Hazma: A Python Toolkit for Studying Indirect Detection of Sub-GeV Dark Matter
Skip to main content
eScholarship
Open Access Publications from the University of California

Hazma: A Python Toolkit for Studying Indirect Detection of Sub-GeV Dark Matter

  • Author(s): Coogan, Adam
  • Morrison, Logan
  • Profumo, Stefano
  • et al.
Abstract

With several proposed MeV gamma-ray telescopes on the horizon, it is of paramount importance to perform accurate calculations of gamma-ray spectra expected from sub-GeV dark matter annihilation and decay. We present $\textbf{hazma}$, a python package for reliably computing these spectra, determining the resulting constraints from existing gamma-ray data, and prospects for upcoming telescopes. For high-level analyses, $\textbf{hazma}$ comes with several built-in dark matter models where the interactions between dark matter and hadrons have been determined in detail using chiral perturbation theory. Additionally, $\textbf{hazma}$ provides tools for computing spectra from individual final states with arbitrary numbers of light leptons and mesons, and for analyzing custom dark matter models. $\textbf{hazma}$ can also produce electron and positron spectra from dark matter annihilation, enabling precise derivation of constraints from the cosmic microwave background.

Many UC-authored scholarly publications are freely available on this site because of the UC Academic Senate's Open Access Policy. Let us know how this access is important for you.

Main Content
Current View