论文标题

伯克利超新星IA计划:247型IA Supernovae的637个光谱的数据发布

Berkeley Supernova Ia Program: Data Release of 637 Spectra from 247 Type Ia Supernovae

论文作者

Stahl, Benjamin E., Zheng, WeiKang, de Jaeger, Thomas, Brink, Thomas G., Filippenko, Alexei V., Silverman, Jeffrey M., Cenko, S. Bradley, Clubb, Kelsey I., Graham, Melissa L., Halevi, Goni, Kelly, Patrick L., Kleiser, Io, Shivvers, Isaac, Yuk, Heechan, Cobb, Bethany E., Fox, Ori D., Kandrashoff, Michael T., Kong, Jason J., Mauerhan, Jon C., Wang, Xianggao, Wang, Xiaofeng

论文摘要

我们在2009年至2018年之间由伯克利超新星IA计划(BSNIP)收集的637个低红移光谱,几乎完全是在Lick observatory的Shane 3〜M望远镜上的Kast双光谱仪。我们描述了我们的自动光谱分类方案,并到达最终的626个光谱(共242个对象),这些光谱被明确归类为属于IA型超新星(SNE〜IA)。其中,有70个30个对象的光谱被归类为光谱奇特(即,与“正常” SNE〜IA的光谱特征不匹配)和79 sne〜IA(由328个光谱覆盖)具有互补的光度覆盖范围。我们最后一组中的中间SN具有一个光谱时期,红移为0.0208(低点为0.0007,高度为0.1921),在最大光最大光后首先观察到光谱上的光谱。组成光谱具有高质量,中位信噪比为31.8像素$^{ - 1} $,并且具有广泛的波长覆盖范围,$ \ sim 95 \%$覆盖至少3700--9800〜。我们分析了我们的数据集,重点介绍了在可用的早期和晚期光谱中突出光谱特征的演变的定量测量(例如,速度,伪等效宽度)。这些数据可用于社区,我们鼓励未来的研究将我们的光谱纳入他们的分析中。

We present 637 low-redshift optical spectra collected by the Berkeley Supernova Ia Program (BSNIP) between 2009 and 2018, almost entirely with the Kast double spectrograph on the Shane 3~m telescope at Lick Observatory. We describe our automated spectral classification scheme and arrive at a final set of 626 spectra (of 242 objects) that are unambiguously classified as belonging to Type Ia supernovae (SNe~Ia). Of these, 70 spectra of 30 objects are classified as spectroscopically peculiar (i.e., not matching the spectral signatures of "normal" SNe~Ia) and 79 SNe~Ia (covered by 328 spectra) have complementary photometric coverage. The median SN in our final set has one epoch of spectroscopy, has a redshift of 0.0208 (with a low of 0.0007 and high of 0.1921), and is first observed spectroscopically 1.1 days after maximum light. The constituent spectra are of high quality, with a median signal-to-noise ratio of 31.8 pixel$^{-1}$, and have broad wavelength coverage, with $\sim 95\%$ covering at least 3700--9800~Å. We analyze our dataset, focusing on quantitative measurements (e.g., velocities, pseudo-equivalent widths) of the evolution of prominent spectral features in the available early-time and late-time spectra. The data are available to the community, and we encourage future studies to incorporate our spectra in their analyses.

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