We present the first fully automated pipeline for making images from the interferometric data obtained from the upgraded Giant Metrewave Radio Telescope (uGMRT) called CAsa Pipeline-cum-Toolkit for Upgraded Giant Metrewave Radio Telescope data REduction - CAPTURE. It is a python program that uses tasks from the NRAO Common Astronomy Software Applications (CASA) to perform the steps of flagging of bad data, calibration, imaging and self-calibration. The salient features of the pipeline are: i) a fully automatic mode to go from the raw data to a self-calibrated continuum image, ii) specialized flagging strategies for short and long baselines that ensure minimal loss of extended structure, iii) flagging of persistent narrow band radio frequency interference (RFI), iv) flexibility for the user to configure the pipeline for step-by-step analysis or special cases and v) analysis of data from the legacy GMRT. CAPTURE is available publicly on github (this https URL, release v1.0.0). The primary beam correction for the uGMRT images produced with CAPTURE is made separately available at this https URL. We show examples of using CAPTURE on uGMRT and legacy GMRT data. In principle, CAPTURE can be tailored for use with radio interferometric data from other telescopes.

中文翻译：

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CAPTURE：用于 uGMRT 的连续成像管道

我们展示了第一个全自动管道，用于根据从升级的巨型米波射电望远镜 (uGMRT) 获得的干涉测量数据制作图像，称为 CAsa Pipeline-cum-Toolkit for Upgraded Giant Metrewave Radio Telescope data REduction - CAPTURE。它是一个 Python 程序，它使用来自 NRAO 通用天文软件应用程序 (CASA) 的任务来执行标记错误数据、校准、成像和自校准的步骤。管道的显着特点是：i）从原始数据到自校准连续图像的全自动模式，ii）用于确保扩展结构损失最小的短基线和长基线的特殊标记策略，iii）标记持续性窄带射频干扰 (RFI)，iv) 用户可以灵活地配置管道以进行逐步分析或特殊情况，以及 v) 分析来自传统 GMRT 的数据。CAPTURE 可在 github 上公开获得（此 https URL，发布 v1.0.0）。使用 CAPTURE 生成的 uGMRT 图像的主光束校正在此 https URL 上单独提供。我们展示了在 uGMRT 和传统 GMRT 数据上使用 CAPTURE 的示例。原则上，可以定制 CAPTURE 以与来自其他望远镜的射电干涉数据一起使用。