A differentiable forward model and likelihood enable probabilistic inference over many spatial morphologies for the Galactic Center gamma-ray Excess using variational methods on GPUs.
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Refined Fermi-LAT analysis finds the Galactic Center Excess has a centrally concentrated spherical morphology consistent with generalized Navarro-Frenk-White inner slope ~1.15, significant across interstellar emission models, with spectrum peaking at a few GeV and upper limits above tens of GeV.
WIMP models for the Galactic Center Excess survive only in finely tuned resonant funnels with portal couplings around 10^-4, with leptophilic vectors and pseudoscalar portals remaining most viable after current bounds.
Updated constraints on two simplified dark matter models for the Galactic Center Excess leave unconstrained parameter space after applying recent multi-experiment data.
citing papers explorer
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High-dimensional inference for the $\gamma$-ray sky with differentiable programming
A differentiable forward model and likelihood enable probabilistic inference over many spatial morphologies for the Galactic Center gamma-ray Excess using variational methods on GPUs.
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A Precise Measurement of the Fermi-LAT Galactic Center Excess Morphology and Spectrum
Refined Fermi-LAT analysis finds the Galactic Center Excess has a centrally concentrated spherical morphology consistent with generalized Navarro-Frenk-White inner slope ~1.15, significant across interstellar emission models, with spectrum peaking at a few GeV and upper limits above tens of GeV.
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A Comprehensive Study of WIMP Models Explaining the Fermi-LAT Galactic Center Excess
WIMP models for the Galactic Center Excess survive only in finely tuned resonant funnels with portal couplings around 10^-4, with leptophilic vectors and pseudoscalar portals remaining most viable after current bounds.
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Testing Viability of Benchmark Dark Matter Models for the Galactic Center Excess
Updated constraints on two simplified dark matter models for the Galactic Center Excess leave unconstrained parameter space after applying recent multi-experiment data.