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SUMMARY:Imaging data from next-generation radio interferometric telescopes
  with compressive sensing - Jason McEwen (UCL)
DTSTART:20151029T150000Z
DTEND:20151029T160000Z
UID:TALK58540@talks.cam.ac.uk
CONTACT:Carola-Bibiane Schoenlieb
DESCRIPTION:We are about to enter a new era of radio astronomy with new ra
 dio interferometric telescopes under design and construction\, such as the
  Square Kilometre Array (SKA)\, planned for construction in Australia and 
 South Africa. While such telescopes would provide many scientific opportun
 ities\, they will also present considerable modelling and data processing 
 challenges. Novel modelling and imaging techniques will be required to ove
 rcome these challenges. The theory of compressive sensing is a recent\, re
 volutionary development in the field of information theory\, which goes be
 yond the standard Nyquist-Shannon sampling theorem by exploiting the spars
 ity of natural images. Compressive sensing suggests a powerful framework f
 or solving linear inverse problems (through sparse regularisation)\, such 
 as recovering images from the incomplete Fourier measurements taken by rad
 io interferometric telescopes. I will present recent developments in compr
 essive sensing techniques for radio interferometric imaging\, which have s
 hown a great deal of promise. Furthermore\, by appealing to the theoretica
 l foundations of compressive sensing\, I will discuss how telescope config
 urations can be optimised to further enhance imaging fidelity via the spre
 ad spectrum effect that arises in non-coplanar baseline and wide field-of-
 view settings.
LOCATION:MR 14\, CMS
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