超新星巡天的宿主星系识别
宇宙学与河外天体物理
2016-11-15 v2 星系天体物理
摘要
宿主星系识别是现代超新星（SN）巡天（如暗能量巡天（DES）和大型综合巡天望远镜（LSST））的关键步骤，这些巡天将发现成千上万的 SNe。光谱资源有限，因此在缺乏实时 SN 光谱的情况下，这些巡天必须依赖宿主星系光谱来获取哈勃图所需的准确红移，并改进 SNe 的测光分类。此外，已知 SN 光度与宿主星系性质相关。因此，可靠的宿主星系识别对宇宙学和 SN 科学至关重要。我们模拟 SN 事件及其在宿主星系内的位置，以开发和测试将 SNe 与其宿主匹配的方法。我们分别使用来自先进巡天相机总星表（Advanced Camera for Surveys General Catalog）和 MICECATv2.0 的真实与模拟星系目录数据。我们还将居住在未被探测到的暗弱宿主中的“无宿主” SNe 纳入分析，假设无宿主率为 5%。我们的全自动化算法在目录数据上运行，以 91% 的准确率将 SNe 匹配到其宿主。我们发现，在初始匹配算法之后加入一个机器学习组件，将匹配的准确率（纯度）提高到 97%，代价是效率（真正率）降低 2%。尽管确切结果取决于巡天和所用星系目录的细节，我们此处概述的宿主星系识别方法可应用于任何瞬变源巡天。
引用
@article{arxiv.1604.06138,
title = {Host Galaxy Identification for Supernova Surveys},
author = {Ravi R. Gupta and Steve Kuhlmann and Eve Kovacs and Harold Spinka and Richard Kessler and Daniel A. Goldstein and Camille Liotine and Katarzyna Pomian and Chris B. D'Andrea and Mark Sullivan and Jorge Carretero and Francisco J. Castander and Robert C. Nichol and David A. Finley and John A. Fischer and Ryan J. Foley and Alex G. Kim and Andreas Papadopoulos and Masao Sako and Daniel M. Scolnic and Mathew Smith and Brad E. Tucker and Syed Uddin and Rachel C. Wolf and Fang Yuan and Tim M. C. Abbott and Filipe B. Abdalla and Aurelien Benoit-Levy and Emmanuel Bertin and David Brooks and Aurelio Carnero Rosell and Matias Carrasco Kind and Carlos E. Cunha and Luiz N. da Costa and Shantanu Desai and Peter Doel and Tim F. Eifler and August E. Evrard and Brenna Flaugher and Pablo Fosalba and Enrique Gaztanaga and Daniel Gruen and Robert Gruendl and David J. James and Kyler Kuehn and Nikolay Kuropatkin and Marcio A. G. Maia and Jennifer L. Marshall and Ramon Miquel and Andres A. Plazas and A. Kathy Romer and Eusebio Sanchez and Michael Schubnell and Ignacio Sevilla-Noarbe and Flavia Sobreira and Eric Suchyta and Molly E. C. Swanson and Gregory Tarle and Alistair R. Walker and William Wester},
journal= {arXiv preprint arXiv:1604.06138},
year = {2016}
}
备注
22 pages, 18 figures; Accepted by AJ, revised to incorporate referee comments