在暗能量光谱仪中搜索Ia型超新星
Searching for Type Ia Supernovae in the Dark Energy Spectroscopic Instrument
- University of Science and Technology of China（中国科学技术大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究结合PCA、LOF和SNID工具，在DESI DR1的175万余条星系光谱中搜索Ia型超新星，最终发现247颗Ia型及17颗其他类型超新星，其中202颗为新发现，展示了多目标光谱巡天补充超新星样本的潜力。
AI中文摘要：
随着大规模光度巡天的发展，越来越多的超新星候选体被发现，导致对超新星光谱的需求迅速增长。除了为光度巡天配备后续光谱观测设施外，还可以挖掘大型多目标光谱巡天的档案光谱，为候选体提供光谱分类，并发现以往巡天遗漏的超新星。在本工作中，我们结合主成分分析（PCA）、局部异常因子（LOF）算法以及超新星分类工具SNID，在暗能量光谱仪（DESI）数据发布1（DR1）的1,757,303条星系光谱中搜索Ia型超新星。我们最终获得了247颗Ia型超新星和17颗其他类型的超新星。其中，202颗超新星在瞬变源命名服务器（TNS）中缺乏分类记录，属于新发现的超新星。这些结果展示了多目标光谱巡天在补充超新星样本方面的潜力，特别是对于传统光度巡天遗漏的瞬变源。
英文摘要：
With the development of large-scale photometric surveys, an increasing number of supernova candidates are being discovered, leading to a rapidly growing demand for supernova spectra. In addition to equipping photometric surveys with follow-up spectroscopic facilities, archival spectra from large multi-object spectroscopic surveys can be mined to provide spectroscopic classifications for candidates and to find supernovae missed by previous surveys. In this work, we combine Principal Component Analysis (PCA), the Local Outlier Factor (LOF) algorithm, and the supernova classification tool SNID to search for Type Ia supernovae among 1,757,303 galaxy spectra from the Dark Energy Spectroscopic Instrument (DESI) Data Release 1 (DR1). We finally obtain 247 Type Ia supernovae and 17 supernovae of other types. Among these, 202 supernovae lack classification records in the Transient Name Server (TNS) and represent newly identified SNe. These results demonstrate the potential of multi-object spectroscopic surveys to supplement supernova samples, particularly for transients missed by traditional photometric surveys.
