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Dark matter distribution in the Universe with gravitational lensing

Abstract : Gravitational lensing can be as competitive as other cosmological probes for constraining cosmological parameters. However, previous attempts of using strong lensing statistics as a cosmological tool have produced controversial results. In particular, observations of strong lensing clusters seemed to indicate that: first, some galaxy clusters have very extended critical lines whose abundances can hardly be reproduced by cluster models in the framework of a ΛCDM cosmology; and second, few clusters have concentrations which are way too large compared to numerical expectations. The main motivation behind this thesis work is to check whether the persistence of the arc statistics problem can be still questioned –both by theoreticians and by observers– in terms of the current ΛCDM cosmological model. We use the state-of-the-art numerical simulations of galaxy clusters (MUSIC, MultiDark) as a laboratory to test the general gravitational lensing properties of these objects that can then be incorporated into a semi-analityc model (MAPLENS, Madrid-Paris LENsing Semianalytics) for the prediction of the statistical distribution of strong lens features in the universe. MAPLENS incorporates all the selection effects that could be accounted for in the MUSIC dataset: triaxiality, substructures and mergers. We then compare the predictions of MAPLENS with recent observational data from CLASH and SGAS using two independent techniques: the distribution function of Einstein radii and the extreme value statistics of Einstein radii.
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Jesús Vega Ferrero. Dark matter distribution in the Universe with gravitational lensing. Astrophysics [astro-ph]. Observatoire de Paris, 2015. English. ⟨tel-02095303⟩

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