AstroDART: Astronomical Data Analysis and Recovery from Tracklets

Joaquín G. López-Cepero
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Abstract

AstroDART is a Python package that implements a pipeline for processing, analyzing, and managing files derived from observations performed by ground-based optical telescopes. The main goal is to develop a software capable of retrieving information about satellites’ tracklets. In between its functionalities the following are included: perform astrometric reduction using Astrometry.net, detect tracklets using contour tracing techniques with ASTRiDE Python Package, refine the detected tracklets and perform telescope calibration by comparing the observations of known objects with catalogue data and obtaining the celestial coordinates of the object at the observation epoch. In addition, it produces the light curve and TDM files derived from the observations. The computation times are in the order of 15 s per image when no astrometric reduction is performed, increased to 50 s when the astrometric reduction and light curve analysis are included. The average residuals for both right ascension and declination are found to be lower than 9 arcsecs for all of the three test campaigns.

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AstroDART:轨道数据分析和恢复
AstroDART是一个Python包,它实现了一个管道,用于处理、分析和管理来自地面光学望远镜观测的文件。主要目标是开发一种能够检索卫星轨迹信息的软件。在其功能之间,包括:使用Astrometry.net执行天体测量约简,使用ASTRiDE Python Package使用轮廓跟踪技术检测轨道,通过将已知物体的观测与目录数据进行比较来改进检测到的轨道并执行望远镜校准,并获得物体在观测历元的天体坐标。此外,它还产生了由观测得到的光曲线和TDM文件。在不进行天体化简的情况下,计算时间约为每张图像15 s,在进行天体化简和光曲线分析时,计算时间增加到每张图像50 s。三次试验的赤经赤纬平均残差均小于9弧。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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