Astronomy and Astrophysics – Astrophysics
Scientific paper
2003-06-20
Astronomy and Astrophysics
Astrophysics
A&A in press 9 pages 9 figures
Scientific paper
10.1051/0004-6361:20031111
We develop a self-consistent automatic procedure to restore informations from astronomical observations. It relies on both a new deconvolution algorithm called LBCA (Lower Bound Constraint Algorithm) and the use of the Wiener filter. In order to explore its scientific potential for strong and weak gravitational lensing, we process a CFHT image of the galaxies cluster Abell 370 which exhibits spectacular strong gravitational lensing effects. A high quality restoration is here of particular interest to map the dark matter within the cluster. We show that the LBCA turns out specially efficient to reduce ringing effects introduced by classical deconvolution algorithms in images with a high background. The method allows us to make a blind detection of the radial arc and to recover morphological properties similar to thoseobserved from HST data. We also show that the Wiener filter is suitable to stop the iterative process before noise amplification, using only the unrestored data.
Aime Claude
Bracco Christian
Lanteri Henri
Mellier Yannick
Roche Muriel
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