7th International Fermi Symposium

Information field theory for gamma ray astronomy

18 Oct 2017, 11:00

30m

Congress Center Garmisch-Partenkirchen

Invited Talk Analysis Techniques Analysis techniques

Speaker

Torsten Ensslin (MPI for Astrophysics)

Description

Imaging, the process of converting data into images, is in general an ill-posed problem that requires regularization by additional information. Information field theory (IFT) provides a consistent framework to fuse measurement data and abstract knowledge on signal fields into an optimal image by using field theoretical methods in Bayesian inference. Here, the IFT based D${}^3$PO algorithm will be introduced, and its application to Fermi and RXTE data presented. The future vision of an Unified Bayesian Imaging tooKIT (UBIK) for multi-dimensional and multi-instrumental imaging and the first steps towards it will be presented.

Presentation materials

2017-10-18_D3PO_Fermi.pdf