Paper
28 July 2008 Image reconstruction at Cambridge University
Author Affiliations +
Abstract
We present the recent results in image reconstruction obtained with the University of Cambridge's software package BSMEM (BiSpectrum Maximum Entropy Method). We also evaluate the performance of BSMEM reconstructions for several datasets susceptible to render the reconstruction process harder: with missing power-spectrum or bispectrum points, low Signal-to-Noise ratio on visibility phases or visibility amplitudes, or problematic source morphologies (important amount of resolved flux, centro-symmetry). Interferometer configurations with 4, 6, 8 and 15 telescopes are examined.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fabien Baron and John S. Young "Image reconstruction at Cambridge University", Proc. SPIE 7013, Optical and Infrared Interferometry, 70133X (28 July 2008); https://doi.org/10.1117/12.789115
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Cited by 24 scholarly publications.
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KEYWORDS
Signal to noise ratio

Telescopes

Image restoration

Visibility

Stars

Reconstruction algorithms

Data modeling

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