Gravitational lensing by a smoothly variable surface mass density

Statistics – Computation

Scientific paper

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Computational Astrophysics, Cosmology, Gravitational Lenses, Density Distribution, Image Processing, Mass Distribution, Monte Carlo Method

Scientific paper

The statistical properties of gravitational lensing due to smooth but nonuniform distributions of matter are considered. It is found that a majority of triple images had a parity characteristic for 'shear-induced' lensing. Almost all cases of triple or multiple imaging were associated with large surface density enhancements, and lensing objects were present between the images. Thus, the observed gravitational lens candidates for which no lensing object has been detected between the images are unlikely to be a result of asymmetric distribution of mass external to the image circle. In a model with smoothly variable surface mass density, moderately and highly amplified images tended to be single rather than multiple. An opposite trend was found in models which had singularities in the surface mass distribution.

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