Reconstructing structure growth across cosmic time.

大尺度结构的增长是宇宙学中探测偏离广义相对论和限制暗能量性质的最灵敏的观测参数之一。目前，一些不同的低红移探测器分别发现了与宇宙微波背景各向异性测量的低显著紧张关系，这似乎表明晚些时候的增长速度比标准宇宙模型中预测的要慢。这个项目的主要目标将是统一所有可用的数据集的约束，并建立一个独立于模型的宇宙增长历史重建，然后可以用来限制替代暗能量模型。这将使我们能够确定非均匀性的低红移和高红移探测器之间持续紧张的来源。这个项目属于宇宙学理论和数据分析领域。该项目将利用过去和正在进行的实验数据，包括普朗克卫星、暗能量调查、HSC、SDSS、2MASS、WISE和SuperCosmos。在统一、一致的框架中分析的数据将与为进行分析而开发的软件一起公开发布。这将使我们和社区能够进行其他多探测器宇宙学分析，最大限度地利用现有的数据集。

The growth of structure on large scales is one of the most sensitive observables in cosmology to detect deviations from General Relativity and to constrain the properties of Dark Energy. Currently a number of different low-redshift probes have individually found low-significance tensions with the measurement of the Cosmic Microwave Background anisotropies, which seem to indicate a slower growth at late times than predicted in the standard cosmological model. The main goal of this project will be to unify the constraints of all available datasets and build a model-independent reconstruction of the Universe's growth history that can then be used to constrain alternatives Dark Energy models. This will allow us to ascertain the source of the ongoing tension between low-redshift and high-redshift probes of inhomogeneities.This project falls within the area of cosmological theory and data analysis. The project will make use of data from past and ongoing experiments, including the Planck satellite, the Dark Energy Survey, HSC, SDSS, 2MASS, WISE and SuperCosmos. The data thus analysed in a unified, consistent framework, will be publicly releases together with the software developed to carry out the analysis. This will allow us and the community to carry out other multi-probe cosmological analyses, extracting the most out of currently existing datasets.