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Title: Hazma: a python toolkit for studying indirect detection of sub-GeV dark matter

Journal Article · · Journal of Cosmology and Astroparticle Physics
 [1];  [2];  [3]
  1. Univ. of Amsterdam (Netherlands). Inst. of Physics. GRAPPA; OSTI
  2. Univ. of California, Santa Cruz, CA (United States). Dept. of Physics
  3. Univ. of California, Santa Cruz, CA (United States). Dept. of Physics; Santa Cruz Inst. for Particle Physics, Santa Cruz, CA (United States)

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

Research Organization:
Univ. of California, Santa Cruz, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
SC0010107
OSTI ID:
1802046
Journal Information:
Journal of Cosmology and Astroparticle Physics, Journal Name: Journal of Cosmology and Astroparticle Physics Journal Issue: 01 Vol. 2020; ISSN 1475-7516
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English

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Cited By (2)

Dark matter spectra from the electroweak to the Planck scale text January 2021
Integral X-ray constraints on sub-GeV Dark Matter text January 2020

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