Directional detection of Dark Matter

TL;DR

This paper develops a likelihood-based formalism for directional dark matter detection, enabling the identification of WIMP signals' galactic origin and constraining dark matter particle properties.

Contribution

It introduces a comprehensive map-based likelihood method to extract the main incoming direction of WIMP signals from recoil maps, enhancing detection capabilities.

Findings

Successfully recovers the main incoming direction of WIMP signals.

Provides constraints in the (sigma_n, m_chi) parameter space.

Demonstrates the method's effectiveness in distinguishing signals from background.

Abstract

Directional detection of galactic Dark Matter is a promising search strategy for discriminating genuine WIMP events from background ones. However, to take full advantage of this powerful detection method, one need to be able to extract information from an observed recoil map to identify a WIMP signal. We present a comprehensive formalism, using a map-based likelihood method allowing to recover the main incoming direction of the signal, thus proving its galactic origin, and the corresponding significance. Constraints are then deduced in the (sigma_n, m_chi) plane.