Information field theory, from astronomical imaging to artificial intelligence
Date: Tuesday, 14 December 2021
Time: 4:00pm (UTC)
Speaker: Torsten Enßlin (Max-Planck-Institute for Astrophysics, Germany)
Contact the organizer: Andriy Olenko a.olenko@latrobe.edu.au
Abstract: Turning the raw data of an instrument into high-fidelity pictures of the Universe is a central theme in astronomy. Information field theory (IFT) describes probabilistic image reconstruction from incomplete and noisy data exploiting all available information. Astronomical applications of IFT are galactic tomography, gamma- and radio- astronomical imaging, and the analysis of cosmic microwave background data. This talk introduces into the basic ideas of IFT, highlights its astronomical applications, and explains its relation with contemporary artificial intelligence.
See zoom meeting details below.
This seminar is a part of a new international online seminars series on Statistics and Data Science applications in Astronomy:
This
seminar is an initiative of the International Astrostatistics
Association and the IAU Astroinformatics and Astrostatistics Commission.
The seminar alternate between Europe-US and Australasia-Europe on a monthly basis.
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