MadDM v.3.0: a Comprehensive Tool for Dark Matter Studies

Mar 30, 2018
42 pages
Published in:
  • Phys.Dark Univ. 24 (2019) 100249
e-Print:
DOI:
Report number:
  • CP3-18-26,
  • MCnet-18-07,
  • MCNET-18-07

Citations per year

201820202022202420250102030
Abstract: (arXiv)
We present MadDM v.3.0, a numerical tool to compute particle dark matter observables in generic new physics models. The new version features a comprehensive and automated framework for dark matter searches at the interface of collider physics, astrophysics and cosmology and is deployed as a plugin of the MadGraph5_aMC@NLO platform, inheriting most of its features. With respect to the previous version, MadDM v.3.0 can now provide predictions for indirect dark matter signatures in astrophysical environments, such as the annihilation cross section at present time and the energy spectra of prompt photons, cosmic rays and neutrinos resulting from dark matter annihilation. MadDM indirect detection features support both 222\to2 and 2n2 \to n dark matter annihilation processes. In addition, the ability to compare theoretical predictions with experimental constraints is extended by including the Fermi-LAT likelihood for gamma-ray constraints from dwarf spheroidal galaxies and by providing an interface with the nested sampling algorithm PyMultinNest to perform high dimensional parameter scans efficiently. We validate the code for a wide set of dark matter models by comparing the results from MadDM v.3.0 to existing tools and results in the literature.
Note:
  • 42 pages + references, 13 figures, 2 tables. Revised version matches the published version, minor changes
  • Dark Matter
  • Indirect detection
  • Numerical tools
  • MadDM
  • dark matter: annihilation
  • dark matter: signature
  • cross section: annihilation
  • photon: direct production
  • interface
  • cosmological model: parameter space