Improving the Sensitivity of Gamma-Ray Telescopes to Dark Matter Annihilation in Dwarf Spheroidal Galaxies
Eric Carlson, Dan Hooper, Tim Linden

TL;DR
This paper enhances gamma-ray telescope sensitivity to dark matter signals by using multi-wavelength data to reduce background contamination, especially unresolved sources, thereby improving detection prospects in dwarf spheroidal galaxies.
Contribution
It demonstrates that masking known sources with multi-wavelength catalogs significantly reduces false signals, improving dark matter detection sensitivity in gamma-ray observations.
Findings
Masking known sources reduces false TS>8.7 excesses by over 50%.
Unresolved subhalos are a significant irreducible background.
Multi-wavelength data improves background characterization and sensitivity.
Abstract
The Fermi-LAT collaboration has studied the gamma-ray emission from a stacked population of dwarf spheroidal galaxies and used this information to set constraints on the dark matter annihilation cross section. Interestingly, their analysis uncovered an excess with a test statistic (TS) of 8.7. If interpreted naively, this constitutes a 2.95 sigma local excess (p-value=0.003), relative to the expectations of their background model. In order to further test this interpretation, the Fermi-LAT team studied a large number of blank sky locations and found TS>8.7 excesses to be more common than predicted by their background model, decreasing the significance of their dwarf excess to 2.2 sigma (p-value=0.027). We argue that these TS>8.7 blank sky locations are largely the result of unresolved blazars, radio galaxies, and starforming galaxies, and show that multi-wavelength information can be…
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