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An Eigenvector-Based Method of Radio Array Calibration and Its Application to the Tianlai Cylinder Pathfinder

机译:基于特征向量的无线电阵列标定方法及其在天圆柱定位仪中的应用

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We propose an eigenvector-based formalism for the calibration of radio interferometer arrays. In the presence of a strong dominant point source, the complex gains of the array can be obtained by taking the first eigenvector of the visibility matrix. We use the stable principle component analysis method to help separate outliers and noise from the calibrator signal to improve the performance of the method. This method can be applied with poorly known beam model of the antenna, is insensitive to outliers or imperfections in the data, and has low computational complexity. It thus is particularly suitable for the initial calibration of the array, which can serve as the initial point for more accurate calibrations. We demonstrate this method by applying it to the cylinder pathfinder of the Tianlai experiment, which aims to measure the dark energy equation of state using the baryon acoustic oscillation features in the large-scale structure by making intensity mapping observation of the redshifted 21 cm emission of the neutral hydrogen (H I ). The complex gain of the array elements and the beam profile in the east–west direction (short axis of the cylinder) are successfully obtained by applying this method to the transit data of bright radio sources.
机译:我们提出了一种基于特征向量的形式主义,用于无线电干涉仪阵列的校准。在存在强支点源的情况下,可以通过获取可见性矩阵的第一个特征向量来获得阵列的复数增益。我们使用稳定的主成分分析方法来帮助从校准器信号中分离离群值和噪声,以改善该方法的性能。该方法可以与天线的已知波束模型一起使用,对数据中的异常值或缺陷不敏感,并且计算复杂度低。因此,它特别适用于阵列的初始校准,可以用作更精确校准的初始点。我们通过将其应用于天来实验的圆柱探路器来演示该方法,该方法的目的是通过对红移的21 cm发射进行强度映射观察来使用大型结构中的重子声振荡特征来测量暗能量状态方程。中性氢(HI)。通过将该方法应用于明亮无线电源的传输数据,成功获得了阵列单元的复杂增益和东西向(圆柱短轴)的光束轮廓。

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