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arXiv 2409.04522astro-ph.HEastro-ph.SR
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年轻 Ib 型超新星的光谱数据集及其时间演化

Spectral dataset of young type Ib supernovae and their time evolution

N. Yesmin, C. Pellegrino, M. Modjaz, R. Baer-Way, D. A. Howell, I. Arcavi, J. Farah, D. Hiramatsu, G. Hosseinzadeh, C. McCully, M. Newsome, E. Padilla Gonzalez, G. Terreran, S. Jha

AI总结:

本文构建了八颗Ib型超新星的光谱数据集(含38条早期光谱),并生成SNID模板,使早期光谱数据量增加约60%,模板增加约43%,以改善年轻超新星的早期分类。

摘要:

由于高节奏的自动化巡天,我们现在可以在超新星(SNe)爆炸后几天内(甚至更早)探测并分类它们。年轻超新星的早期光谱直接探测抛射物的最外层,为理解前身星的剥离程度以及核坍缩超新星情况下的爆炸机制提供了见解。然而,许多超新星在早期表现出重叠的观测特征,使早期分类变得复杂。本文聚焦于 Ib 型超新星(SNe Ib)的研究与分类,它们是核坍缩超新星的一个子类,其光谱中缺乏强氢线但显示氦线。我们在此呈现一个包含八颗 SNe Ib 的光谱数据集,这些超新星被选中的标准是至少有三条峰前光谱,我们称之为早期光谱。我们的数据集主要由拉斯昆布雷斯天文台(LCO)获取,总计包含 82 条光学光球层光谱,其中包括 38 条早期光谱。该数据集使已发表的具有至少三条早期光谱的 SNe Ib 数量增加了约 60%。在分类工作中,我们使用了早期光谱以及峰值光度附近的光谱。我们还将光谱转换为超新星识别(SNID)模板,并将其提供给社区,以便更容易地识别年轻的 SNe Ib。我们的数据集使公开可用的 SNe Ib 早期光谱 SNID 模板数量增加了约 43%。我们样本中有一半的超新星类型随时间变化,或与瞬变源命名服务器(TNS)上列出的类型不同。我们讨论了我们的数据集和发现对当前及未来超新星巡天及其分类工作的影响。

英文摘要:

Due to high-cadence automated surveys, we can now detect and classify supernovae (SNe) within a few days after explosion, if not earlier. Early-time spectra of young SNe directly probe the outermost layers of the ejecta, providing insights into the extent of stripping in the progenitor star and the explosion mechanism in the case of core-collapse supernovae. However, many SNe show overlapping observational characteristics at early times, complicating the early-time classification. In this paper, we focus on the study and classification of type Ib supernovae (SNe Ib), which are a subclass of core-collapse SNe that lack strong hydrogen lines but show helium lines in their spectra. Here we present a spectral dataset of eight SNe Ib, chosen to have at least three pre-maximum spectra, which we call early spectra. Our dataset was obtained mainly by the Las Cumbres Observatory (LCO) and it consists of a total of 82 optical photospheric spectra, including 38 early spectra. This dataset increases the number of published SNe Ib with at least three early spectra by ~60%. For our classification efforts, we used early spectra in addition to spectra taken around maximum light. We also converted our spectra into SN IDentification (SNID) templates and make them available to the community for easier identification of young SNe Ib. Our dataset increases the number of publicly available SNID templates of early spectra of SNe Ib by ~43%. Half of our sample has SN types that change over time or are different from what is listed on the Transient Name Server (TNS). We discuss the implications of our dataset and our findings for current and upcoming SN surveys and their classification efforts.

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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