一种不完整天文信号的去掩蔽方法--在近地天体工程CO多线成像中的应用
A Method for Unmasking Incomplete Astronomical Signals: Application to CO Multi-line Imaging of Nearby Galaxies Project
摘要：
光度测量以图像的形式提供了令人难以置信的大量天文信息。然而，天文图像通常包含人工制品，这些人工制品可以通过将强度歪曲或污染目录作为人造物体来严重阻碍科学分析。这些受影响的像素需要在任何数据减少管道中被屏蔽和处理。在本文中，我们提出了一个灵活的，迭代算法来恢复（揭露）天文图像的一些像素缺乏。利用野边山射电天文台45 m望远镜进行的CO-Multi-Line Imaging of Nearby Galeries（COMING）项目中的一些强度定标源图像，验证了该方法的应用。所提出的算法恢复伪影由于检测器的强度校准源图像中的错误。恢复的图像被用来校准调查中147个观测到的星系地图中的11个。测试表明，该算法可以恢复测量强度在1%以下的误差，即使是噪声图像（SNR = 2.4），尽管缺乏显着的一部分图像。我们提出的重建算法的制定，讨论其扩展到其他天文信号的可能性和局限性和COMING应用程序的结果。
英文摘要：
Photometric surveys have provided incredible amounts of astronomical information in the form of images. However, astronomical images often contain artifacts that can critically hinder scientific analysis by misrepresenting intensities or contaminating catalogs as artificial objects. These affected pixels need to be masked and dealt with in any data reduction pipeline. In this paper, we present a flexible, iterative algorithm to recover (unmask) astronomical images where some pixels are lacking. We demonstrate the application of the method on some intensity calibration source images in CO Multi-line Imaging of Nearby Galaxies (COMING) Project conducted using the 45m telescope at Nobeyama Radio Observatory (NRO). The proposed algorithm restored artifacts due to a detector error in the intensity calibration source images. The restored images were used to calibrate 11 out of 147 observed galaxy maps in the survey. The tests show that the algorithm can restore measured intensities at sub 1% error even for noisy images (SNR = 2.4), despite lacking a significant part of the image. We present the formulation of the reconstruction algorithm, discuss its possibilities and limitations for extensions to other astronomical signals and the results of the COMING application.
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