Markov Chain Monte Carlo analysis to constrain Dark Matter properties
  with directional detection
  Directional detection is a promising dark matter search strategy. Indeed,
weakly interacting massive particle (WIMP)-induced recoils would present a
direction dependence toward the Cygnus constellation, while background-induced
recoils exhibit an isotropic distribution in the Galactic rest frame. Taking
advantage of these characteristic features and even in the presence of a
sizeable background, it has recently been shown that data from forthcoming
directional detectors could lead either to a competitive exclusion or to a
conclusive discovery, depending on the value of the WIMP-nucleon cross section.
However, it is possible to further exploit these upcoming data by using the
strong dependence of the WIMP signal with : the WIMP mass and the local WIMP
velocity distribution. Using a Markov chain Monte Carlo analysis of recoil
events, we show for the first time the possibility to constrain the unknown
WIMP parameters, both from particle physics (mass and cross section) and
Galactic halo (velocity dispersion along the three axis), leading to an
identification of non-baryonic dark matter.
