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March 14, 2026Journal of High Energy Physics2 citationsOpen Access

Self-interacting sub-GeV dark matter with strong MeV gamma-ray

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YWYu Watanabe

Key Points

  • The research aims to address small-scale structure issues in sub-GeV dark matter scenarios.
  • Proposed a model featuring two distinct mediators for relic abundance and self-scattering.
  • Developed a singlet scalar dark matter model with self-scattering mediated by a vector boson.
  • Analyzed cosmological, experimental, and theoretical constraints to identify viable parameter regions.
  • Identified parameter regions that reproduce observed relic density and alleviate small-scale problems.
  • Predicted distinctive MeV gamma-ray signals, potentially observable with next-generation telescopes, such as COSI.

Abstract

A bstract Sub-GeV dark matter (DM) with s -channel resonant self-scattering provides a promising framework for addressing small-scale structure problems. However, models that also account for the observed relic abundance through the same resonance are strongly constrained by current γ -ray observations, since the associated signals are significantly enhanced. To overcome this limitation, we propose a framework in which the relic abundance and self-scattering are governed independently by two distinct mediators. As a concrete realization, we present a singlet scalar DM model in which self-scattering is mediated by a vector boson associated with a gauged baryon number, while the relic density is determined by forbidden annihilation into dark Higgs bosons that generate the gauge boson mass. By imposing cosmological, experimental, and theoretical constraints, We identify viable parameter regions that reproduce the observed relic density, alleviate small-scale problems, and remain consistent with current bounds. Notably, the model predicts multiple distinctive MeV γ -ray signals, a significant fraction of which will be testable with next-generation MeV γ -ray telescopes, including the Compton Spectrometer and Imager (COSI).

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Cite This Study

Yu Watanabe (2026) studied this question.

synapsesocial.com/papers/69b4adc718185d8a398019a7https://doi.org/10.1007/jhep03(2026)104
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