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

Mitra, Ayan, Kessler, Richard, More, Surhud, Hlozek, Renee, Collaboration, The LSST Dark Energy Science

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.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源