Paper Info
Title
LikeDM: Likelihood calculator of dark matter detection.
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), 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.
Year
DOI
Venue
2017
10.1016/j.cpc.2016.12.015
Computer Physics Communications
Keywords
Field
DocType
Dark matter,Statistics tools,Dark matter indirect detection
Fermi Gamma-ray Space Telescope,Dark matter,Cosmic ray,Form factor (quantum field theory),Annihilation,Mathematical analysis,Fortran,Nuclear physics,Gamma ray,Charged particle,Physics,Particle physics
Journal
Volume
ISSN
Citations 
213
0010-4655
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Xiaoyuan Huang100.34
Yue-Lin Sming Tsai200.34
Qiang Yuan300.34