Exclusion, Discovery and Identification of Dark Matter with Directional Detection
Cosmology and Nongalactic Astrophysics
2015-05-30 v1
Abstract
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.
Cite
@article{arxiv.1110.0951,
title = {Exclusion, Discovery and Identification of Dark Matter with Directional Detection},
author = {J. Billard and F. Mayet and D. Santos},
journal= {arXiv preprint arXiv:1110.0951},
year = {2015}
}
Comments
10 pages, 11 figures; Proceedings of the 3rd International conference on Directional Detection of Dark Matter (CYGNUS 2011), Aussois, France, 8-10 June 2011