Robbie：一个用于无线电瞬变探测的批处理工作流andVariables
Robbie: A Batch Processing Work-flow for the Detection of Radio Transients andVariables
摘要：
我们提出了罗比：一个通用的工作流程的检测和表征的无线电变化和瞬态事件的图像域。Robbie旨在采用模块化设计在批处理模式中工作，以便组件可以更换或升级以适应不同的输入数据，同时保持一致和连贯的方法。Robbie基于常用的开放软件，并封装在Makefile中，以帮助可移植性和可重复性。在本文中，我们描述了Robbie背后的方法，并展示了其在真实和模拟数据上的使用。Robbie在GitHub上可用。
英文摘要：
We present Robbie: a general work-flow for the detection and characterization of radio variability and transient events in the image domain. Robbie is designed to work in a batch processing paradigm with a modular design so that components can be swapped out or upgraded to adapt to different input data, whilst retaining a consistent and coherent methodological approach. Robbie is based on commonly used and open software, and is encapsulated in a Makefile to aid portability and reproducibility. In this paper wedescribe the methodology behind Robbie, and demonstrate its use on real and simulated data. Robbie is available on GitHub.
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。
