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arXiv 1507.00501astro-ph.IMcs.CV
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射电天文中甚大基阵的分布式图像重建

Distributed image reconstruction for very large arrays in radio astronomy

Laboratoire Joseph-Louis Lagrange(约瑟夫-路易·拉格朗日实验室);Université de Nice Sophia-Antipolis(尼斯索菲亚·安提波利斯大学);CNRS(法国国家科学研究中心);Observatoire de la Côte d’Azur(蔚蓝海岸天文台)

André Ferrari, David Mary, Rémi Flamary, Cédric Richard

摘要:

目前和未来的无线电干涉阵列,如LOFAR和SKA的特点是一个悖论。它们的大量受体(高达数百万)在理论上允许前所未有的高成像分辨率。同时,超大数量的样本使得数据传输和计算负载(相关性和校准)的数量级太高,以至于不允许任何当前现有的图像重建算法实现或甚至接近理论分辨率。我们在这里调查分散和分布式图像重建策略,选择,传输和处理的总数据的一小部分。所提出的方法所产生的MSE的损失进行了评估,理论和数值上简单的测试用例。

英文摘要:

Current and future radio interferometric arrays such as LOFAR and SKA are characterized by a paradox. Their large number of receptors (up to millions) allow theoretically unprecedented high imaging resolution. In the same time, the ultra massive amounts of samples makes the data transfer and computational loads (correlation and calibration) order of magnitudes too high to allow any currently existing image reconstruction algorithm to achieve, or even approach, the theoretical resolution. We investigate here decentralized and distributed image reconstruction strategies which select, transfer and process only a fraction of the total data. The loss in MSE incurred by the proposed approach is evaluated theoretically and numerically on simple test cases.

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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