Bayesian approach to gravitational lens model selection: constraining H0 with a selected sample of strong lenses

2012/06/30 by Irène Balmès, Pier-Stefano Corasaniti
Physics and Astronomy · #Algorithm #Artificial intelligence #Astrophysics #Bayes factor #Bayes' theorem #Bayesian probability #Computer science #Cosmology #Cosmology and Gravitation Theories #Dark energy #Galaxies: Formation, Evolution, Phenomena #Galaxy #Gamma-ray bursts and supernovae #Gravitational lens #Hubble's law #Lens (geology) #Optics #Physics #Redshift #Statistical physics #Strong gravitational lensing #Theoretical physics #astro-ph.CO

paper · pdf · doi:10.1093/mnras/stt260

published as Mont.Not.Roy.Astron.Soc.431:1528,2013 · 13 pages; 13 figures; includes Bayesian analysis of a synthetic lens catalog generated with GRAVLENS, several additional results; matches MNRAS accepted version

arxiv created 2013/02/12 · openalex publication_date 2013/03/12 · arxiv updated 2013/04/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

13 pages; 13 figures; includes Bayesian analysis of a synthetic lens catalog generated with GRAVLENS, several additional results; matches MNRAS accepted version

Citations

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