TO: BAYESIAN STRONG-LENS MODELLING: SUBSTRUCTURE IN MASSIVE GALAXIES
SESZIONE DI TORINO The LCDM cosmological model for structure formation has been very
successful in explaining many of the observed properties of the Universe
on large scales and at different cosmic epochs. However several important issues remain
unsolved on smaller scale. Among the most puzzling discrepancies is the
so-called missing satellites problem. As observed in numerical
cosmological simulations, the LCDM scenario predicts a number of substructures
within the
Local Group which is 1-2 orders of magnitude higher than what is
effectively observed. A number of possible solutions has been proposed to
alleviate this problem. One of the most popular astrophysical solutions relies on the
inability of low-mass satellites to form stars, either by supernova
feedback, photoionization or reionization.
The gas collapse/cooling suppression sensibly reduces the number of
visible satellites; if indeed these high M/L
substructures exist, gravitational lensing provides us with a powerful
tool to explore CDM substructures in galaxies
outside the Local Group and at a relative high redshift. I will present a
fully non-parametric Bayesian methodology
of gravitational imaging which we recently developed and show how
substructure in lens galaxies can be detected with
these techniques. I will present some preliminary results when applied to
Sloan Lens ACS (SLACS) lens systems.
DATA: 11-04-2008
Istituto Nazionale di Fisica
Nucleare - Piazza dei Caprettari, 70 -
00186 Roma
tel. +39 066840031 - fax +39 0668307924 - email: presidenza@presid.infn.it