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arXiv 2602.06002astro-ph.IM
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方向依赖校准与图像域栅格化

Direction-dependent calibration with image-domain gridding

Netherlands Institute for Radio Astronomy (ASTRON)(荷兰射电天文研究所);University of Hamburg(汉堡大学)

Sebastiaan van der Tol, Sarod Yatawatta, Bram Veenboer, David Rafferty

AI总结:

本文提出利用图像域栅格化方法改进方向依赖校准,通过傅里叶空间中的子栅格基函数消除离散方向校准的阶梯状误差,提升图像质量。

摘要:

通过射电干涉仪制作的宽视场图像不可避免地受到方向依赖的系统性影响,例如电离层或天线束形。在天空中的一组离散方向上进行校准是估计和校正这些系统性误差的默认技术。然而,还需要额外的处理,如平滑和拼接,以弥合估计系统性误差在离散方向(面片)边缘的阶梯状变化。我们通过使用图像域栅格化作为校准模型来克服方向依赖校准的离散性。而不是在天空中使用离散方向,校准是通过在傅里叶空间中表示一组子栅格的基函数进行的。这自动消除了恢复宽视场系统性误差模型的额外操作需求,而无需任何不连续性。我们基于LOFAR数据提供了结果,其中比较了传统的基于面片(离散方向增益)校准与所提出的方法。比较显示图像质量得到改善,主要是因为所提出的方法在物理上更合理,而不是使用分段常数模型来处理方向依赖的系统性误差。

英文摘要:

Wide-field images made by radio interferometers are invariably affected by direction-dependent systematic effects such as the ionosphere or the beam pattern. Calibration along a set of discrete directions in the sky is the default technique to estimate and correct these systematic errors. However, additional processing such as smoothing and mosaicing are required to reconcile the step wise variation of the estimated systematic errors at the edges of the discrete directions (facets). We overcome the discrete nature of direction-dependent calibration by using image-domain gridding as the model for the calibration. Instead of discrete directions in the sky, calibration is performed using a basis that represents a set of sub-grids in the Fourier space. This automatically removes the need for extra operations to recover the wide-field systematics error model without any discontinuity. We provide results based on LOFAR data where we compare the traditional facet-based (discrete directional gains) calibration with the proposed approach. The comparison shows improved image quality, mainly because of the physical plausibility of the proposed approach as opposed to using a piecewise constant model for direction-dependent systematic errors.

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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