Astronomy Reports

, Volume 48, Issue 10, pp 826–833 | Cite as

Two-stage algorithm for reconstructing the images of the gravitational lens QSO 2237+0305

  • E. A. Koptelova
  • E. V. Shimanovskaya
  • B. P. Artamonov
  • M. V. Sazhin
  • A. G. Yagola
Article

Abstract

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\(\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\smile}$}}{l} \)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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Copyright information

© MAIK "Nauka/Interperiodica" 2004

Authors and Affiliations

  • E. A. Koptelova
    • 1
  • E. V. Shimanovskaya
    • 2
  • B. P. Artamonov
    • 1
  • M. V. Sazhin
    • 1
  • A. G. Yagola
    • 2
  1. 1.Sternberg Astronomical InstituteMoscow State UniversityMoscowRussia
  2. 2.Moscow State UniversityVorob’evy gory, MoscowRussia

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