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Astrophysics > Cosmology and Nongalactic Astrophysics

arXiv:1611.02984v1 (astro-ph)
[Submitted on 9 Nov 2016 ]

Title: Search For Type Ia Supernova NUV-Optical Subclasses

Title: 寻找 Ia 型超新星的NUV-光学子类

Authors:David Cinabro, Daniel Scolnic, Richard Kessler, Ashley Li, Jake Miller
Abstract: In response to a recently reported observation of evidence for two classes of Type Ia Supernovae (SNe Ia) distinguished by their brightness in the rest-frame near ultraviolet (NUV), we search for the phenomenon in publicly available light-curve data. We use the SNANA supernova analysis package to simulate SN Ia-light curves in the Sloan Digital Sky Survey Supernova Search (SDSS) and the Supernova Legacy Survey (SNLS) with a model of two distinct ultraviolet classes of SNe Ia and a conventional model with a single broad distribution of SN-Ia ultraviolet brightnesses. We compare simulated distributions of rest-frame colors with these two models to those observed in 158 SNe Ia in the SDSS and SNLS data. The SNLS sample of 99 SNe Ia is in clearly better agreement with a model with one class of SN Ia light curves and shows no evidence for distinct NUV sub-classes. The SDSS sample of 59 SNe Ia with poorer color resolution does not distinguish between the two models.
Abstract: 针对最近报道的观测结果——即根据其静止框架近紫外(NUV)亮度区分出两类 Ia 型超新星(SNe Ia)的现象,我们搜索了公开可用的光变曲线数据以寻找这一现象。 我们使用 SNANA 超新星分析软件包,以两种不同的 Ia 型超新星紫外类别的模型和一个具有单一宽分布的传统模型,在斯隆数字巡天超新星搜寻(SDSS)和超新星遗产巡天(SNLS)中模拟 Ia 型超新星的光变曲线。 我们将这两种模型下模拟的静止框架颜色分布与 SDSS 和 SNLS 数据中的 158 个 Ia 型超新星的颜色分布进行了比较。 99 个 Ia 型超新星的 SNLS 样本显然更符合单一种类 Ia 型超新星光变曲线的模型,并且没有发现明显的 NUV 子类别的证据。 而 59 个 Ia 型超新星的 SDSS 样本由于较差的颜色分辨率无法区分这两种模型。
Comments: 8 pages, in review at MNRAS
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
Cite as: arXiv:1611.02984 [astro-ph.CO]
  (or arXiv:1611.02984v1 [astro-ph.CO] for this version)
  https://doi.org/10.48550/arXiv.1611.02984
arXiv-issued DOI via DataCite
Journal reference: MNRAS (2017) 466 (1): 884-891
Related DOI: https://doi.org/10.1093/mnras/stw3109
DOI(s) linking to related resources

Submission history

From: David Cinabro [view email]
[v1] Wed, 9 Nov 2016 15:42:46 UTC (489 KB)
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