Exclusion, Discovery and Identification of Dark Matter with Directional   Detection
  Directional detection is a promising search strategy to discover galactic Dark Matter. We present a Bayesian analysis framework dedicated to data from upcoming directional detectors. The interest of directional detection as a powerful tool to set exclusion limits, to authentify a Dark Matter detection or to constrain the Dark Matter properties, both from particle physics and galactic halo physics, will be demonstrated. 
J. Billard (1), F. Mayet (1) and D. Santos (1) ((1) LPSC Grenoble)
astro-ph.CO