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

TL;DR

Hazma is a Python toolkit designed to accurately compute gamma-ray spectra from sub-GeV dark matter annihilation and decay, aiding in analysis for current and future gamma-ray telescopes.

Contribution

It introduces a comprehensive Python package that models dark matter interactions with hadrons and leptons, enabling precise spectral calculations and constraint derivations.

Findings

Provides reliable gamma-ray spectra calculations for sub-GeV dark matter

Enables analysis of constraints from existing gamma-ray data

Supports predictions for upcoming gamma-ray telescopes

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 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, 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, 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. hazma can also produce electron and positron spectra from dark matter annihilation, enabling precise derivation of constraints from the cosmic microwave background.