Speaker
Description
Observational biases are unavoidably present in cosmological data data, and very often very difficult to asses. At the same time, we are entering the era of "big data" cosmological surveys, where data analysis has to be automatized to a large degree. While these big data will provide opportunities for unprecedentedly precise statistical measurements, task of disentangling observational biases, effects of cosmological evolution of observed sources and genuine cosmological tensions will become even more challenging. In my talk, I will present selected recent results from our group illustrating nontrivial dependencies between galaxy evolution, their properties and large scale structure, and discuss consequences for cosmological measurements from new large surveys. (To be updated later)
