arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1902.03261astro-ph.CO
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Ia型超新星是优良的近红外标准烛光

Type Ia Supernovae are Excellent Standard Candles in the Near-Infrared

Arturo Avelino, Andrew S. Friedman, Kaisey S. Mandel, David O. Jones, Peter J. Challis, Robert P. Kirshner

摘要:

我们分析了一组89 Ia型超新星(SN Ia),光学和近红外(NIR)测光,以获得距离和低红移($z < 0.04$)哈勃图。我们使用分层贝叶斯模型构建平均光变曲线(LC)模板。我们探索了高斯过程(GP)和模板方法来拟合LC和估计距离,同时包括特殊的速度和光度不确定性。对于56个Ia型超新星,光学和近红外观测都接近最大光,GP方法得出的哈勃图只有近红外,参考近红外最大值时,RMS为$0.117 \pm 0.014$等。对于每个NIR波段,当参考NIR-max或B-max时,获得了可比较的GP方法RMS。使用参考B-max的NIR LC模板产生较大的$0.138 \pm 0.014$ mag RMS值。使用使用LC形状和颜色校正的标准LC拟合器拟合相应的光学数据,产生较大的$0.179 \pm 0.018$ mag RMS值(SALT 2)和$0.174 \pm 0.021$ mag RMS值(SNooPy)。将我们的GP方法应用于SN Ia近红外LC在近红外最大光的子集,即使没有LC形状,颜色或宿主星系尘埃变红的校正,在$\sim 2.3 - 4.1σ$水平上,比标准的光学方法更能提供更小的RMS。我们正在哈勃太空望远镜上进行的RAISIN计划将利用这种有前途的红外方法来限制测量宇宙膨胀历史时的系统误差,以限制暗能量。

英文摘要:

We analyze a set of 89 Type Ia supernovae (SN Ia) that have both optical and near-infrared (NIR) photometry to derive distances and construct low redshift ($z < 0.04$) Hubble diagrams. We construct mean light curve (LC) templates using a hierarchical Bayesian model. We explore both Gaussian process (GP) and template methods for fitting the LCs and estimating distances, while including peculiar velocity and photometric uncertainties. For the 56 SN Ia with both optical and NIR observations near maximum light, the GP method yields a NIR-only Hubble-diagram with a RMS of $0.117 \pm 0.014$ mag when referenced to the NIR maxima. For each NIR band, a comparable GP method RMS is obtained when referencing to NIR-max or B-max. Using NIR LC templates referenced to B-max yields a larger RMS value of $0.138 \pm 0.014$ mag. Fitting the corresponding optical data using standard LC fitters that use LC shape and color corrections yields larger RMS values of $0.179 \pm 0.018$ mag with SALT2 and $0.174 \pm 0.021$ mag with SNooPy. Applying our GP method to subsets of SN Ia NIR LCs at NIR maximum light, even without corrections for LC shape, color, or host-galaxy dust reddening, provides smaller RMS in the inferred distances, at the $\sim 2.3 - 4.1σ$ level, than standard optical methods that do correct for those effects. Our ongoing RAISIN program on the Hubble Space Telescope will exploit this promising infrared approach to limit systematic errors when measuring the expansion history of the universe to constrain dark energy.

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