Cosmological Simulations of Multi-Component Cold Dark Matter

TL;DR

This paper introduces a two-component quantum flavor-mixed dark matter model, simulated through N-body cosmology, which aligns with observations and addresses key cosmological puzzles, offering testable predictions.

Contribution

It is the first to incorporate quantum flavor-mixed properties into cosmological simulations, showing improved agreement with observational data and resolving longstanding issues in dark matter research.

Findings

Reduced substructure in dark matter halos

Flattened density profiles in halo centers

Consistent with observational data across scales

Abstract

The nature of dark matter is unknown. A number of dark matter candidates are quantum flavor-mixed particles but this property has never been accounted for in cosmology. Here we explore this possibility from the first principles via extensive $N$-body cosmological simulations and demonstrate that the two-component dark matter model agrees with observational data at all scales. Substantial reduction of substructure and flattening of density profiles in the centers of dark matter halos found in simulations can simultaneously resolve several outstanding puzzles of modern cosmology. The model shares the "why now?" fine-tuning caveat pertinent to all self-interacting models. Predictions for direct and indirect detection dark matter experiments are made.