单碟射电测绘的天网算法I：污染物清除、测绘和测光小尺度结构
Skynet Algorithm for Single-Dish Radio Mapping I: Contaminant-Cleaning, Mapping, and Photometering Small-Scale Structures
摘要：
我们提出了一个单碟映射算法与传统技术的一些优势。(1)我们的算法利用加权建模，而不是加权平均，信号测量之间的插值。这会平滑数据，但不会使数据模糊到仪器分辨率之外。依赖于加权平均模糊点源的技术有时高达40%。(2)我们的算法利用本地，而不是全球，建模分离天文信号从仪器和/或环境信号漂移沿望远镜的扫描。其他技术，如篮子编织，模型这种漂移与简单的功能形式（线性，二次等）。这限制了它们去除这些污染物的能力。(3)我们的算法利用类似的，本地建模技术，以分离天文信号的射频干扰（RFI），即使只有连续数据。(4)与其他技术不同，我们的算法不需要在处理之前在矩形网格上收集数据或重新网格化。(5)来自任何数量的观测的数据，无论是否重叠，都可以被附加在一起并一起处理。(6)可以为最终图像选择任何像素密度。我们提出了我们的算法，并使用模拟和真实数据进行评估。我们正在将其整合到天网机器人望远镜网络的图像处理库中，该网络包括跨越四大洲的光学望远镜，现在还包括位于西弗吉尼亚州的绿岸天文台的20米直径射电望远镜。天网为数百名专业用户提供服务，此外还有数万名各年龄段的学生。默认数据产品是动态生成的，但很快就可以在事后进行自定义。
英文摘要：
We present a single-dish mapping algorithm with a number of advantages over traditional techniques. (1) Our algorithm makes use of weighted modeling, instead of weighted averaging, to interpolate between signal measurements. This smooths the data, but without blurring the data beyond instrumental resolution. Techniques that rely on weighted averaging blur point sources sometimes as much as 40%. (2) Our algorithm makes use of local, instead of global, modeling to separate astronomical signal from instrumental and/or environmental signal drift along the telescope's scans. Other techniques, such as basket weaving, model this drift with simple functional forms (linear, quadratic, etc.) across the entirety of scans, limiting their ability to remove such contaminants. (3) Our algorithm makes use of a similar, local modeling technique to separate astronomical signal from radio-frequency interference (RFI), even if only continuum data are available. (4) Unlike other techniques, our algorithm does not require data to be collected on a rectangular grid or regridded before processing. (5) Data from any number of observations, overlapping or not, may be appended and processed together. (6) Any pixel density may be selected for the final image. We present our algorithm, and evaluate it using both simulated and real data. We are integrating it into the image-processing library of the Skynet Robotic Telescope Network, which includes optical telescopes spanning four continents, and now also Green Bank Observatory's 20-meter diameter radio telescope in West Virginia. Skynet serves hundreds of professional users, and additionally tens of thousands of students, of all ages. Default data products are generated on the fly, but will soon be customizable after the fact.
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。
