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Exo-MerCat v2.0.0:系外行星合并目录软件的更新与开源发布

Exo-MerCat v2.0.0: updates and open-source release of the Exoplanet Merged Catalog software

Eleonora Alei, Silvia Marinoni, Andrea Bignamini, Riccardo Claudi, Marco Molinaro, Martina Vicinanza, Serena Benatti, Ilaria Carleo, Avi Mandell, Franziska Menti, Angelo Zinzi

AI总结:

针对系外行星数据库资源范围与符号各异的问题,本研究发布开源升级软件Exo-MerCat v2.0.0,新增输入源、优化查询与合并逻辑等,显著提升样本完整性与准确性。

摘要:

系外行星研究处于当代天文学研究的前沿。随着越来越多系外行星被发现和验证,数据库与目录被构建以收集相关信息。科学家可利用多种资源实现此目的,但每种资源的范围和符号系统各不相同。在Alei等人(2020)的研究中,我们介绍了Exo-MerCat——一款从多源收集信息并生成同质化表格的脚本。本手稿宣布发布Exo-MerCat v2.0.0脚本,该版本是经过升级、测试、文档化的开源软件,用于生成目录。脚本的主要升级包括:1)新增TESS输入目录(TESS Input Catalog)和K2输入目录(K2 Input Catalog)作为输入源;2)优化主标识符查询;3)将输入源条目更复杂地合并到最终目录中;4)若干体验优化,如信息标志、更友好的列标题和日志文件;5)将代码重构为模块。我们比较了Exo-MerCat v2.0.0与旧版本的性能,发现由于新增输入源,样本完整性显著提升;同时,得益于脚本优化,准确性也有所提高。

英文摘要:

Exoplanet research is at the forefront of contemporary astronomy recommendations. As more and more exoplanets are discovered and vetted, databases and catalogs are built to collect information. Various resources are available to scientists for this purpose, though every one of them has different scopes and notations. In Alei et al. (2020) we described Exo-MerCat, a script that collects information from multiple sources and creates a homogenized table. In this manuscript, we announce the release of the Exo-MerCat v2.0.0 script as an upgraded, tested, documented and open-source software to produce catalogs. The main upgrades on the script concern: 1) the addition of the TESS Input Catalog and the K2 Input Catalog as input sources; 2) the optimization of the main identifier queries; 3) a more complex merging of the entries from the input sources into the final catalog; 4) some quality-of-life improvements such as informative flags, more user-friendly column headers, and log files; 5) the refactoring of the code in modules. We compare the performance of Exo-MerCat v2.0.0 with the previous version and notice a substantial improvement in the completeness of the sample, thanks to the addition of new input sources, and its accuracy, because of the optimization of the script.

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。

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