Michiel van Noort (MPS)

Image restoration of solar data using multi frame blind deconvolution
When Dec 14, 2017 from 02:30 PM to 03:30 PM
  • Colloquium
Where SH Lecture Hall
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When observing the Sun using ground based solar telescopes, atmospheric turbulence, resulting from heating of the Earths atmosphere by the Sun, usually causes severe blurring of image data in the spatial dimensions. In spite of tremendous progress made in the development of adaptive optics (AO) systems to correct telescope images for this effect, residual image degradations remain a significant factor, limiting the spatial resolution that can be achieved. Multi-Frame Blind Deconvolution (MFBD) is one of a family of numerical techniques that model and remove these residual image degradations, allowing observers to increase the amount of information they can extract from their data. In this talk, I will describe the basic ideas behind MFBD, discuss how the recent increase in availability of computing resources to the solar physics community has helped to significantly increase the usefulness of this technique, and how this has influenced observational techniques, from the design of instruments, to the acquisition, reduction and inversion of the data.