LikeDM: Likelihood calculator of dark matter detection

Published: 6 Jan 2017 | Version 1 | DOI: 10.17632/p93d3ksfvd.1

Description of this data

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), γ-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 γ-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.

Experiment data files

peer reviewed

This data is associated with the following peer reviewed publication:

LikeDM: Likelihood calculator of dark matter detection

Published in: Computer Physics Communications

Latest version

  • Version 1


    Published: 2017-01-06

    DOI: 10.17632/p93d3ksfvd.1

    Cite this dataset

    Huang, Xiaoyuan; Tsai, Yue-Lin Sming; Yuan, Qiang (2017), “LikeDM: Likelihood calculator of dark matter detection”, Mendeley Data, v1


Natural Sciences


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