With the large progresses of searching for dark matter (DM) particles from indirect and direct methods, we develop a numerical tool which enables fast calculation of the likelihood 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 Fermi space telescope, and the underground direct detection experiments. The purpose of this tool, LikeDM, is to bridge the 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. The current release is version 1.0, which focuses on the constraints of charged cosmic and gamma rays.
Contributors of LikeDM include: Xiaoyuan Huang, Yue-Lin Sming Tsai, Qiang Yuan. The code can be downloaded from here. For more details see README.
The LikeDM related publications:
Xiaoyuan Huang, Yue-Lin Sming Tsai, Qiang Yuan. LikeDM: likelihood calculator of dark matter detection. eprint arXiv:1603.07119
Abdesslam Arhrib, Yue-Lin Sming Tsai, Qiang Yuan, Tzu-Chiang Yuan. An updated analysis of Inert Higgs Doublet Model in light of the recent results from LUX, PLANCK, AMS-02 and LHC. J. Cosmol. Astropart. Phys., 06, 030 (2014)
Yue-Lin Sming Tsai, Qiang Yuan, Xiaoyuan Huang. A generic method to constrain the dark matter model parameters from Fermi observations of dwarf spheroids. J. Cosmol. Astropart. Phys., 03, 018 (2013)