LikeDM: likelihood calculator of dark matter detection

TL;DR

LikeDM is a computational tool that rapidly evaluates the likelihood of dark matter models against various astrophysical and experimental data, facilitating the connection between particle physics theories and observational constraints.

Contribution

It introduces a new numerical tool that integrates multiple astrophysical factors to efficiently compute dark matter detection likelihoods from diverse observational data.

Findings

First version focuses on indirect detection constraints from cosmic rays and gamma rays.

Provides a comprehensive framework for dark matter likelihood calculations.

Available for download and future updates will include direct detection analysis.

Abstract

With the large progress in searches for dark matter (DM) particles with indirect and direct methods, we develop a numerical tool that enables fast calculations of the likelihoods of specified DM particle models given a number of observational data, such as charged cosmic rays from space-borne experiments (e.g., PAMELA, AMS-02), gamma-rays from the Fermi space telescope, and underground direct detection experiments. The purpose of this tool --- LikeDM, likelihood calculator for dark matter detection --- is to bridge the gap between a particle model of DM and the observational data. The intermediate steps between these two, including the astrophysical backgrounds, the propagation of charged particles, the analysis of Fermi gamma-ray data, as well as the DM velocity distribution and the nuclear form factor, have been dealt with in the code. We release the first version (v1.0) focusing on the constraints from indirect detection of DM with charged cosmic and gamma rays. Direct detection will be implemented in the next version. This manual describes the framework, usage, and related physics of the code. The code LikeDM can be download from https://likedm.hepforge.org/