论文标题
CASA关于边缘的CASA - 开发CASA的VLBI处理能力
CASA on the fringe -- Development of VLBI processing capabilities for CASA
论文作者
论文摘要
处理非常长的基线干涉法（VLBI）数据的新功能已在CASA软件包中实现。这包括两个新任务来处理条纹拟合和VLBI特异性振幅校准步骤。已经调整了现有任务以正确处理VLBI可见性数据和校准元数据。通过这些更新，现在可以处理CASA中的VLBI连续体和光谱线观测值。本文介绍了开发和实施，并在CASA中校准欧洲VLBI网络或很长的基线阵列数据时介绍了工作流程的轮廓。尽管CASA VLBI功能已经作为事件Horizon望远镜数据处理的一部分进行了广泛审查，但在本文中，我们比较了在CASA和AIPS中处理的相同数据集的结果。我们发现这两个软件包的结果相同，并得出结论，在某些情况下，CASA的性能更好，尽管它与单核处理时间无法匹配AIP。 CASA中的新功能可以轻松地开发管道或Jupyter笔记本电脑，因此有助于将VLBI数据处理提高到当今的标准，以供可访问性，可重复性和可重复使用。
New functionality to process Very Long Baseline Interferometry (VLBI) data has been implemented in the CASA package. This includes two new tasks to handle fringe fitting and VLBI-specific amplitude calibration steps. Existing tasks have been adjusted to handle VLBI visibility data and calibration meta-data properly. With these updates, it is now possible to process VLBI continuum and spectral line observations in CASA. This article describes the development and implementation, and presents an outline for the workflow when calibrating European VLBI Network or Very Long Baseline Array data in CASA. Though the CASA VLBI functionality has already been vetted extensively as part of the Event Horizon Telescope data processing, in this paper we compare results for the same dataset processed in CASA and AIPS. We find identical results for the two packages and conclude that CASA in some cases performs better, though it cannot match AIPS for single-core processing time. The new functionality in CASA allows for easy development of pipelines or Jupyter notebooks, and thus contributes to raising VLBI data processing to present day standards for accessibility, reproducibility, and reusability.
