Image reconstruction at Cambridge University

Details Image reconstruction at Cambridge University Image reconstruction at Cambridge University

Jul 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008spie.7013e.121b&link_type=abstract

Optical and Infrared Interferometry. Edited by Schöller, Markus; Danchi, William C.; Delplancke, Françoise. Proceedings of the

Computer Science

Performance

2

Scientific paper

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.

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