Speaker
Dr
Torsten Enßlin
(MPA)
Description
Information field theory (IFT) describes probabilistic image reconstruction from incomplete and noisy data. Based on field theoretical concepts IFT provides optimal methods to generate images exploiting all available information. IFT algorithms can be regarded as interpretable neural networks, with a design determined by the physical knowledge on the observed system. Applications in astrophysics are galactic tomography, gamma- and radio- astronomical imaging, and the analysis of cosmic microwave background data.
| Abstract type | RU or CN Highlight Talk (please discuss with Coordinators before) |
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Author
Dr
Torsten Enßlin
(MPA)