We describe enhancements to the digest2 software, a short-arc orbit classifier for heliocentric orbits. Digest2 is primarily used by the Near-Earth Object (NEO) community to flag newly discovered objects for a immediate follow-up and has been a part of NEO discovery process for more than 15 yr. We have updated the solar system population model used to weight the digest2 score according to the 2023 catalog of known solar system orbits and extended the list of mean uncertainties for 140 observatory codes. Moreover, we have added Astrometry Data Exchange Standard (ADES) input format support to digest2, which provides additional information for the astrometry, such as positional uncertainties for each detection. The digest2 code was also extended to read the roving observer astrometric format as well as the ability to compute a new parameter from the provided astrometric uncertainties ( RMS′ ) that can serve as an indicator of in-tracklet curvature when compared with tracklet’s great-circle fit rms. Comparison with the previous version of digest2 confirmed the improvement in accuracy of NEO identification and found that using ADES XML input significantly reduces the computation time of the digest2.

中文翻译：

---

Digest2 NEO分类代码的改进——利用天体测量数据交换标准


我们描述了对digest2软件的增强，这是一种用于日心轨道的短弧轨道分类器。 Digest2 主要由近地天体 (NEO) 社区用来标记新发现的天体以便立即跟进，并且已成为 NEO 发现过程的一部分超过 15 年。我们根据2023年已知太阳系轨道目录更新了用于对digest2分数进行加权的太阳系总体模型，并扩展了140个观测站代码的平均不确定性列表。此外，我们还为digest2添加了天体测量数据交换标准（ADES）输入格式支持，它为天体测量提供了附加信息，例如每次检测的位置不确定性。摘要2代码还被扩展为读取流动观测者天体测量格式，以及根据提供的天体测量不确定性（RMS'）计算新参数的能力，该参数可以作为轨道内曲率的指标，与轨道的大圆相比适合均方根。与之前版本的digest2相比，证实了NEO识别准确性的提高，并发现使用ADES XML输入显着减少了digest2的计算时间。