Principles of image reconstruction in optical interferometry: tutorial

Abstract

This paper provides a general introduction to the problem of image reconstruction from interferometric data. A simple model of the interferometric observables is given and the issues arising from sparse Fourier data are discussed. The effects of various regularizations are described. In the proposed general framework, most existing algorithms can be understood. For an astronomer, such an understanding is crucial not only for selecting and using an algorithm but also to ensure correct interpretation of the resulting image.

20 pages, 5 figures

References in corpus (4)

• Interferometric data reduction with AMBER/VLTI.Principle,estimators and illustration
• Pre-maximum spectro-imaging of the Mira star T Lep with AMBER/VLTI
• SPARCO : a semi-parametric approach for image reconstruction of chromatic objects
• PAINTER: a spatio-spectral image reconstruction algorithm for optical interferometry

Cited by in corpus (1)

• First M87 Event Horizon Telescope Results. IV. Imaging the Central Supermassive Black Hole