Speaker
Dr
Jens Jasche
(TUM)
Description
Next generation cosmological surveys will provide an
avalanche of cosmological observations. This increase in scientific data
needs to be accompanied with the development of novel information
processing techniques to interpret such observations. Analyses of three
dimensional inhomogeneous large scale structures require to jointly
account for complex dynamical processes, associated to the gravitational
formation history of the dark matter distribution, together with systematic
as well as stochastic effects arising from observational procedures.
We address this problem of large scale Bayesian inference from
cosmological data sets via our recently developed BORG algorithm. This
approach incorporates three dimensional physical models of cosmological
structure formation immediately into a Bayesian inference framework. Detailed
physical modelling of data permits us to increase the signal to noise ratio
of inferred quantities by at least one order of magnitude. In conclusion, our approach
provides new avenues to study the full four dimensional state of our
Universe in cosmological data.
Author
Dr
Jens Jasche
(TUM)