Astronomy and Astrophysics – Astrophysics
Scientific paper
Sep 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010gregr..42.2151k&link_type=abstract
General Relativity and Gravitation, Volume 42, Issue 9, pp.2151-2176
Astronomy and Astrophysics
Astrophysics
Strong Gravitational Lensing, Lens Modeling, Galaxy Structure, Statistical Methods
Scientific paper
I review methods for modeling gravitational lens systems comprising multiple images of a background source surrounding a foreground galaxy. In a Bayesian framework, the likelihood is driven by the nature of the data, which in turn depends on whether the source is point-like or extended. The prior encodes astrophysical expectations about lens galaxy mass distributions, either through a careful choice of model families, or through an explicit Bayesian prior applied to under-constrained free-form models. We can think about different lens modeling methods in terms of their choices of likelihoods and priors.
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