论文标题
部分可观测时空混沌系统的无模型预测
galstreams: A Library of Milky Way Stellar Stream Footprints and Tracks
论文作者
论文摘要
迄今为止，已经发现了将近一百个恒星溪流，而且数字的增长速度不断提高。在这里，我们介绍了Galstreams库，即近一百（95）个银河恒星流的角度位置，距离，正确运动和径向速度轨道数据的汇编。文献中发表的信息已以一致的格式进行整理和匀浆，并用于提供一组在整个库中均匀计算的功能：例如流长度，端点，平均极点，流的坐标框架，多边形足迹以及极和角动量轨道。我们还使用汇编的信息来分析整个图书馆中几个可观察到的分布，并评估在单个恒星流的表征中发现主要缺陷的位置，作为未来后续工作的资源。该图书馆旨在促进跟踪新发现，并鼓励使用自动化方法来表征和研究已知恒星流的集合，以作为起点。该图书馆可公开作为Python包装，并在Galstreams GitHub存储库中提供。
Nearly a hundred stellar streams have been found to date around the Milky Way and the number keeps growing at an ever faster pace. Here we present the galstreams library, a compendium of angular position, distance, proper motion and radial velocity track data for nearly a hundred (95) Galactic stellar streams. The information published in the literature has been collated and homogenised in a consistent format and used to provide a set of features uniformly computed throughout the library: e.g. stream length, end points, mean pole, stream's coordinate frame, polygon footprint, and pole and angular momentum tracks. We also use the information compiled to analyse the distribution of several observables across the library and to assess where the main deficiencies are found in the characterisation of individual stellar streams, as a resource for future follow-up efforts. The library is intended to facilitate keeping track of new discoveries and to encourage the use of automated methods to characterise and study the ensemble of known stellar streams by serving as a starting point. The library is publicly available as a Python package and served at the galstreams GitHub repository.
