Type Ia supernovae and their host galaxies in next generation cosmology measurements

一些新的望远镜和调查正在计划中，以改进我们对宇宙参数的测量，从而更好地了解暗能量。该项目将利用档案和模拟数据的结合，为未来大规模的调查做准备，目的是利用Ia型超新星作为距离指标。该项目将侧重于如何利用宿主星系信息来改善两个特定领域的结果(i)改进宇宙学分析中使用的“质量步进”，以及（ii）通过改进光度分类算法来减少Ia型SNe宇宙学样本中的污染。这项工作将在未来几年内上线的主要新设施的背景下进行，即LSST（大型综合测量望远镜），欧几里得任务和4MOST（4米多目标光谱仪望远镜）。博士项目也可能包括对这些调查的第一批数据的一些初步分析，这取决于他们的时间表进展如何。

Several new telescopes and surveys are being planned in order to improve our measurements of the cosmological parameters, and hence better understand Dark Energy. This project will make use of a combination of archival and simulated data to prepare for future, massive surveys aimed at using Type Ia supernovae as distance indicators. The project will focus on how host-galaxy information can be used to improve results in two specific areas (i) improving the use of the 'mass-step' that is used in the cosmological analysis and (ii) reducing contamination in the cosmological sample of Type Ia SNe by improving photometric classification algorithms. The work will be carried out in the context of major new facilities that will come online in the next few years, namely LSST (the Large Synoptic Survey Telescope), ESA's Euclid mission and 4MOST (the 4meter Multi-Object Spectrograph Telescope). The PhD project may also include some initial analysis of the first data from these surveys, depending on how their schedules progress.