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DMγSpec
DMγSpec provides γ-spectra for wino and Higgsino dark matter
annihilation. The results include NLL' (NLL + NLO) Sudakov resummation at the
endpoint merged with the electroweak parton shower PPPC4DM to create a spectrum
for all possible photon energies. In addition, the code also includes the
Sommerfeld effect up to NLO.
Details on the spectra and the code can be found in
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M. Beneke, K.Urban, and M. Vollmann
Matching resummed endpoint and continuum γ-ray spectra from dark matter annihilation
arXiv:2203.01692 [hep-ph]
and the documentation.
Please cite the above, and PPPC4DM
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M. Cirelli, G. Corcella, A. Hektor, G. Hütsi, M. Kadastik, P. Panci, M. Raidal, F. Sala, and A. Strumia
PPPC 4 DM ID: A Poor Particle Physicist Cookbook for Dark Matter Indirect Detection
JCAP 03 (2011) 051,
JCAP 10 (2012) E01 (erratum),
arXiv:1012.4515 [hep-ph]
if DMγSpec is used for published work. If the wino spectra with the NLO
potentials are used, please cite in addition
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M. Beneke, A. Broggio, C. Hasner, and M. Vollmann
Energetic γ-rays from TeV scale dark matter annihilation resummed
Phys.Lett.B 786 (2018) 347-354,
Phys.Lett.B 810 (2020) 135831 (erratum),
arXiv:1805.07367 [hep-ph]
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M. Beneke, A. Broggio, C. Hasner, K. Urban, and M. Vollmann
Resummed photon spectrum from dark matter annihilation for intermediate and narrow energy resolution
JHEP 08 (2019) 103,
JHEP 07 (2020) 145 (erratum),
arXiv:1903.08702 [hep-ph]
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M. Beneke, R. Szafron, and K. Urban
Wino potential and Sommerfeld effect at NLO
Phys.Lett.B 800 (2020) 135112,
arXiv: 1909.04584 [hep-ph]
and if you use the Higgsino spectra with the NLO potentials
instead.
DMγSpec is written in Python. For details on the functionality and how
to load the package, see the documentation and the provided
example Jupyter notebook file.
For questions, comments, and bug reports write
to dmyspec@projects.hepforge.org.
Download
DMγSpec is maintained through
its HepForge repository.
The current version can be obtained
from here
and the documentation can be
found here.
Required Software
The following Python packages are used by DMγSpec and are required in
addition to a Python 3 installation (see the documentation
for more details):
numpy
scipy
If the example Jupyter notebook file is to be used, in addition the following
packages are required:
matplotlib
jupyter
License
DMγSpec is free software distributed under
the GNU GPLv3 license.
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