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arXiv 1301.0633astro-ph.IMcs.CEstat.AP
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无线电干涉仪方向相关自校准的改进--重复校准

Clustered Calibration: An Improvement to Radio Interferometric Direction Dependent Self-Calibration

Sanaz Kazemi, Sarod Yatawatta, Saleem Zaroubi

摘要:

LOFAR和SKA等新一代无线电合成阵列的设计在灵敏度、角分辨率和频率覆盖范围方面都超过了现有阵列。这种演变导致了先进的校准技术的发展,确保以尽可能低的计算成本提供准确的结果。然而,这种校准技术的性能仍然受到天空中用作校准器的紧凑明亮光源的限制。为了在校准中获得令人满意的结果,重要的是要有一个足够明亮的光源,该光源与背景噪声水平很好地区分开。我们提出“集群校准”作为传统的无线电干涉校准的修改,以适应微弱的源,几乎低于背景噪声水平到校准过程中。其主要思想是利用亮光源的测量信号信息来辅助校准亮光源附近的较暗光源。在我们没有足够亮的源的情况下,源集群可以充当可以与背景噪声区分开的亮源。我们构建了一些源集群假设属于一个单一的集群的源的信号被破坏几乎相同的错误,每个集群被校准作为一个单一的源,同时使用其源的组合相干性。这通过其集群的有效功率来提升单个微弱源的功率。我们给出了聚类校准的性能分析,显示这种方法相比传统的非聚类校准的优越性。我们还提供了分析标准,以有效的方式为给定的观察选择最佳的集群数量。

英文摘要:

The new generation of radio synthesis arrays, such as LOFAR and SKA, have been designed to surpass existing arrays in terms of sensitivity, angular resolution and frequency coverage. This evolution has led to the development of advanced calibration techniques that ensure the delivery of accurate results at the lowest possible computational cost. However, the performance of such calibration techniques is still limited by the compact, bright sources in the sky, used as calibrators. It is important to have a bright enough source that is well distinguished from the background noise level in order to achieve satisfactory results in calibration. We present "clustered calibration" as a modification to traditional radio interferometric calibration, in order to accommodate faint sources that are almost below the background noise level into the calibration process. The main idea is to employ the information of the bright sources' measured signals as an aid to calibrate fainter sources that are nearby the bright sources. In the case where we do not have bright enough sources, a source cluster could act as a bright source that can be distinguished from background noise. We construct a number of source clusters assuming that the signals of the sources belonging to a single cluster are corrupted by almost the same errors, and each cluster is calibrated as a single source, using the combined coherencies of its sources simultaneously. This upgrades the power of an individual faint source by the effective power of its cluster. We give performance analysis of clustered calibration to show the superiority of this approach compared to the traditional unclustered calibration. We also provide analytical criteria to choose the optimum number of clusters for a given observation in an efficient manner.

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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