Radio astronomy imaging has been primarily focused on a planar approximation to a portion of the observed sphere. We present an efficient algorithm that reconstructs directly on the celestial sphere. It leverages an analytic Hilbert space framework to produce a continuous image description that may be stored independently of resolution, and sampled up to the fundamental limit of the telescope. The algorithm is inherently simpler and more intuitive than previous methods, as well as faster.

This presentation is part of Contributed Presentation “CP10 - Contributed session 10”

Authors:

Paul Hurley (IBM Research, Zurich)

Matthieu Simeoni (EPFL / IBM Research)

Keywords:

image reconstruction, image representation