Tools for Dark Matter in Particle and Astroparticle Physics

TL;DR

This paper reviews publicly available computational tools used in dark matter research, highlighting their role in analyzing potential signals across various detection methods to identify dark matter properties.

Contribution

It provides a comprehensive overview of existing public codes for calculating dark matter observables, aiding researchers in model testing and data interpretation.

Findings

Compilation of key public codes for dark matter calculations

Facilitation of model testing through computational tools

Enhancement of data analysis in dark matter searches

Abstract

Despite several indirect confirmations of the existence of dark matter, the properties of a new dark matter particle are still largely unknown. Several experiments are currently searching for this particle underground in direct detection, in space and on earth in indirect detection and at the LHC. A confirmed signal could select a model for dark matter among the many extensions of the standard model. In this paper we present a short review of the public codes for computation of dark matter observables.