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作 者:邹乾一 王炜 郑捷 毛益明 ZOU Qian-yi;WANG Wei;ZHENG Jie;MAO Yi-ming(Key Laboratory of Optical Astronomy,National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China;School of Astronomy and Space Science,University of Chinese Academy of Sciences,Beijing 100049,China;College of Science,Tibet University,Lhasa,850000,China)
机构地区:[1]中国科学院国家天文台光学天文重点实验室,北京100101 [2]中国科学院大学天文与空间科学学院,北京100049 [3]西藏大学理学院,拉萨850000
出 处:《天文学进展》2024年第3期551-560,共10页Progress In Astronomy
基 金:国家自然科学基金(11988101,42075123)。
摘 要:对变星、太阳系外行星等瞬变源的巡天监测产生了大量的图像数据。快速处理这些数据,生成光变曲线,探测瞬变源对时域天文学的发展非常重要。以中国科学院国家天文台兴隆观测站拥有的一批米级光学望远镜为适用对象,开发了一套图像数据自动化处理与光变曲线抽取程序PPCLP,它能够批处理原始图像并输出归一化较差测光光变曲线。程序拥有模块化、通用化、易使用化的特点,适用于多种操作系统,且使用了改进的较差测光方法,能获得较高的较差测光精度。除适用于赤道式望远镜外,也可用于处理由地平式望远镜获得的未经像场改正的数据。文章首先详细介绍了程序的架构、特点、使用方法;然后以变星V670 And的数据为例,展示了程序的处理结果;最后讨论了其局限性与后续发展方向。The monitoring of transient sources such as variable stars and extrasolar planets yields a significant volume of imaging data.Timely reduction of the data,producing light curves and triggering transient event are pivotal for advancing research in this field.Focusing on a group of meter-class optical telescopes located at the Xinglong Observatory of the National Astronomical Observatories of Chinese Academy of Science,an automatic pipeline to reduce time-series raw images and generating normalized differential photometric light curves named PPCLP is built and introduced in this paper.The program is modular,universal,and easy to use,making it adaptable across various operating systems.Employing an improved differential photometric method,PPCLP achieves a differential photometric accuracy of 10−3.In addition to its compatibility with equatorial telescopes,PPCLP seamlessly processes field-uncorrected images acquired from altazimuth telescopes.The components,features,and usage of the program are described in detail in this paper.A brief introduction on how to use the program is presented using the data obtained from the 60 CM Telescope at the Xinglong Observatory for the variable star V670 And.Lastly,this paper discusses the limitations of the program and outlines potential avenues for future development.
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