AffiliationUniv Arizona, Dept Phys
Univ Arizona, Dept Phys, Appl Math Program
Univ Arizona, Dept Astron
large-scale structure of Universe
MetadataShow full item record
PublisherOXFORD UNIV PRESS
CitationKyle Leaf, Fulvio Melia; Model selection with strong-lensing systems, Monthly Notices of the Royal Astronomical Society, Volume 478, Issue 4, 21 August 2018, Pages 5104–5111, https://doi.org/10.1093/mnras/sty1365
Rights© 2018 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society
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AbstractIn this paper, we use an unprecedentedly large sample (158) of confirmed strong lens systems for model selection, comparing five well-studied Friedmann–Robertson–Walker cosmologies: ΛCDM, wCDM (the standard model with a variable dark-energy equation of state), the Rh = ct universe, the (empty) Milne cosmology, and the classical Einstein-de Sitter (matter-dominated) universe. We first use these sources to optimize the parameters in the standard model and show that they are consistent with Planck, though the quality of the best fit is not satisfactory. We demonstrate that this is likely due to underreported errors, or to errors yet to be included in this kind of analysis. We suggest that the missing dispersion may be due to scatter about a pure single isothermal sphere (SIS) model that is often assumed for the mass distribution in these lenses. We then use the Bayes information criterion, with the inclusion of a suggested SIS dispersion, to calculate the relative likelihoods and ranking of these models, showing that Milne and Einstein-de Sitter are completely ruled out, while Rh = ct is preferred over ΛCDM/wCDM with a relative probability of ∼73percent versus ∼24percent. The recently reported sample of new strong lens candidates by the Dark Energy Survey, if confirmed, may be able to demonstrate which of these two models is favoured over the other at a level exceeding 3σ.
VersionFinal accepted manuscript
SponsorsChinese Academy of Sciences Visiting Professorships for Senior International Scientists under grant 2012T1J0011, Chinese State Administration of Foreign Experts Affairs under grant GDJ20120491013