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      PAINTER: a spatio-spectral image reconstruction algorithm for optical interferometry

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          Abstract

          Astronomical optical interferometers sample the Fourier transform of the intensity distribution of a source at the observation wavelength. Because of rapid perturbations caused by atmospheric turbulence, the phases of the complex Fourier samples (visibilities) cannot be directly exploited. Consequently, specific image reconstruction methods have been devised in the last few decades. Modern polychromatic optical interferometric instruments are now paving the way to multiwavelength imaging. This paper is devoted to the derivation of a spatio-spectral (3D) image reconstruction algorithm, coined PAINTER (Polychromatic opticAl INTErferometric Reconstruction software). The algorithm relies on an iterative process, which alternates estimation of polychromatic images and of complex visibilities. The complex visibilities are not only estimated from squared moduli and closure phases, but also differential phases, which helps to better constrain the polychromatic reconstruction. Simulations on synthetic data illustrate the efficiency of the algorithm and in particular the relevance of injecting a differential phases model in the reconstruction.

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          Author and article information

          Journal
          29 June 2014
          2014-09-27
          Article
          10.1364/JOSAA.31.002334
          1407.1885
          3ce008f6-5770-4027-8479-f5fe85e02427

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

          History
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          12 pages, 10 figures, http://www.opticsinfobase.org/submit/review/copyright_permissions.cfm
          astro-ph.IM cs.CV

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