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Reconstruction problems in rich tomography I.

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RNT - Rich and Nonlinear Tomography - a multidisciplinary approach

In rich tomography problems we typically have more than just scalar data for each source and detector. This could be for example a diffraction pattern, a spectrum or a polarization state. Often from such rich data we can recover more information than a scalar image. In this talk I will set the scene with three examples. Small angle x-ray scattering tomography (SAXS), Bragg edge neutron tomography and polarimetric neutron tomography. I will give the mathematical formulation, some of what is know about reconstruction and uniqueness, and barely enough physics to understand the problem.

This talk is part of the Isaac Newton Institute Seminar Series series.

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