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Dark matter constraints from dwarf galaxies: a data-driven LAT analysis
Python code to derive data-driven upper limits on the thermally averaged, velocity-weighted pair-annihilation cross-section (velocity-independent) of a user-defined particle dark matter model using the expected differential gamma-ray spectrum of pair-annihilation events (provided by the user) as ...
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Description
Python code to derive data-driven upper limits on the thermally averaged, velocity-weighted pair-annihilation cross-section (velocity-independent) of a user-defined particle dark matter model using the expected differential gamma-ray spectrum of pair-annihilation events (provided by the user) as well as 10 years of Fermi-LAT data from observations of the Milky Way´s dwarf spheroidal galaxies.
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Contributors
FC
Francesca Calore
LAPTh, CNRS
BZ
Bryan Zaldívar
IFT-UAM/CSIC
PS
Pasquale Serpico
LAPTh, CNRS
CE
Christopher Eckner
LAPTh, CNRS