arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2501.12922astro-ph.EPastro-ph.IM
收藏

FindPOTATOs:小行星观测关联软件

FindPOTATOs: Minor Planet Observation Linking Software

C. R. Nugent, Nicole J. Tan, James M. Bauer

AI总结:

本文介绍FindPOTATOs,一款Python编写的小行星观测关联软件,能在嘈杂数据中高效组装tracklet,适用于近地天体、海外天体及小型天文台数据,并详述其结构、用法与验证。

摘要:

为了使小行星观测数据能够被存档并供科学界使用,必须将单个天体的观测结果关联成称为“tracklet”(短弧观测序列)的组。这一关联过程并非易事,因为关联软件必须在合理时间内从嘈杂数据中找出真实的tracklet。我们介绍了FindPOTATOs,一款用Python编写的关联软件,能够组装小行星tracklet。在适当参数下,FindPOTATOs可为多种天体组装tracklet,包括近地天体(含近距离接近者)和海外天体(trans-Neptunian objects)。FindPOTATOs非常适合处理小型天文台采集的数据集、处理存档数据,或寻找轨道异常的小行星tracklet。本文描述了该软件的代码结构、使用方法及验证结果。

英文摘要:

For minor planet observations to be archived and used by the scientific community, observations of individual objects must be linked together into groups called tracklets. This linking is nontrivial, as linking software must find real tracklets in noisy data within a reasonable amount of time. We describe FindPOTATOs, a linking software written in Python that can assemble minor planet tracklets. With the appropriate parameters, FindPOTATOs assembles tracklets for a variety of objects, including close-approaching near-Earth objects and trans-Neptunian objects. FindPOTATOs is ideal for processing data sets taken at small observatories, processing archival data, or finding tracklets of minor planets on unusual orbits. This paper describes the code structure, usage, and validation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑