论文标题
自我校准和改善ALMA和其他无线电干涉仪的图像保真度
Self-calibration and improving image fidelity for ALMA and other radio interferometers
论文作者
论文摘要
本手册旨在通过识别限制以及如何克服它们以及决定何时以及如何使用自我校准来帮助Alma和其他干涉仪用户改善图像。使用标准观察和数据处理程序,包括质量保证过程,以确保观察结果满足提议者的科学要求,对ALMA Science档案馆提供的图像进行了校准。这可能不能代表数据的全部潜力,因为可以通过一系列分辨率和表面亮度灵敏度对任何干涉测量学观察。相位校准源和目标之间的分离通常会将目标动态范围限制为几百个(对于有挑战性的条件),但如果目标场中的噪声未达到热极限,则使用自校准可能会进行改进。这通常需要基于目标属性的判断,并且在所有情况下尚未自动化。本手册提供了可见性阶段和振幅误差的仪器和大气原因的背景,它们对成像的影响以及如何通过自我校准改善信号与噪声比和图像保真度。我们介绍了自我校准的条件是有用的,以及如何估算一系列观测模式(连续元素,光谱线等)的校准参数值。我们还总结了更通用的错误识别和其他解决成像问题的技术。这些示例来自使用CASA处理的ALMA干涉数据,但原理通常适用于与亚MM成像的最相似的CM。
This manual is intended to help ALMA and other interferometer users improve images by recognising limitations and how to overcome them and deciding when and how to use self-calibration. The images provided by the ALMA Science Archive are calibrated using standard observing and data processing routines, including a quality assurance process to make sure that the observations meet the proposer's science requirements. This may not represent the full potential of the data, since any interferometry observation can be imaged with a range of resolutions and surface brightness sensitivity. The separation between phase calibration source and target usually limits the target dynamic range to a few hundred (or 50--100 for challenging conditions) but if the noise in the target field has not reached the thermal limit, improvements may be possible using self-calibration. This often requires judgements based on the target properties and is not yet automated for all situations. This manual provides background on the instrumental and atmospheric causes of visibility phase and amplitude errors, their effects on imaging and how to improve the signal to noise ratio and image fidelity by self-calibration. We introduce the conditions for self-calibration to be useful and how to estimate calibration parameter values for a range of observing modes (continuum, spectral line etc.). We also summarise more general error recognition and other techniques to tackle imaging problems. The examples are drawn from ALMA interferometric data processed using CASA, but the principles are generally applicable to most similar cm to sub-mm imaging.