Revisiting Multi-Component Dark Matter with New AMS-02 Data
Chao-Qiang Geng, Da Huang, Chang Lai

TL;DR
This paper evaluates multi-component dark matter models against recent AMS-02 data, finding two-component models fit observations better and are consistent with gamma-ray constraints, unlike single-component models.
Contribution
It demonstrates that two-component leptonically decaying dark matter models better explain AMS-02 data and satisfy gamma-ray constraints, compared to single-component models.
Findings
Two-component models fit AMS-02 positron data better.
Single-component models are limited by positron fraction data.
Two-component models are consistent with gamma-ray constraints.
Abstract
We revisit the multi-component leptonically decaying dark matter (DM) scenario to explain the possible electron/positron excesses with the recently updated AMS-02 data. We find that both the single- and two-component DM models can fit the positron fraction and respective fluxes, in which the two-component ones provide better fits. However, for the single-component models, the recent AMS-02 data on the positron fraction limit the DM cutoff to be smaller than 1 TeV, which conflicts with the high-energy behavior of the AMS-02 total flux spectrum, while the two-component DM models do not possess such a problem. We also discuss the constraints from the Fermi-LAT measurement of the diffuse -ray spectrum. We show that the two-component DM models are consistent with the current DM lifetime bounds. In contrast, the best-fit DM lifetimes in the single-component models…
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