论文标题
不同类型的超新星宿主星系的本地和全局特性
The local and global properties of different types of supernova host galaxies
论文作者
论文摘要
通过使用Apache Point观测站附近星系(漫画)的数据分析管道(DAP)产品,该产品可从SDSS数据版本15公开获得,我们分析了SN爆炸位点和不同类型的SN宿主星系的全球性能的局部特性,以探索SNE不同类型的SNE爆炸环境。在我们的样本中,漫画视野中有67个SN主宿主星系,包括32型IA,29 ccsne,1个超流感SN(SLSN),1型I型和4种未分类的SNE类型,我们可以通过它们进行K-S测试进行分析和衍生的统计稳定结果。由于样本量有限,我们无法消除这项工作中的质量依赖性,这可能是本工作中介绍的属性趋势的真正驱动力。 SN IA宿主的全球恒星形成率(SFR)和EW(H $α$)平均低于CCSN宿主。 SN IA宿主星系为$ \ sim $ 0.3 DEX比CCSN宿主高,这意味着CCSNE与IA SNE型的数量比随着恒星宿主星系的增加而减小。 SN IA宿主星系的恒星人口年龄比CCSN宿主的年龄要古老。对于某些属性,不同类型的SN宿主之间没有显着差异,包括局部SFR密度($σ\ rm SFR $),局部和全球气相氧的丰度。对于我们样品中的大多数星系,从SN宿主的综合光谱中估计的全球气相氧丰度可以代表具有较小偏见的SN爆炸点的局部气相氧丰度。
By using Data Analysis Pipeline (DAP) products of Mapping Nearby Galaxies at Apache Point Observatory (MaNGA), which are publicly available from the SDSS Data Release 15, we analyze the local properties at the SN explosion sites and global properties of different types of SN host galaxies to explore the explosion environments of different types of SNe. In our sample, there are 67 SN host galaxies in the field of view of MaNGA, including 32 Type Ia, 29 CCSNe, 1 super-luminous SN (SLSN), 1 Type I and 4 unclassified type of SNe, with which we can perform the K-S test for analysis and derive statistically robust results. Due to the limited sample size, we couldn't remove the mass dependence in this work, which is likely the true driver of the trends for the properties presented in this work. The global star formation rate (SFR) and EW(H$α$) for SN Ia hosts is slightly lower than that for CCSN hosts on average. SN Ia host galaxies are $\sim$ 0.3 dex more massive than CCSN hosts, which implies that the number ratio of CCSNe to Type Ia SNe will decrease with the increasing of stellar mass of host galaxies. The stellar population age of SN Ia host galaxies is older than that of CCSN hosts on average. There is no significant difference between different types of SN hosts for some properties, including local SFR density ($Σ\rm SFR$), local and global gas-phase oxygen abundance. For most galaxies in our sample, the global gas-phase oxygen abundance estimated from the integrated spectra of SN hosts can represent the local gas-phase oxygen abundance at the SN explosion sites with small bias.