞬态成像。ASKAP项目开发了一个名为Selavy的源查找器,它基于Duchamp源查找器(Whiting 2012)。Selavy包含了一些新的功能,我们在这里描述。由于大型图像和立方体的分布式处理将是必不可少的,我们描述了用于分配数据的算法,找到一个适当的阈值和搜索到该阈值,并形成最终的源目录。我们描述了用于定义一个不同的阈值,响应本地,而不是全球,噪声条件的算法,并提供其使用的例子。我们讨论的方法用于应用二维拟合检测到的源,使更准确的参数化。这些新功能的时序性能进行了比较,我们表明,它们对流水线处理的影响将是小的,增强算法提供了空间。本文还讨论了ASKAP源查找软件的开发过程。到ASKAP运行时,ASKAP科学界将通过调查科学项目为源查找管道提供重要内容,并介绍了实现这一目标的机制。

英文摘要:

The Australian Square Kilometre Array Pathfinder (ASKAP) presents a number of challenges in the area of source finding and cataloguing. The data rates and image sizes are very large, and require automated processing in a high-performance computing environment. This requires development of new tools, that are able to operate in such an environment and can reliably handle large datasets. These tools must also be able to accommodate the different types of observations ASKAP will make: continuum imaging, spectral-line imaging, transient imaging. The ASKAP project has developed a source-finder known as Selavy, built upon the Duchamp source-finder (Whiting 2012). Selavy incorporates a number of new features, which we describe here. Since distributed processing of large images and cubes will be essential, we describe the algorithms used to distribute the data, find an appropriate threshold and search to that threshold and form the final source catalogue. We describe the algorithm used to define a varying threshold that responds to the local, rather than global, noise conditions, and provide examples of its use. And we discuss the approach used to apply two-dimensional fits to detected sources, enabling more accurate parameterisation. These new features are compared for timing performance, where we show that their impact on the pipeline processing will be small, providing room for enhanced algorithms. We also discuss the development process for ASKAP source finding software. By the time of ASKAP operations, the ASKAP science community, through the Survey Science Projects, will have contributed important elements of the source finding pipeline, and the mechanisms in which this will be done are presented.

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