论文标题
通过交叉分析表面亮度和哈勃残差，低红移IA型IA超新星测量中的系统偏差
Probing Systematic Bias in Low-Redshift Type Ia Supernova Measurements by Cross Analyzing Surface Brightness and Hubble Residuals
论文作者
论文摘要
对于过去十年中几个宇宙学分析中使用的IA型IA型超新星（SN IA）样品的低偏移（Z <0.1），我们通过寻找表面亮度（SB）测量和哈勃残基（HR）之间的相关性来探测系统的偏见。对于292 sne ia，我们从公开可用的泛星（PS1）图像的SN IA位置测量SB。哈勃残留物来自最近的两个低Z sne IA的测量值，这些测量与PS1足迹重叠：1）DES 3年宇宙学分析，120个与哈佛大学的天文学调查中心重叠的Low-Z Sne IA，并与PS1单位coppe pss Spepope contuftia contundia contundia contundia contuctia，以及2）与PS1单位分析，以及172 s sapope sapope sapope prosplats in-172超新星调查。这项研究是由以前关于明亮星系瞬态异常效率低下和通量散射的报道激励的。我们比较了SB分布的明亮和微弱半分布的HR分布：平均HR值不同，Delta HR = 0.031 +-0.018，在2 Sigma水平上没有差异。我们还对明亮和微弱的半HR分布进行了Kolmogorov-Smirnov（KS）测试，并得出结论，这两个分布在统计上与KS P值为0.07一致。但是，如果对较大数据集的未来研究发现具有很高意义的Delta HR〜0.03，则这种差异将是测量状态的暗能量方程的领先系统不确定性，w。
For low-redshift (z < 0.1) Type Ia supernovae (SN Ia) samples used in several cosmological analyses over the past decade, we probe for systematic bias by looking for correlations between surface brightness (SB) measurements and Hubble residuals (HR). For 292 SNe Ia, we measure SB at the location of the SN Ia from publicly available Pan-STARRS (PS1) images. The Hubble residuals are from two recent measurements with low-z SNe Ia that overlap the PS1 footprint: 1) the DES 3-year cosmology analysis, with 120 overlapping low-z SNe Ia from the Harvard-Smithsonian Center for Astrophysics surveys and Carnegie Supernova Project, and 2) the PS1 single-telescope analysis, with 172 overlapping low-z SNe Ia from the Foundation Supernova Survey. This study is motivated by previous reports of anomalous inefficiencies and flux scatter for transients on bright galaxies. We compare HR distributions of the bright and faint halves of the SB distribution: the mean HR values differ by Delta HR = 0.031 +- 0.018, consistent with no difference at the 2 sigma level. We also perform a Kolmogorov-Smirnov (KS) test for the bright and faint half HR distributions, and conclude that the two distributions are statistically consistent with a KS p-value of 0.07. However, if future studies with larger datasets find Delta HR ~ 0.03 with high significance, this difference would be a leading systematic uncertainty in measurements of the dark energy equation of state, w.
