A PSF Deconvolution Algorithm For Quasar Images

Details A PSF Deconvolution Algorithm For Quasar Images A PSF Deconvolution Algorithm For Quasar Images

Oct 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aspc..376..445m&link_type=abstract

Astronomical Data Analysis Software and Systems XVI ASP Conference Series, Vol. 376, proceedings of the conference held 15-18 Oc

Astronomy and Astrophysics

Astronomy

Scientific paper

Quasar host galaxy images are dominated by the Point Spread Function (PSF) of the high luminosity quasar. The host galaxy morphology is submerged beyond easy recovery of its parameters even with HST resolution. Recovery is achieved by deconvolving the PSF through minimization of χ^2. This method is very sensitive to the optimization process. It is also important to understand that different combinations of parameters can result in similar χ^2. In this paper we introduce a novel search algorithm that uses multiple agents. This method gives the user more control over the optimization process and allows the user to explore multiple solutions.

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