Speaker
Dr
Riccardo Catena
(Institut fuer Theoretische Physik Heidelberg)
Description
Although there are great expectations from the LHC to shed light on physics
beyond the Standard Model and an eventual embedding of a dark matter
candidate within it, a clean handle on the dark matter puzzle will come only
from direct or indirect detection signals of dark matter particles within
dark matter halos. There are classes of dark matter candidates for which it
is indeed feasible to extract such signals, for instance measuring the
interaction of a dark matter particle from the local population within a
laboratory detector. A direct detection signal scales linearly with the
local number density of dark matter particles and depends also on their
local velocity distribution. In this talk I will show how Bayesian methods
recently reduced considerably the uncertainties on those quantities. For
instance, given a Galactic mass model and assuming a spherically symmetric
dark matter halo, the local dark matter density can be now determined with
an accuracy of approximately the 10%. I will also discuss how such an
approach, combined with Eddington's inversion formula, can be used to
determine the dark matter local velocity distribution.
Primary author
Dr
Riccardo Catena
(Institut fuer Theoretische Physik Heidelberg)
