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FAST 19 波束接收器的 RFI 缓解管道的描述

Astronomy and Computing ( IF 1.927 ) Pub Date : 2022-03-23 , DOI: 10.1016/j.ascom.2022.100568

Y. Wang, Z. Zhang, H. Zhang, W. Zhu, D. Li, P. Wang

射频干扰（Radio Frequency Interference，RFI）是目前高灵敏度射电望远镜面临的普遍问题，随着其他人造无线电业务的发展，该问题越来越严重。空间过滤技术是由 Kocz 等人开发的。（2010b）从多波束接收器获取的数据中滤除常见的 RFI。在本文中，我们描述了一种基于空间滤波的 RFI 缓解管道，该管道采用非对称重加权惩罚最小二乘平滑 (ArPLS) 算法 (Baek et al., 2015)，并将其应用于使用 500 米孔径球形采集的数据射电望远镜 (FAST) 19 光束接收器。首先，我们使用 ArPLS 从每个光束的输入数据中估计和移除基线。其次，我们用 RFI 投影矩阵构造空间滤波器。第三，我们用优化的阈值标记受污染的数据。最后，将结果封装在一个掩码文件中，这是一种用于 RFI 掩码的格式磷R乙小号吨○. PSR J0528+2200 的数据证实了我们方法的有效性。Radio Frequency Interference (RFI) is currently a common problem faced by radio telescopes with high sensitivity, and it is getting worse with the development of other man-made radio services. Spatial filtering techniques are developed by Kocz et al. (2010b) to filter out the common RFI from the data taken by a multi-beam receiver. In this paper, we describe a spatial filtering based RFI mitigation pipeline with the Asymmetrically reweighted Penalized Least Squares smoothing (ArPLS) algorithm (Baek et al., 2015), and apply it to the data taken with the Five-hundred-meter Aperture Spherical radio Telescope (FAST) 19-beam receiver. Firstly, we use ArPLS to estimate and remove the baseline from the input data for each beam. Secondly, we construct the spatial filter with the RFI projection matrices. Thirdly, we flag the contaminated data with an optimized threshold. In the end, the results are encapsulated in a mask file, a format for RFI masks in PRESTO. The effectiveness of our method has been confirmed by the PSR J0528+2200’s data. Our method outperforms rfifind on true positive rate, it also supports parallelization and GPU acceleration. Our method is used to mitigate RFI in some FAST pulsar survey programs.

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