基于Python的自动测光程序设计与实现  

Design and Implementation of Automatic Photometry Program Based on Python

作　　者：袁慧宇[1] 赵娟[2] 杨远贵[2] Yuan Huiyu;Zhao Juan;Yang Yuangui(College of Information,Huaibei Normal University,Huaibei 235000,China;Huaibei Normal University,Huaibei 235000,China)

机构地区：[1]淮北师范大学信息学院,安徽淮北235000 [2]淮北师范大学,安徽淮北235000

出　　处：《天文研究与技术》2023年第2期173-178,共6页Astronomical Research & Technology

基　　金：国家自然科学基金(11873003);安徽省自然科学基金(KJ2019A0954)资助.

摘　　要：本文基于Python设计和实现自动测光程序。首先扫描文件名实现文件分类;然后进行数据检查、预处理与孔径测光,并保存测光数据;最终由观测者指定目标星与比较星,程序从测光结果中提取相应星等与观测时间等数据,获得基于较差测光法的光变曲线。为解决数据提取中星图匹配问题,提出自动追踪移动目标的基于向量特征星图匹配算法,能自动匹配偏移较大的星图,并跟踪不断移动的小行星。使用本程序分别处理双星和小行星观测数据,并与IRAF(Image Reducation and Analysis Facility)测光结果比较,测光结果最大偏差分别为0.04 mag和0.043 mag,标准偏差分别为±0.005 mag和±0.007 mag。This paper designs an automatic photometry program based on Python.Firstly,it scans the file name to achieve file classification;Then,it preforms data inspection,preprocessing,aperture photometry,and save the photometric results;Finally,after the observer specifying the target star and comparison star,the program extracts the corresponding magnitude and observation time from the photometric results to obtain the light curve based on the differential photometric method.In order to solve the problem of image matching in data extraction,an improved image matching algorithm based on vector features is proposed to automatically track moving objects,which can match the image with large offset and track the moving asteroids.The program is used to reduce the observational data of binary and asteroid respectively.Comparing the photometric results of this program with those of IRAF,the maximum deviations of photometry results are 0.04 and 0.043 mag respectively,and the standard deviations are±0.005 and±0.007 mag respectively.

关 键 词：自动测光 较差测光 星像匹配 小行星跟踪 

分 类 号：T391.41[一般工业技术]