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When Darwin Met Einstein: Gravitational Lens Inversion with Genetic Algorithms

Published online by Cambridge University Press:  05 March 2013

Brendon J. Brewer  and
Geraint F. Lewis
Brendon J. Brewer
Affiliation:
Institute of Astronomy, School of Physics, University of Sydney, Sydney NSW 2006, Australia
Geraint F. Lewis*
Affiliation:
Institute of Astronomy, School of Physics, University of Sydney, Sydney NSW 2006, Australia
*
BCorresponding author. Email: gfl@physics.usyd.edu.au
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Abstract

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Gravitational lensing can magnify a distant source, revealing structural detail which is normally unresolvable. Recovering this detail through an inversion of the influence of gravitational lensing, however, requires optimisation of not only lens parameters, but also of the surface brightness distribution of the source. This paper outlines a new approach to this inversion, utilising genetic algorithms to reconstruct the source profile. In this initial study, the effects of image degradation due to instrumental and atmospheric effects are neglected and it is assumed that the lens model is accurately known, but the genetic algorithm approach can be incorporated into more general optimisation techniques, allowing the optimisation of both the parameters for a lensing model and the surface brightness of the source.

Keywords

gravitational lensingmethods: numerical
Type
Research Article
Information
Publications of the Astronomical Society of Australia , Volume 22 , Issue 2 , 2005 , pp. 128 - 135
Copyright
Copyright © Astronomical Society of Australia 2005

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