Séminaire André FERRARI – Université de Nice
Jeudi 07 juin 2018 – 15h00 – Amphi B120
Image reconstruction challenges in Radio Astronomy Next-generation radio telescopes involve challenging aspects, as a wide band operation, a huge collecting area, an enormous data volume, which are far more demanding than traditional radio telescopes. In order to achieve high sensitivity and resolution with a great dynamic range in reconstructed images, accurate and computationally efficient algorithms are of crucial importance. The presentation will first introduce the fundamental aspects of radio astronomy and illustrate the evolution of the radio telescopes during the last decades and up to the future SKA (Square Kilometre Array). The measurement equation leading to the image reconstruction problem will be derived. Finally, MUFFIN (Multi-Frequency Sparse Radio Interferometric imaging), a recent distributed and self-tunes image reconstruction algorithm will be presented.
André Ferrari received the Ph. D. from the University of Nice Sophia-Antipolis (UNS), France, in 1992 in electrical engineering. He is currently a Professor at the Université Côte d’Azur. He is a member of the Joseph-Louis Lagrange Laboratory (Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS), where his research activity is centered around statistical image and signal processing. He has a particular interest in applications of data processing to Astrophysics, as high contrast and high resolution imaging in optics and image reconstruction for very large antenna arrays.