Two-Stage Algorithm for Reconstructing the Images of the Gravitational Lens QSO 2237+0305

Details Two-Stage Algorithm for Reconstructing the Images of the Gravitational Lens QSO 2237+0305 Two-Stage Algorithm for Reconstructing the Images of the Gravitational Lens QSO 2237+0305

Oct 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004arep...48..826k&link_type=abstract

Astronomy Reports, vol. 48, Issue 10, p.826-833

Astronomy and Astrophysics

Astronomy

3

Scientific paper

A two-stage algorithm for reconstructing images made up of point sources is proposed and applied to images of the gravitational lens QSO 2237+0305 obtained with the 1.5-m telescope of the Ma danak Observatory. In the first stage, a modified Tikhonov regularization algorithm is used to split an image with a high signal-to-noise ratio into two parts, corresponding to numerical galaxy and quasar components. In the second stage, the astrometric and photometric characteristics of the individual images of the gravitational-lens system are determined using information about the brightness distribution in the galaxy and a least-squares fit. The two-stage algorithm substantially reduces the time required for the image analysis. A comparison of our method with CLEAN is presented.

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