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1.26m红外望远镜是一台由国家天文台和广州大学联合建设的望远镜系统,测光观测是该望远镜的重要观测手段之一。但当前一直存在数据处理周期较长、处理过程基本需要人工处理等问题。为了提高广州大学合作团队的数据处理能力,提出了一种面向1.26m红外望远镜半自动的测光处理管线,该管线在获取原始数据后,基于当日的观测记录重建FITS头文件信息,随后管线系统自动对图片进行预处理、定位目标星源、计算出目标星等相关操作,最后获得可利用的测光数据。这种方式高效、便捷,同时精度也得到了保证,它把当前主流测光模式中繁杂的、需要不断重复的步骤交由程序运行,从而节省了时间,显著提高了工作效率,解决了当前光学测光模式中图像数据的处理跟不上数据产出的大难题,满足了广大科研工作者的需求。 

The1.26m infrared optical telescope is a telescope system co-constructed by the National Astronomical Observatories and Guangzhou University. Photometry is one of the important means of the telescope observation. However, the data processing for observational data is a significant problem in current system. In order to speed upthe processing performance, in this paper, wepresents a semi-automatic photometric processing pipeline for the 1.2-meter infrared telescope. After obtaining the original data, the pipeline system would rebuild the FITS header information according to the observation log of the day. And then, all the FITS images would be processed automatically including searchingstar positions, calculating the grow line and FTHW of the stars, computing target magnitude and saving the final results. Thepipeline proposed in the study is efficient, convenient and accurate. It combined full complicated and repetitive steps in the current mainstream metering mode into the program so as to save unnecessary labor time, significantly improving work efficiency.