论文标题
使用宿主星系光度红移来改善LSST时代IA型超新星的宇宙学约束
Using Host Galaxy Photometric Redshifts to Improve Cosmological Constraints with Type Ia Supernova in the LSST Era
论文作者
论文摘要
我们对模拟的IA型超新星(SN〜IA)进行了严格的宇宙学分析,并评估了与仅使用来自宿主或SN的光谱红移的“ ZSPEC”子集相比,从包括光度宿主 - 宿主 - 甘马斯红移。我们使用基于数据挑战2(DC2)的低Z样品(DC2),使用了光度LSST天文时间序列分类挑战(Parterc)的深钻孔(〜50摄氏度^2)。该分析包括标准化SN亮度的光曲线拟合,高统计量模拟以获得偏置校正的哈勃图,统计+Systematics协方差矩阵,包括校准和照片-Z的不确定性,以及与宇宙微层面背景的先前的宇宙学配合。与使用ZSPEC子集相比,包括SN+宿主照片-Z的事件在i)z> 0.5的更精确距离中,ii)一个笨拙的图表,在红移中进一步扩展了0.3,iii)基于W0-WA CDM模型的黑暗能源委员会(FOM)增加了50%。分析25个模拟数据样本,W0和WA上的平均偏差与零一致。 0.01的主机照相系统仅将FOM降低2%,因为i)大多数z <0.5事件在Zspec子集中,ii)组合的SN+主机Photo-Z的组合具有X 2较小的偏见,III)拟合的红移和颜色自我正确的距离距离。为了准备分析真实数据,下一个使用Photo-Z的SNIA综合分析应包括非SN-IA污染和宿主星系错误 - 关联。
We perform a rigorous cosmology analysis on simulated type Ia supernovae (SN~Ia) and evaluate the improvement from including photometric host-galaxy redshifts compared to using only the "zspec" subset with spectroscopic redshifts from the host or SN. We use the Deep Drilling Fields (~50 deg^2) from the Photometric LSST Astronomical Time-Series Classification Challenge (PLaSTiCC), in combination with a low-z sample based on Data Challenge2 (DC2). The analysis includes light curve fitting to standardize the SN brightness, a high-statistics simulation to obtain a bias-corrected Hubble diagram, a statistical+systematics covariance matrix including calibration and photo-z uncertainties, and cosmology fitting with a prior from the cosmic microwave background. Compared to using the zspec subset, including events with SN+host photo-z results in i) more precise distances for z>0.5, ii) a Hubble diagram that extends 0.3 further in redshift, and iii) a 50 % increase in the Dark Energy Task Force figure of merit (FoM) based on the w0-wa CDM model. Analyzing 25 simulated data samples, the average bias on w0 and wa is consistent with zero. The host photo-z systematic of 0.01 reduces FoM by only 2 % because i) most z<0.5 events are in the zspec subset, ii) the combined SN+host photo-z has X 2 smaller bias, and iii) the anti-correlation between fitted redshift and color self corrects distance errors. To prepare for analysing real data, the next SNIa-cosmology analysis with photo-z's should include non SN-Ia contamination and host galaxy mis-associations.