软件全息术：下一代天文台的干涉测量数据分析
Software Holography: Interferometric Data Analysis for the Challenges of Next Generation Observatories
摘要：
下一代射电观测站，如MWA、LWA、LOFAR、CARMA和SKA，为干涉测量数据分析带来了许多挑战。这些挑战包括异质阵列，方向相关的仪器增益，以及折射和湍流大气条件。从分析的角度来看，这意味着不能使用每个天线的单个复增益来描述校准解决方案。在本文中，我们使用的最佳地图制作的形式主义CMB分析扩展传统的干涉无线电分析技术-删除一个单一的复杂的增益每个天线的假设，并允许更完整的描述的仪器和大气条件。由于与无线电天线表面的全息映射的相似性，我们称这种扩展的分析方法为软件全息。由此产生的分析算法是计算效率高，无偏，最佳敏感。我们将展示如何使用软件全息来解决下一代观测的一些挑战，以及如何将更熟悉的分析技术作为限制情况导出。
英文摘要：
Next generation radio observatories such as the MWA, LWA, LOFAR, CARMA and SKA provide a number of challenges for interferometric data analysis. These challenges include heterogeneous arrays, direction-dependent instrumental gain, and refractive and scintillating atmospheric conditions. From the analysis perspective, this means that calibration solutions can not be described using a single complex gain per antenna. In this paper we use the optimal map-making formalism developed for CMB analyses to extend traditional interferometric radio analysis techniques--removing the assumption of a single complex gain per antenna and allowing more complete descriptions of the instrumental and atmospheric conditions. Due to the similarity with holographic mapping of radio antenna surfaces, we call this extended analysis approach software holography. The resulting analysis algorithms are computationally efficient, unbiased, and optimally sensitive. We show how software holography can be used to solve some of the challenges of next generation observations, and how more familiar analysis techniques can be derived as limiting 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。
