One-loop weak corrections to fermionic MDM annihilation cross sections are computed, with IR divergences canceling in the s-wave and 5% effects in doublet, triplet, and quintuplet cases.
Weak Corrections are Relevant for Dark Matter Indirect Detection
5 Pith papers cite this work. Polarity classification is still indexing.
abstract
The computation of the energy spectra of Standard Model particles originated from the annihilation/decay of dark matter particles is of primary importance in indirect searches of dark matter. We compute how the inclusion of electroweak corrections significantly alter such spectra when the mass M of dark matter particles is larger than the electroweak scale: soft electroweak gauge bosons are copiously radiated opening new channels in the final states which otherwise would be forbidden if such corrections are neglected. All stable particles are therefore present in the final spectrum, independently of the primary channel of dark matter annihilation/decay. Such corrections are model independent.
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representative citing papers
ANTARES Galactic Ridge upper limits yield competitive dark-matter annihilation/decay bounds, the first neutrino-based branon constraints, and a negative KM3NeT forecast for the thermal relic cross-section.
The micrOMEGAs dark-matter package now solves Boltzmann equations with user-defined expansion and entropy histories, adds sub-GeV hadronic annihilation, and updates CMB, dwarf-galaxy, LZ, and CMS constraints.
This work sets new upper limits on decay lifetimes and couplings for axion-like particles, dark photons, scalars, and B-L or L_i-L_j vector bosons using 511 keV line, X-ray continuum, and cosmic-ray flux observations.
Updated constraints on two simplified dark matter models for the Galactic Center Excess leave unconstrained parameter space after applying recent multi-experiment data.
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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.