B11 - Analysis and Forecasts for Large-Scale Dark Energy Surveys
We are currently entering an era of large scale structure surveys, which are designed to test cosmological models and probe the nature of Dark Energy. This requires on the one hand the development of careful and dedicated analysis methods to test specifically for a large range of models of cosmic acceleration and on the other hand to implement the understanding we have of these models into the design of future surveys and satellite missions. In this project we concentrate on efforts to constrain standard and non-standard cosmological models which exploit the statistics of the large scale matter distribution and the growth of the large scale structure over time.
Next-generation large-scale surveys for Dark Energy will collect large amount of data, redshifts and ellipticities for hundred of millions of galaxies. In order to extract the maximal amount of cosmological information, the experimental design needs to be optimized by tuning the best combinations of depth, width, and sensitivity. With this project, we will forecast the performance of future surveys in constraining theoretical parameters and analyze current datasets. It is likely that future breakthroughs come from a combination of different methods, in particular baryon acoustic oscillations, redshift distortions, cosmic shear and cluster observations, in addition to the cosmic microwave background.
The forecasting and analysis problem is amplified by the need to take into account all the correlation among these datasets, since they measure related quantities. An honest analysis requires the investigation of the full correlation matrix of these probes. The full correlations could bear extra information and hence tighten the constraints on Dark Energy, and could also suggest new ways to optimize the surveys.