Presents a tensorized GPU implementation of the 2-to-2 elastic self-collision operator for dark-sector particles and applies it to a two-source freeze-in scenario where self-interactions erase bimodal features.
Cannibal Dark Matter and Large Scale Structure
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abstract
Cannibals are dark matter particles with a scattering process that allows three particles to annihilate to two. This exothermic process keeps the gas of the remaining particles warm long after they become non-relativistic. A cannibalizing dark sector which is decoupled from the Standard Model naturally arises from a pure-glue confining hidden sector. It has an effective field theory description with a single massive interacting real scalar field, the lightest glueball. Since warm dark matter strongly suppresses growth of structure cannibals cannot be all of the dark matter. Thus we propose a scenario where most dark matter is non-interacting and cold but about 1 percent is cannibalistic. We review the cannibals' unusual scaling of the temperature and energy and number densities with redshift and generalize the equations for the growth of matter density perturbations to the case of cannibals. We solve the equations numerically to predict the scaling of the Hubble parameter and the characteristic shape of the linear matter power spectrum as a function of model parameters. Our results may have implications for the $\sigma_8$ and $H_0$ problems.
fields
hep-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Review of confining dark sectors summarizing dark matter candidates, abundance mechanisms, discovery channels, and applications to the abundance similarity puzzle.
citing papers explorer
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KineticXGPU: A Tensorized Collision Operator for Dark-Sector Self-Scattering
Presents a tensorized GPU implementation of the 2-to-2 elastic self-collision operator for dark-sector particles and applies it to a two-source freeze-in scenario where self-interactions erase bimodal features.
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Rich Phenomenology from Simple Ingredients: A Review of Confining Dark Sectors
Review of confining dark sectors summarizing dark matter candidates, abundance mechanisms, discovery channels, and applications to the abundance similarity puzzle.